Singh, S. M.

Post Graduate Institute of Medical Education and Research

Unclaimed · AI-structured profileORCID OpenAlex

Psychiatric genetics and epidemiology researcher at PGIMER, spanning rare CNV analysis in PTSD and youth mental health

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

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h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-02) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.

Research profile

Output—

Publication-count and productivity data are not yet available for this profile, so output is unscored; this axis would measure total papers, preprints, authorship positions and overall output volume over time.

Impact—

Citation counts and other impact indicators are absent from the current data, so impact is unscored; this axis would track citations, readership and downstream uptake of the reviewed work.

Focus0/100

Focus scores low because the raw field distribution is an exact 50/50 split between psychiatric genetics and psychiatric epidemiology/public health, with no dominant specialty yet. The two reviewed 2026 preprints sit one on each side: a whole-genome sequencing study of rare CNVs in PTSD, and a structural equation modelling study of victimisation and suicidality in North Indian youth. This reads as an intentionally two-sided, method-translating portfolio rather than scattered topic-hopping.

Collaboration59/100

The collaboration score is 59, computed from a network of 18 distinct coauthors in the raw bibliometric data. A recurrent psychiatric-genetics cluster dominates the frequent-coauthor list — Kramer, Peterson, Chatzinakos, Webb, Coleman, Amstadter, Elswick Gentry, Maes, Riley and Kendler — matching the WGS/CNV preprint, while Farajzadeh Valilou and Vieno align with the youth-epidemiology study. Across the two papers Singh is a middle author once and last author once, never corresponding.

Activity—

Recent-year publishing frequency cannot be computed from the data at hand, so activity is unscored; this axis would measure publication cadence and continuity across recent years.

Reproducibility78/100

Reproducibility averages 78 across the two reviewed papers (reproPapers: 2). Evolve rates the victimisation/depression/SEM preprint high for reproducibility readiness, while the whole-genome sequencing rare-CNV study of PTSD is rated medium, reflecting reliance on small CNVs and a non-standard cross-ancestry meta-analysis. For an early record built on preprints, a mid-to-high mean suggests methods and data are largely traceable, with the genomic analysis the clearer audit target.

Research summary

This profile is name-resolved from public bibliographic data for Singh, S. M., affiliated with the Post Graduate Institute of Medical Education and Research (PGIMER). The reviewed record is early-stage but coherent: two 2026 medRxiv preprints split exactly evenly in the Evolve field distribution between psychiatric genetics and psychiatric epidemiology/public health (0.5 each). The first, a middle-author contribution, applies whole-genome sequencing and biobank data, including the All of Us Research Program, to rare copy number variation in PTSD; Evolve's review calls it the first multi-ancestry WGS rCNV study of the disorder while flagging reliance on small CNVs and a non-standard meta-analysis. The second, where Singh is last-listed author, models victimisation, depression and suicidal ideation among North Indian youth through structural equation modelling; the path chain is judged plausible but fit indices miss conventional thresholds, so causal readings are discouraged. Reproducibility readiness averages 78 across the two reviewed papers (high for the SEM study, medium for the genomics preprint). The collaboration network spans 18 distinct coauthors, including a recurring psychiatric-genetics cluster alongside coauthors on the youth-epidemiology work, with Singh in neither case the corresponding author.

Collaboration pattern

Singh's raw snapshot lists 18 distinct coauthors and a collaboration score of 59. The frequent-coauthor list is dominated by a psychiatric-genetics cluster — Kramer, Peterson, Chatzinakos, Webb, Coleman, Amstadter, Elswick Gentry, Maes, Riley and Kendler — consistent with the WGS/CNV PTSD preprint, while Farajzadeh Valilou and Vieno sit closer to the youth victimisation study. Across the two reviewed papers Singh takes middle authorship once and last authorship once, neither time as corresponding author.

Research keywords

PTSDrare copy number variantswhole-genome sequencingcross-ancestry meta-analysisgene-set burden analysisAll of Us Research Programvictimisationstructural equation modellingsuicidal ideationdepressionyouth mental healthpsychiatric epidemiology

Highlights

First multi-ancestry WGS study of rare CNVs in PTSD
A middle-author medRxiv preprint mines whole-genome sequencing and biobank data, including the All of Us Research Program, to test rare copy number variation burden in PTSD. Evolve's review credits it as the first multi-ancestry WGS rCNV study of the disorder and notes a reported deletion-count burden, while judging the findings suggestive pending scrutiny of small CNVs and the non-standard meta-analysis.
Structural equation model ties youth victimisation to suicidality via depression
Last-listed author on a medRxiv preprint using structural equation modelling to connect victimisation, depression and suicidal ideation among youth in North India. Evolve finds the proposed path chain — victimisation acting through fights and depression onto suicidality — plausible in this cross-sectional sample, but notes fit indices miss conventional thresholds, so causal readings should stay cautious.
Methods-translating record with graded reproducibility readiness
The two reviewed preprints split the Evolve field distribution evenly (psychiatric genetics 0.5; psychiatric epidemiology/public health 0.5) and carry reproducibility readiness of high (SEM study) and medium (WGS CNV study), averaging 78 — an early but auditable two-track portfolio spanning genomic burden analysis and survey-based structural equation modelling.

Timeline

2026Co-authored a medRxiv preprint on rare copy number variation in PTSD using whole-genome sequencing and biobank data (middle author, non-corresponding).
2026Last-listed author on a medRxiv preprint applying structural equation modelling to victimisation, depression and suicidal ideation among youth in North India.
2026Both preprints entered the Evolve catalog, with verdicts noting suggestive CNV findings and SEM fit indices below conventional thresholds.

Papers in the Evolve catalog

Frequent co-authors

Kramer, S.×1 Farajzadeh Valilou, S.×1 Vieno, S.×1 Peterson, R. E.×1 Chatzinakos, C.×1 Webb, B. T.×1 Coleman, J. R. I.×1 Amstadter, A. B.×1 Elswick Gentry, A.×1 Maes, H. H.×1 Riley, B.×1 Kendler, K.×1

About this profile

This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.

Radar scores and raw metrics (18 distinct coauthors, 0.5/0.5 field distribution, reproducibility mean 78 over 2 papers) are computed from OpenAlex-based public bibliometric data.
No citation counts, publication totals or recent-year activity data were available; the output, impact and activity radar axes are left unscored rather than estimated.
The reviewed record consists of two 2026 medRxiv preprints; neither has peer-reviewed publication status in this dataset.
The name 'Singh, S. M.' is resolved from public bibliographic data and may be ambiguous; affiliation metadata covers the institution name only, with no country field provided.