Caitlin Ravichandran

3.0k citations
62 papers · 2.0k indexed · h-index 24

Caitlin Ravichandran

58 papers receiving 2.0k citations

Peers

Caitlin Ravichandran
Comparison fields: 5 of 141
  • Biological Psychiatry 113
  • Cognitive Neuroscience 832
  • Psychiatry and Mental health 525
  • Radiology, Nuclear Medicine and Imaging 579
  • Neurology 141
Replace Daniel Felsky with:
Daniel Felsky Canada
Liam M. O’Brien United States
Jesús J. Gomar Spain
Nicolas R. Bolo United States
Daniel Mamah United States
Becky Inkster United Kingdom
Lori L. Beason‐Held United States
Teresa Popolizio Italy
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T. William J. Moorhead United Kingdom
Caitlin Ravichandran relative to Daniel Felsky Canada Daniel Felsky's profile →
Citations per field
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Citations per year

Countries citing papers authored by Caitlin Ravichandran

Since Specialization
Citations

This map shows the geographic impact of Caitlin Ravichandran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Caitlin Ravichandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Ravichandran more than expected).

Fields of papers citing papers by Caitlin Ravichandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin Ravichandran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Caitlin Ravichandran. The network helps show where Caitlin Ravichandran may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Caitlin Ravichandran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caitlin Ravichandran Line = papers co-authored together Caitlin Ravichandran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20241
5 20244
6 202311
7 20232
8 20224
9 20215
10 202016
11 201915
12 20195
13 201843
14 201715
15 201420
16 201318
17 201333
18 201154
19 201029
20 200635

About Caitlin Ravichandran

Caitlin Ravichandran is a scholar working on Psychiatry and Mental health, Developmental Neuroscience and Cognitive Neuroscience, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (10 papers), Autism Spectrum Disorder Research (9 papers), Advanced MRI Techniques and Applications (8 papers), Functional Brain Connectivity Studies (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Attention Deficit Hyperactivity Disorder (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Williams Syndrome Research (4 papers). The work is most often cited by research in Biological Psychiatry (113 citations), Cognitive Neuroscience (832 citations) and Psychiatry and Mental health (525 citations). Caitlin Ravichandran has collaborated with scholars based in United States, Türkiye and Italy. Frequent co-authors include Garrett M. Fitzmaurice, Bruce M. Cohen, Nicholas Lange, Andrew L. Alexander, Alyson Froehlich, Janet E. Lainhart, Erin D. Bigler, P. Thomas Fletcher, Molly B. DuBray and Döst Öngür. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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