David H. Farb

6.2k citations
86 papers · 5.2k · h-index 38

Impact in

Papers in

David H. Farb

83 papers receiving 5.0k citations

Peers

David H. Farb
Comparison fields: 5 of 112
  • Behavioral Neuroscience 707
  • Cellular and Molecular Neuroscience 3.5k
  • Biological Psychiatry 233
  • Developmental Neuroscience 233
  • Neurology 310
Replace Rochelle D. Schwartz with:
Rochelle D. Schwartz United States
Gary A. Gudelsky United States
Terrell T. Gibbs United States
M. J. Kuhar United States
Kelvin W. Gee United States
D.J. Reis United States
Reinhard Grzanna United States
N.M.J. Rupniak United Kingdom
Dolan B. Pritchett United States
Donald R. Gehlert United States
David H. Farb relative to Rochelle D. Schwartz United States Rochelle D. Schwartz's profile →
Citations per field
00.5×
Rochelle D. Schwartz · 1×
Citations per year

Countries citing papers authored by David H. Farb

Since Specialization
Citations

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

Fields of papers citing papers by David H. Farb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991465
2 1995425
3 1999312
4 1979264
5 1997242
6 1977226
7 1997199
8 1988160
9 2002146
10 1992137
11 1994130
12 1981102
13 1997100
14 1999100
15 200599
16 200696
17 200086
18 200481
19 199180
20 200477

About David H. Farb

David H. Farb is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Physiology and Social Psychology, having authored 86 papers that have together received 5.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (62 papers), Receptor Mechanisms and Signaling (15 papers), GABA and Rice Research (13 papers), Neuroendocrine regulation and behavior (9 papers), Stress Responses and Cortisol (9 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Ion channel regulation and function (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Behavioral Neuroscience (707 citations), Cellular and Molecular Neuroscience (3.5k citations), Biological Psychiatry (233 citations), Developmental Neuroscience (233 citations) and Neurology (310 citations). David H. Farb has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Terrell T. Gibbs, Shelley J. Russek, Fong‐Sen Wu, Andrew Malayev, Lois E. Rabow, Robert H. Purdy, G D Fischbach, Dong Wook Choi, Charles E. Weaver and Thomas M. Jessell. Their work appears in journals such as Molecular Pharmacology, Journal of Neurochemistry, Brain Research, Proceedings of the National Academy of Sciences and Journal of Pharmacology and Experimental Therapeutics.

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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