LabCompass

Rebecca McNally Keehn

Neuroscience · Indiana University

OpenAlex ORCID
Mid career · publishing since 2008
Autism Spectrum Disorder ResearchFamily and Disability Support ResearchInfant Development and Preterm CareChild Nutrition and Feeding IssuesCerebral Palsy and Movement Disorders

Publications

54

Citations

1,020

Est. group size

~2

Recurring co-author estimate

Active years

19

Publishing since 2008

Research summary
AI-generated

Rebecca McNally Keehn studies how young children are evaluated and diagnosed for autism spectrum disorder, with a focus on making early diagnosis more accessible in community and primary care settings. Her work spans practical health-care delivery topics (such as telehealth evaluations, provider training, and disparities in access by race and ethnicity) as well as brain-based research measuring sensory and attention-related neural activity in autistic children. Together, this research aims to improve and expand pathways to timely autism care.

Early autism diagnosis and evaluationAccess to care and health disparitiesTelehealth for neurodevelopmental assessmentProvider training and community care systemsNeural and sensory processing in autism

Publication activity has been steady with periodic peaks, averaging about five papers 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 May 2029 — about 3 years of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.

  • ActiveNIH R01HD116441through May 2029 · $377k awarded

    The Alama Project: Autism outcomes and neurobehavioral markers in young children born to mothers with HIV in Kenya

1 earlier award
  • NIH R21MH121747Aug 2020 – Aug 2023 · $435k awarded

    An innovative model of early ASD diagnosis in the primary care setting: Integrating clinical evaluation and biomarkers to improve diagnostic accuracy

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 575 mid career Neuroscience PIs within our index
Citations: 1,020cohort median 670
h-index: 17cohort median 12
Publications / year (recent): 5.4cohort median 2.6

Typically publishes in teams of ~5 · 8% small-team papers (≤3 authors) · across 21 venues

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
172018: 3 publications182019: 3 publications192020: 5 publications202021: 10 publications10212022: 7 publications222023: 3 publications232024: 10 publications10242025: 3 publications252026: 4 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: 0 collaborators at the same institution2019: 0 collaborators at the same institution2020: 0 collaborators at the same institution2021: 0 collaborators at the same institution2022: 9 collaborators at the same institution2023: 0 collaborators at the same institution2024: 3 collaborators at the same institution2025: 0 collaborators at the same institution1719212325
Recent publications
Publishes in
  • Journal of Developmental & Behavioral Pediatrics×7
  • Journal of Autism and Developmental Disorders×4
  • PEDIATRICS×3
  • The Journal of Pediatrics×3
  • Autism Research×2
Similar researchers
By research-topic overlap

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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