Daniel H. Mathalon

38.0k citations
430 papers · 21.8k indexed · 5 hit papers · h-index 75

Daniel H. Mathalon

405 papers receiving 21.4k citations

Hit Papers

An Individualized Risk C...39119922026200320142505007501000

Peers

Daniel H. Mathalon
Comparison fields: 5 of 173
  • Cognitive Neuroscience 13.4k
  • Biological Psychiatry 1.4k
  • Psychiatry and Mental health 7.1k
  • Experimental and Cognitive Psychology 3.1k
  • Behavioral Neuroscience 569
Replace Stephen M. Lawrie with:
Stephen M. Lawrie United Kingdom
David C. Glahn United States
Robert M. Bilder United States
Murat Yücel Australia
John A. Sweeney United States
Peter F. Liddle United Kingdom
Georg Northoff Canada
Terry E. Goldberg United States
Döst Öngür United States
Monte S. Buchsbaum United States
Daniel H. Mathalon relative to Stephen M. Lawrie United Kingdom Stephen M. Lawrie's profile →
Citations per field
00.5×1.6×
Stephen M. Lawrie · 1×
Citations per year

Countries citing papers authored by Daniel H. Mathalon

Since Specialization
Citations

This map shows the geographic impact of Daniel H. Mathalon'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 Daniel H. Mathalon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Mathalon more than expected).

Fields of papers citing papers by Daniel H. Mathalon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Mathalon. 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 Daniel H. Mathalon. The network helps show where Daniel H. Mathalon may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel H. Mathalon, 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 Daniel H. Mathalon Line = papers co-authored together Daniel H. Mathalon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20244
5 20240
6 20241
7 20246
8 20236
9 20231
10 202311
11 202313
12 202311
13 20239
14 202121
15 202014
16 202010
17 201817
18 201850
19 20181
20 200546

About Daniel H. Mathalon

Daniel H. Mathalon is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Psychiatry and Mental health, having authored 430 papers that have together received 21.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (176 papers), Schizophrenia research and treatment (146 papers), Neural dynamics and brain function (106 papers), Neuroscience and Music Perception (69 papers), Advanced Neuroimaging Techniques and Applications (67 papers), Neural and Behavioral Psychology Studies (52 papers), Mental Health Research Topics (49 papers) and Tryptophan and brain disorders (33 papers). The work is most often cited by research in Cognitive Neuroscience (13.4k citations), Biological Psychiatry (1.4k citations) and Psychiatry and Mental health (7.1k citations). Daniel H. Mathalon has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Judith M. Ford, Edith V. Sullivan, Kelvin O. Lim, Brian J. Roach, Adolf Pfefferbaum, William O. Faustman, Scott W. Woods, Thomas H. McGlashan, Margaret J. Rosenbloom and Robert B. Zipursky. Their work appears in journals such as Schizophrenia Research, Schizophrenia Bulletin, Biological Psychiatry, Biological Psychiatry Cognitive Neuroscience and Neuroimaging and Psychiatry Research.

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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