David H. Farb

6.2k total citations
85 papers, 5.2k citations indexed

About

David H. Farb is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, David H. Farb has authored 85 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cellular and Molecular Neuroscience, 38 papers in Molecular Biology and 13 papers in Plant Science. Recurrent topics in David H. Farb's work include Neuroscience and Neuropharmacology Research (62 papers), Receptor Mechanisms and Signaling (15 papers) and GABA and Rice Research (13 papers). David H. Farb is often cited by papers focused on Neuroscience and Neuropharmacology Research (62 papers), Receptor Mechanisms and Signaling (15 papers) and GABA and Rice Research (13 papers). David H. Farb collaborates with scholars based in United States, Poland and United Kingdom. David H. Farb's 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 Susan E. Leeman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David H. Farb

82 papers receiving 5.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David H. Farb United States 38 3.6k 2.5k 785 571 562 85 5.2k
Gary A. Gudelsky United States 45 3.5k 1.0× 1.5k 0.6× 749 1.0× 504 0.9× 627 1.1× 141 6.2k
Rochelle D. Schwartz United States 30 3.7k 1.0× 2.9k 1.1× 903 1.2× 593 1.0× 887 1.6× 44 6.0k
Kelvin W. Gee United States 40 3.1k 0.8× 2.0k 0.8× 910 1.2× 267 0.5× 1.1k 1.9× 93 4.6k
Terrell T. Gibbs United States 30 2.3k 0.6× 1.6k 0.6× 635 0.8× 205 0.4× 516 0.9× 48 3.6k
Kazuhiro Takuma Japan 45 2.8k 0.8× 2.7k 1.0× 769 1.0× 1.1k 2.0× 754 1.3× 159 6.7k
Maria Luisa Barbaccia Italy 32 2.5k 0.7× 1.3k 0.5× 1.3k 1.6× 331 0.6× 927 1.6× 76 4.0k
Maria Dorota Majewska United States 25 2.9k 0.8× 1.7k 0.7× 1.9k 2.5× 495 0.9× 1.5k 2.6× 35 5.6k
Dolan B. Pritchett United States 35 5.9k 1.6× 4.6k 1.8× 389 0.5× 345 0.6× 563 1.0× 45 7.3k
Tim Karl Australia 42 2.1k 0.6× 1.3k 0.5× 377 0.5× 985 1.7× 338 0.6× 127 5.0k
Markus Kessler United States 40 2.7k 0.7× 2.6k 1.0× 247 0.3× 492 0.9× 215 0.4× 79 5.4k

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-authorship network of co-authors of David H. Farb

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Farb. A scholar is included among the top collaborators of David H. Farb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David H. Farb. David H. Farb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farb, David H., et al.. (2025). Age-dependent increases in dorsal hippocampal postsynaptic α5GABA-a receptors may be lost in a rat model of Alzheimer’s disease. Scientific Reports. 16(1). 171–171. 1 indexed citations
2.
3.
Farb, David H., Andrea J. Rapkin, Elizabeth J. Geller, et al.. (2023). (083) Baseline Characteristics of Participants in a Multicenter Randomized Clinical Trial of Vestibulodynia: Understanding Pathophysiology and Determining Appropriate Treatments (Vestibulodynia: UPDATe). The Journal of Sexual Medicine. 20(Supplement_2). 1 indexed citations
4.
5.
Ratner, Marcia H., Vidhya Kumaresan, & David H. Farb. (2019). Neurosteroid Actions in Memory and Neurologic/Neuropsychiatric Disorders. Frontiers in Endocrinology. 10. 169–169. 72 indexed citations
6.
Saha, Shamol, Yinghui Hu, Stella C. Martin, et al.. (2013). Polycomblike protein PHF1b: a transcriptional sensor for GABA receptor activity. BMC Pharmacology and Toxicology. 14(1). 37–37. 8 indexed citations
7.
Kim, Julia, Daniel S. Roberts, Yinghui Hu, et al.. (2011). Brain‐derived neurotrophic factor uses CREB and Egr3 to regulate NMDA receptor levels in cortical neurons. Journal of Neurochemistry. 120(2). 210–219. 59 indexed citations
8.
Sadri‐Vakili, Ghazaleh, Gregory C. Janis, R. Christopher Pierce, Terrell T. Gibbs, & David H. Farb. (2008). Nanomolar Concentrations of Pregnenolone Sulfate Enhance Striatal Dopamine Overflow in Vivo. Journal of Pharmacology and Experimental Therapeutics. 327(3). 840–845. 11 indexed citations
9.
10.
Malayev, Andrew, Terrell T. Gibbs, & David H. Farb. (2002). Inhibition of the NMDA response by pregnenolone sulphate reveals subtype selective modulation of NMDA receptors by sulphated steroids. British Journal of Pharmacology. 135(4). 901–909. 146 indexed citations
11.
McLean, Pamela J., et al.. (2000). A Minimal Promoter for the GABAA Receptor α6‐Subunit Gene Controls Tissue Specificity. Journal of Neurochemistry. 74(5). 1858–1869. 20 indexed citations
12.
Malayev, Andrew, et al.. (1999). Sulfated and unsulfated steroids modulate γ-aminobutyric acidA receptor function through distinct sites. Brain Research. 830(1). 72–87. 312 indexed citations
13.
Malayev, Andrew, et al.. (1998). Neurosteroid modulation of recombinant ionotropic glutamate receptors. Brain Research. 803(1-2). 153–160. 72 indexed citations
14.
Weaver, Charles E., et al.. (1997). N‐メチル‐D‐アスパラギン酸レセプターの新規ステロイド阻害剤の神経保護効果. Proc Natl Acad Sci USA. 94(19). 10450–10454. 39 indexed citations
15.
Weaver, Charles E., et al.. (1997). 17β-Estradiol protects against NMDA-induced excitotoxicity by direct inhibition of NMDA receptors. Brain Research. 761(2). 338–341. 242 indexed citations
16.
Wu, Fong‐Sen, et al.. (1997). Distinct Sites for Inverse Modulation ofN-Methyl-d-Aspartate Receptors by Sulfated Steroids. Molecular Pharmacology. 52(6). 1113–1123. 199 indexed citations
17.
Weaver, Charles E. & David H. Farb. (1995). Steroid modulation of NMDA-induced cell death in primary cultures of rat hippocampal neurons. The Society for Neuroscience Abstracts. 21. 73. 2 indexed citations
18.
Rabow, Lois E., Shelley J. Russek, & David H. Farb. (1995). From ion currents to genomic analysis: Recent advances in GABAA receptor research. Synapse. 21(3). 189–274. 422 indexed citations
19.
Irwin, Robert P., Nicholas J. Maragakis, Michael A. Rogawski, et al.. (1992). Pregnenolone sulfate augments NMDA receptor mediated increases in intracellular Ca2+ in cultured rat hippocampal neurons. Neuroscience Letters. 141(1). 30–34. 137 indexed citations
20.
Gibbs, Terrell T., et al.. (1991). Negative Modulation of the 7-Aminobutyric Acid Response by Extracellular Zinc. Molecular Pharmacology. 40(5). 766–773.

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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