Jack G. Modell

4.7k citations
52 papers · 3.6k · h-index 31

Impact in

Papers in

Jack G. Modell

51 papers receiving 3.4k citations

Peers

Jack G. Modell
Comparison fields: 5 of 139
  • Biological Psychiatry 174
  • Psychiatry and Mental health 1.0k
  • Pharmacology 718
  • Clinical Psychology 659
  • Cellular and Molecular Neuroscience 530
Replace Eric D. Peselow with:
Eric D. Peselow United States
William H. Wilson United States
Manit Srisurapanont Thailand
Roy J. Mathew United States
L Annable Canada
Armin Szegedi Germany
G Chouinard Canada
Raben Rosenberg Denmark
Otto Benkert Germany
H.‐J. Möller Germany
Jack G. Modell relative to Eric D. Peselow United States Eric D. Peselow's profile →
Citations per field
00.5×1.6×
Eric D. Peselow · 1×
Citations per year

Countries citing papers authored by Jack G. Modell

Since Specialization
Citations

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

Fields of papers citing papers by Jack G. Modell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack G. Modell. 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 Jack G. Modell. The network helps show where Jack G. Modell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004377
2 1989349
3 1995304
4 2005236
5 1990163
6 1997139
7 1990137
8 2005129
9 1992111
10 1992101
11 200698
12 200697
13 198587
14 200580
15 199380
16 201078
17 199577
18 200664
19 198961
20 199058

About Jack G. Modell

Jack G. Modell is a scholar working on Psychiatry and Mental health, Pharmacology, Cellular and Molecular Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology, having authored 52 papers that have together received 3.6k indexed citations. Recurring topics across this work include Treatment of Major Depression (8 papers), Schizophrenia research and treatment (6 papers), Obsessive-Compulsive Spectrum Disorders (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Functional Brain Connectivity Studies (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Biological Psychiatry (174 citations), Psychiatry and Mental health (1.0k citations), Pharmacology (718 citations), Clinical Psychology (659 citations) and Cellular and Molecular Neuroscience (530 citations). Jack G. Modell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James M. Mountz, Barbara R. Haight, Carol B. Rockett, George C. Curtis, John F. Greden, Frederick B. Glaser, Susan M. Learned, James F. Pradko, Stephen M. Stahl and Nathalie Richard. Their work appears in journals such as Journal of Clinical Psychopharmacology, Journal of Neuropsychiatry, Alcoholism Clinical and Experimental Research, The Journal of Clinical Psychiatry and Journal of Psychopharmacology.

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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