Kevin F. Gilbert

1.0k total citations
8 papers, 258 citations indexed

About

Kevin F. Gilbert is a scholar working on Infectious Diseases, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kevin F. Gilbert has authored 8 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Organic Chemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kevin F. Gilbert's work include HIV/AIDS drug development and treatment (3 papers), Neuroendocrine regulation and behavior (2 papers) and Neuropeptides and Animal Physiology (2 papers). Kevin F. Gilbert is often cited by papers focused on HIV/AIDS drug development and treatment (3 papers), Neuroendocrine regulation and behavior (2 papers) and Neuropeptides and Animal Physiology (2 papers). Kevin F. Gilbert collaborates with scholars based in United States. Kevin F. Gilbert's co-authors include B. Evans, James L. Leighton, Kenneth E. Rittle, Robert M. DiPardo, Mark G. Bock, G. F. Lundell, Mark W. Stahlhut, David B. Olsen, Willie L. Whitter and V M Garsky and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Kevin F. Gilbert

8 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin F. Gilbert United States	7	111	80	56	48	43	8	258
Francine Liard Canada	8	100 0.9×	70 0.9×	65 1.2×	12 0.3×	62 1.4×	13	286
Victor K. Johnston United States	10	142 1.3×	98 1.2×	177 3.2×	124 2.6×	109 2.5×	14	526
L. J. JENNINGS United States	13	179 1.6×	275 3.4×	27 0.5×	43 0.9×	90 2.1×	31	563
Dandan Huang China	11	146 1.3×	59 0.7×	20 0.4×	20 0.4×	24 0.6×	17	328
Bang-Lin Wan United States	9	104 0.9×	73 0.9×	44 0.8×	33 0.7×	38 0.9×	10	271
Valerie Whiterock United States	12	134 1.2×	105 1.3×	21 0.4×	64 1.3×	66 1.5×	19	445
C. Hamlett United Kingdom	4	123 1.1×	67 0.8×	24 0.4×	4 0.1×	15 0.3×	5	188
Jorge Jaramillo Canada	11	183 1.6×	33 0.4×	4 0.1×	72 1.5×	91 2.1×	29	406
Chris Watson United States	9	279 2.5×	16 0.2×	7 0.1×	187 3.9×	13 0.3×	14	427
Steven G. Kultgen United States	7	87 0.8×	75 0.9×	22 0.4×	20 0.4×	28 0.7×	15	201

Countries citing papers authored by Kevin F. Gilbert

Since Specialization

Citations

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

Fields of papers citing papers by Kevin F. Gilbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin F. Gilbert. 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 Kevin F. Gilbert. The network helps show where Kevin F. Gilbert may publish in the future.

Co-authorship network of co-authors of Kevin F. Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin F. Gilbert. A scholar is included among the top collaborators of Kevin F. Gilbert 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 Kevin F. Gilbert. Kevin F. Gilbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Roecker, Anthony J., Swati P. Mercer, Jeffrey M. Bergman, et al.. (2015). Discovery of diazepane amide DORAs and 2-SORAs enabled by exploration of isosteric quinazoline replacements. Bioorganic & Medicinal Chemistry Letters. 25(21). 4992–4999. 14 indexed citations

Ludmerer, Steven W., Donald J. Graham, Mihir Patel, et al.. (2008). A transient cell-based phenotype assay for hepatitis C NS3/4A protease: Application to potency determinations of a novel macrocyclic inhibitor against diverse protease sequences isolated from plasma infected with HCV. Journal of Virological Methods. 151(2). 301–307. 13 indexed citations

Liverton, Nigel J., M. Katharine Holloway, John A. McCauley, et al.. (2008). Molecular Modeling Based Approach to Potent P2−P4 Macrocyclic Inhibitors of Hepatitis C NS3/4A Protease. Journal of the American Chemical Society. 130(14). 4607–4609. 77 indexed citations

Evans, B., Kevin F. Gilbert, Joseph P. Vacca, et al.. (1995). Cycloalkylpiperazines as HIV-1 protease inhibitors: enhanced oral absorption. Bioorganic & Medicinal Chemistry Letters. 5(22). 2707–2712. 17 indexed citations

Bock, Mark G., Robert M. DiPardo, B. Evans, et al.. (1994). ChemInform Abstract: Development of 1,4‐Benzodiazepine Cholecystokinin Type B Antagonists.. ChemInform. 25(26). 3 indexed citations

Evans, B., G. F. Lundell, Kevin F. Gilbert, et al.. (1993). Nanomolar-affinity, non-peptide oxytocin receptor antagonists. Journal of Medicinal Chemistry. 36(25). 3993–4005. 19 indexed citations

Bock, Mark G., Robert M. DiPardo, B. Evans, et al.. (1993). Development of 1,4-benzodiazepine cholecystokinin type B antagonists. Journal of Medicinal Chemistry. 36(26). 4276–4292. 51 indexed citations

Evans, B., James L. Leighton, Kenneth E. Rittle, et al.. (1992). Orally active, nonpeptide oxytocin antagonists. Journal of Medicinal Chemistry. 35(21). 3919–3927. 64 indexed citations

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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