Mid-author contributor bridging computational ecology and translational HIV immunology at UC San Francisco
2
papers here
2
reviewed by Evolve
0
first-author
0
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—
Not yet scored: this profile lacks publication-volume data (total papers and productivity over time). Only the two Evolve-reviewed 2026 preprints are on record, which is far too thin to estimate research output.
Impact—
Not yet scored: no citation counts, h-index, or downstream influence data were provided. This axis would measure how widely the two cataloged preprints are cited and taken up by follow-up work.
Focus0/100
Scores 0/100 because the cataloged output splits evenly — 50% computational ecology/biodiversity informatics and 50% HIV cure research/translational immunology — across two 2026 preprints. With only two records, this may reflect a mid-author serving two unrelated teams rather than genuinely scattered interests; more records would clarify whether the split is transitional.
Collaboration68/100
Scores 68/100, derived from 29 distinct coauthors across the available records. Recurring collaborators include Baiotto, T., Cosma, C., and Cheung, Y. Y. J., among a core of twelve frequent partners. The breadth fits co-authorship on two large, unrelated team projects — a pollinator-network modeling study and a clinical HIV immunology trial — rather than a small single-lab group.
Activity—
Not yet scored: publication cadence and recency trends (papers per year, gaps, recent output) are unavailable. Only two records exist, both dated 2026, so ongoing research activity cannot yet be characterized.
Reproducibility38/100
Scores 38/100, averaged across the 2 cataloged papers. The plant-pollinator network preprint rates medium readiness — visitation links were strongly validated, though host links remain untested — while the canakinumab HIV study rates low, being an n=10 uncontrolled pre-post omics study. Reproducibility is thus early and uneven across the two domains.
Research summary
Li, D. is a researcher at the University of California, San Francisco whose cataloged output spans two very different domains: computational ecology/biodiversity informatics and HIV cure research/translational immunology. Both works are 2026 preprints in which Li is a middle, non-corresponding author — a contributor embedded in larger team efforts. The first reconstructs local plant–pollinator interaction networks from global biodiversity data to guide pollinator restoration decisions (bioRxiv; medium reproducibility readiness). The second evaluates therapeutic IL-1β blockade with canakinumab in people with HIV, reporting reservoir reduction via enhanced CD8 and CD4 effector function and reversal of monocyte dysfunction (medRxiv; an n=10 uncontrolled pre–post omics study, hence low readiness). Radar dimensions show moderate collaboration (68/100 from 29 distinct coauthors), low focus (0/100, reflecting an even 50/50 field split), and modest reproducibility (38/100 averaged across 2 papers). Output, impact, and activity are unscored because the underlying bibliometric data are not yet available. This is an early-stage profile: conclusions rest on two reviewed preprints, and the identity is name-resolved from public bibliographic data.
Collaboration pattern
Li's collaboration network spans 29 distinct coauthors, with a recurring core of twelve frequent partners including Baiotto, T., Cosma, C., Cheung, Y. Y. J., Woodard, J., Wood, E., Williams, N. M., Seltmann, K. C., and Fleri, J. R. The pattern — middle authorship on two unrelated, large team projects in ecology and clinical immunology — suggests Li works as a technical contributor within consortia rather than leading an independent group; the 68/100 collaboration score reflects breadth more than leadership.
Research keywords
Highlights
Global biodiversity data yield local pollinator networks for restoration
IL-1β blockade with canakinumab linked to reduced HIV reservoir
Timeline
- 2026Co-authored a bioRxiv preprint reconstructing local plant-pollinator interaction networks from global biodiversity data for restoration decision making.
- 2026Co-authored a medRxiv preprint reporting that therapeutic IL-1β blockade with canakinumab reduced the HIV reservoir in people with HIV.
- 2026Both preprints were reviewed and cataloged by Evolve, forming the basis of this early-stage profile.
Papers in the Evolve catalog
Frequent co-authors
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 are computed from a limited bibliometric snapshot; no citation, h-index, or publication-volume data were available, leaving output, impact, and activity unscored.
- Identity is name-resolved from public bibliographic data; 'Li, D.' is a common name and no ORCID was provided, so attribution carries uncertainty.
- The profile rests on only two 2026 preprints, both with Li as a middle, non-corresponding author; career-stage and leadership inferences are preliminary.
- The two covered works span unrelated fields, so aggregated metrics mix distinct collaboration networks and venues.