LabCompass

David M. Haas

Medicine · Indiana University

Established · publishing since 1969

Publications

606

Citations

12,480

Est. group size

~8

Recurring co-author estimate

Active years

58

Publishing since 1969

Research summary
AI-generated

David M. Haas studies pregnancy and maternal health, focusing on how to predict and prevent complications such as hypertensive disorders (including preeclampsia), gestational diabetes, and adverse birth outcomes. Much of the work uses large pregnancy cohorts and molecular data (proteins, genetics, the gut microbiome) to identify biomarkers and risk factors, and examines racial, ethnic, and socioeconomic differences in maternal and infant outcomes. The research spans clinical trials, systematic reviews, and data-driven modeling.

Hypertensive disorders of pregnancy and preeclampsiaAdverse pregnancy and perinatal outcomesMaternal biomarkers (proteomics, genetics, microbiome)Health disparities in maternal careReproductive medicine and clinical trials

Publication activity has been high and fairly steady across the decade, rising from around 25 papers per year in 2017 to roughly 40-60 per year in recent years.

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

Funding
Public award records

No award with a current end date on record.

6 earlier awards
  • NIH R01HD101246Aug 2020 – Jan 2025 · $437k awarded

    Machine learning approaches towards risk assessment and prediction of adverse pregnancy outcomes

  • NIH R01HD088014Mar 2016 – Feb 2022 · $265k awarded

    Pharmacokinetics and modeling of betamethasone therapy in threatened preterm birth

  • NIH U10HL119990Aug 2013 – Jun 2017 · $52k awarded

    Pregnancy as a Window to Future Cardiovascular Health

  • NIH U10HD063094Feb 2010 – Dec 2015 · $889k awarded

    Indiana PREGMED

  • NIH U10HD063037Jan 2010 – Dec 2014 · $197k awarded

    Dissecting the Genetic Etiology of Preterm Birth in Nulliparous Women

  • NIH K23HD055305Aug 2008 – Jul 2013 · $135k awarded

    Pharmacogenetics of antenatal corticosteroids to improve neonatal outcomes

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 5,073 established Medicine PIs within our index
Citations: 12,480cohort median 2,525
h-index: 56cohort median 24
Publications / year (recent): 42.0cohort median 4.8

Typically publishes in teams of ~11 · 11% small-team papers (≤3 authors) · across 120 venues

Publication cadence
Publications per year over the last 10 years — averaging 42.0/year recently
2017: 25 publications172018: 29 publications182019: 44 publications192020: 37 publications202021: 63 publications63212022: 48 publications222023: 44 publications232024: 60 publications242025: 51 publications252026: 7 publications26
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: 0 collaborators at the same institution2018: 1 collaborator at the same institution2019: 9 collaborators at the same institution2020: 12 collaborators at the same institution2021: 8 collaborators at the same institution2022: 9 collaborators at the same institution2023: 13 collaborators at the same institution2024: 12 collaborators at the same institution2025: 0 collaborators at the same institution1719212325
Recent publications
Publishes in
  • American Journal of Obstetrics and Gynecology×75
  • Obstetrics and Gynecology×34
  • American Journal of Perinatology×19
  • American Journal of Obstetrics & Gynecology MFM×17
  • Circulation×14
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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 Sep 1, 2026.

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