Shai Gavi

866 total citations
13 papers, 680 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 680 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 Eliot Fishman, Corinne Kyriacou, Tara Cortes, Kenneth S. Boockvar, Hsien‐yu Wang, Craig C. Malbon, Dennis C. Mynarcik, Mark M. Meléndez, Marie C. Gelato and Elena Shumay 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 661 citations

Peers

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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13 of 13 papers shown

#	Work	Indexed citations
1	Etiology of Hyperglycemia in Hospitalized Patients Using the A1C Test 2013 ·Clinical Diabetes ·(unknown), (unknown), (unknown), (unknown), (unknown), Deepa Aravind, (unknown), Shai Gavi, (unknown)	0
2	Diagnosis and management of type 2 diabetes in adults: a review of the ICSI guideline. 2009 ·PubMed ·Shai Gavi, (unknown)	12
3	Influence of Age on the Association of Retinol‐binding Protein 4 With Metabolic Syndrome 2008 ·Obesity ·Shai Gavi, (unknown), Louise Stuart, (unknown), Mark M. Meléndez, Dennis C. Mynarcik, Margaret A. McNurlan, Marie C. Gelato	41
4	Wall Suction Applied to Needle Muscle Biopsy—A Novel Technique for Increasing Sample Size 2007 ·Journal of Surgical Research ·Mark M. Meléndez, James A. Vosswinkel, Marc J. Shapiro, Marie C. Gelato, Dennis C. Mynarcik, Shai Gavi, Xiaoti Xu, Margaret A. McNurlan	17
5	Limb Fat to Trunk Fat Ratio in Elderly Persons Is a Strong Determinant of Insulin Resistance and Adiponectin Levels 2007 ·The Journals of Gerontology Series A ·Shai Gavi, (unknown), Mark M. Meléndez, Dennis C. Mynarcik, Marie C. Gelato, Margaret A. McNurlan	35
6	Retinol-Binding Protein 4 Is Associated with Insulin Resistance and Body Fat Distribution in Nonobese Subjects without Type 2 Diabetes 2007 ·The Journal of Clinical Endocrinology & Metabolism ·Shai Gavi, Louise Stuart, Patricia J. Kelly, Mark M. Meléndez, Dennis C. Mynarcik, Marie C. Gelato, Margaret A. McNurlan	149
7	Insulin-Like Growth Factor-I Provokes Functional Antagonism and Internalization of β1-Adrenergic Receptors 2007 ·Endocrinology ·Shai Gavi, Dezhong Yin, Elena Shumay, Hsien‐yu Wang, Craig C. Malbon	18
8	G-protein-coupled receptors and tyrosine kinases: crossroads in cell signaling and regulation 2006 ·Trends in Endocrinology and Metabolism ·Shai Gavi, Elena Shumay, Hsien‐yu Wang, Craig C. Malbon	76
9	Successful expression of a functional yeast G-protein-coupled receptor (Ste2) in mammalian cells 2005 ·Biochemical and Biophysical Research Communications ·Dezhong Yin, Shai Gavi, Elena Shumay, (unknown), James B. Konopka, Craig C. Malbon, Hsien‐yu Wang	16
10	Adverse Events Due to Discontinuations in Drug Use and Dose Changes in Patients Transferred Between Acute and Long-term Care Facilities 2004 ·Archives of Internal Medicine ·Kenneth S. Boockvar, Eliot Fishman, Corinne Kyriacou, (unknown), Shai Gavi, Tara Cortes	258
11	Probing Receptor Structure/Function with Chimeric G-Protein-Coupled Receptors 2004 ·Molecular Pharmacology ·Dezhong Yin, Shai Gavi, Hsien‐yu Wang, Craig C. Malbon	20
12	The 15-Amino Acid Motif of the C Terminus of the β2-Adrenergic Receptor Is Sufficient to Confer Insulin-Stimulated Counterregulation to the β1-Adrenergic Receptor 2004 ·Endocrinology ·Shai Gavi, Dezhong Yin, Elena Shumay, Hsien‐yu Wang, Craig C. Malbon	9
13	Trafficking of β2-adrenergic receptors: insulin and β-agonists regulate internalization by distinct cytoskeletal pathways 2004 ·Journal of Cell Science ·Elena Shumay, Shai Gavi, Hsien‐yu Wang, Craig C. Malbon	29

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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