David Kahn

1.8k citations
109 papers · 1.3k indexed · h-index 17

Impact in

Papers in

David Kahn

93 papers receiving 1.2k citations

Peers

David Kahn
Comparison fields: 5 of 128
  • Psychiatry and Mental health 444
  • Biological Psychiatry 57
  • Endocrine and Autonomic Systems 106
  • Behavioral Neuroscience 47
  • Cellular and Molecular Neuroscience 221
Replace Júlia Pasqualini Genro with:
Júlia Pasqualini Genro Brazil
Huei‐Chen Ko Taiwan
Diana Chase United Kingdom
Evangelos Vassos United Kingdom
Xiehe Liu China
John M. Starr United Kingdom
Marek Krzystanek Poland
Enda M. Byrne Australia
Hyun‐Ghang Jeong South Korea
René Klinkby Støving Denmark
David Kahn relative to Júlia Pasqualini Genro Brazil Júlia Pasqualini Genro's profile →
Citations per field
00.5×1.7×
Júlia Pasqualini Genro · 1×
Citations per year

Countries citing papers authored by David Kahn

Since Specialization
Citations

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

Fields of papers citing papers by David Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Kahn. 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 David Kahn. The network helps show where David Kahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980177
2 2012137
3
The Expert Consensus Guidelines for treating depression in bipolar disorder.
199880
4 200073
5 200670
6 200144
7 200936
8 200034
9 198933
10 199832
11 198230
12 201528
13 197028
14 201127
15 199121
16 199319
17 201116
18 200916
19 199213
20 199013

About David Kahn

David Kahn is a scholar working on Psychiatry and Mental health, Clinical Psychology, Neurology, Pharmacology and Experimental and Cognitive Psychology, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (19 papers), Electroconvulsive Therapy Studies (16 papers), Schizophrenia research and treatment (15 papers), Treatment of Major Depression (10 papers), Diverse Education Studies and Reforms (10 papers), Education Methods and Practices (9 papers), Intelligence, Security, War Strategy (6 papers) and Psychotherapy Techniques and Applications (6 papers). The work is most often cited by research in Psychiatry and Mental health (444 citations), Biological Psychiatry (57 citations), Endocrine and Autonomic Systems (106 citations), Behavioral Neuroscience (47 citations) and Cellular and Molecular Neuroscience (221 citations). David Kahn has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Earl A. Zimmerman, Susan E. Leeman, Gary Abrams, Robert E. Carraway, John P. Docherty, Allen Frances, Daniel Carpenter, Ruth Ross, Stacy L. Donovan and L. Michele Issel. Their work appears in journals such as Journal of Psychiatric Practice, Psychiatric Clinics of North America, Annals of the New York Academy of Sciences, Biological Psychiatry and Bipolar Disorders.

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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