LabCompass

Sha Cao

Biochemistry, Genetics and Molecular Biology · Indiana University

OpenAlex ORCID
Mid career · publishing since 2001
Epigenetics and DNA MethylationGene expression and cancer classificationSingle-cell and spatial transcriptomicsBioinformatics and Genomic NetworksRNA modifications and cancer

Publications

182

Citations

2,184

Est. group size

~6

Recurring co-author estimate

Active years

25

Publishing since 2001

Research summary
AI-generated

Sha Cao develops computational and statistical methods to analyze biological data, especially in cancer research. This work combines multiple types of molecular measurements (such as gene expression, DNA modifications, and metabolic activity) with tools like machine learning and spatial data models to understand tumors, predict disease outcomes, and identify potential treatment targets.

Cancer genomics and bioinformaticsSingle-cell and spatial transcriptomicsMulti-omics data integrationStatistical methods for biological dataDeep learning for disease prediction

Publication activity has varied considerably year to year, with peaks around 2019-2020 and 2023 and lower counts in intervening years, averaging about 16 publications per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

Current awards run through October 2027 — about 1 year of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.

  • ActiveNSF 2514834through Oct 2027 · $597k awarded

    CAREER: Disentangled learning of high dimensional biomedical data in the presence of inherent heterogeneity

1 earlier award
  • NSF 2145314Aug 2022 – Jan 2025 · $597k awarded

    CAREER: Disentangled learning of high dimensional biomedical data in the presence of inherent heterogeneity

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 1,692 mid career Biochemistry, Genetics and Molecular Biology PIs within our index
Citations: 2,184cohort median 809
h-index: 22cohort median 12
Publications / year (recent): 16.0cohort median 3.2

Typically publishes in teams of ~7 · 5% small-team papers (≤3 authors) · across 62 venues

Publication cadence
Publications per year over the last 10 years — averaging 16.0/year recently
2017: 8 publications172018: 9 publications182019: 29 publications192020: 33 publications202021: 6 publications212022: 16 publications222023: 45 publications45232024: 8 publications242025: 11 publications2526
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 1 collaborator at the same institution2018: 0 collaborators at the same institution2019: 20 collaborators at the same institution2020: 11 collaborators at the same institution2021: 1 collaborator at the same institution2022: 0 collaborators at the same institution2023: 17 collaborators at the same institution2024: 0 collaborators at the same institution2025: 8 collaborators at the same institution1719212325
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×18
  • Cancer Research×13
  • arXiv (Cornell University)×7
  • Zenodo (CERN European Organization for Nuclear Research)×6
  • BMC Medical Genomics×3
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By research-topic overlap
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 27, 2026.

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