Shai Gavi

17 total papers · 863 total citations
13 papers, 682 citations indexed

About

Shai Gavi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Animal Science and Zoology. According to data from OpenAlex, Shai Gavi has authored 13 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Animal Science and Zoology. Recurrent topics in Shai Gavi's work include Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Neuropeptides and Animal Physiology (3 papers). Shai Gavi is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Neuropeptides and Animal Physiology (3 papers). Shai Gavi collaborates with scholars based in United States. Shai Gavi's co-authors include Kenneth S. Boockvar, Corinne Kyriacou, Eliot Fishman, Tara Cortes, Craig C. Malbon, Hsien‐yu Wang, Dennis C. Mynarcik, Margaret A. McNurlan, Marie C. Gelato and Mark M. Meléndez and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Shai Gavi

12 papers receiving 663 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shai Gavi	290	159	115	115	100	13	682
Gary J. Okano	104 0.4×	301 1.9×	60 0.5×	42 0.4×	15 0.1×	22	697
Sundas Javad	65 0.2×	30 0.2×	81 0.7×	76 0.7×	28 0.3×	7	689
Hsien-Hao Huang	71 0.2×	51 0.3×	30 0.3×	39 0.3×	44 0.4×	24	578
Isabelle Ligi	113 0.4×	51 0.3×	13 0.1×	86 0.7×	70 0.7×	31	672
Anette Freyer	72 0.2×	138 0.9×	59 0.5×	30 0.3×	173 1.7×	14	717
Jennifer L. Rodgers	94 0.3×	25 0.2×	50 0.4×	81 0.7×	126 1.3×	8	693
Ram D. Pathak	56 0.2×	44 0.3×	92 0.8×	119 1.0×	68 0.7×	24	721
Kim Lamont	92 0.3×	22 0.1×	98 0.9×	36 0.3×	76 0.8×	18	691
Jesse Theisen‐Toupal	55 0.2×	30 0.2×	230 2.0×	204 1.8×	234 2.3×	15	695
B. Cho	91 0.3×	10 0.1×	82 0.7×	127 1.1×	89 0.9×	10	669

Countries citing papers authored by Shai Gavi

Since Specialization

Citations

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

Fields of papers citing papers by Shai Gavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shai Gavi

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

All Works

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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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