Lee R. Shekter

9 total papers · 683 total citations
6 papers, 576 citations indexed

About

Lee R. Shekter is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lee R. Shekter has authored 6 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Lee R. Shekter's work include Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Lee R. Shekter is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Lee R. Shekter collaborates with scholars based in United States, Russia and Israel. Lee R. Shekter's co-authors include Richard J. Miller, Heidi E. Hamm, Chii‐Shen Yang, Eitan Reuveny, Robert J. Lefkowitz, Hyunsu Bae, Lily Yeh Jan, Ramon Rosal, Yehia Daaka and Ravi Iyengar and has published in prestigious journals such as Science, Journal of Neuroscience and Journal of Neurochemistry.

In The Last Decade

Lee R. Shekter

6 papers receiving 558 citations

Hit Papers

Molecular Basis for Inter... 1998 2026 2007 2016 1998 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lee R. Shekter 502 301 62 59 41 6 576
Elisa Bofill-Cardona 503 1.0× 342 1.1× 60 1.0× 40 0.7× 49 1.2× 10 635
Barbara P. Hartz 299 0.6× 296 1.0× 80 1.3× 51 0.9× 49 1.2× 10 563
Sandra Peregrín 360 0.7× 236 0.8× 55 0.9× 51 0.9× 48 1.2× 6 535
Michael Kirmiz 346 0.7× 199 0.7× 115 1.9× 67 1.1× 51 1.2× 9 501
Debra A. Wollner 394 0.8× 267 0.9× 84 1.4× 46 0.8× 33 0.8× 13 540
Anju A. Roy 545 1.1× 146 0.5× 59 1.0× 87 1.5× 46 1.1× 8 636
S.T. Wong 377 0.8× 273 0.9× 46 0.7× 68 1.2× 51 1.2× 9 513
Dagoberto Grenet 516 1.0× 174 0.6× 63 1.0× 112 1.9× 53 1.3× 11 605
Elizabeth McHugh Sutkowski 452 0.9× 282 0.9× 34 0.5× 52 0.9× 101 2.5× 9 648
Jinliang Sui 489 1.0× 247 0.8× 35 0.6× 170 2.9× 19 0.5× 8 582

Countries citing papers authored by Lee R. Shekter

Since Specialization
Citations

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

Fields of papers citing papers by Lee R. Shekter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee R. Shekter. 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 Lee R. Shekter. The network helps show where Lee R. Shekter may publish in the future.

Co-authorship network of co-authors of Lee R. Shekter

This figure shows the co-authorship network connecting the top 25 collaborators of Lee R. Shekter. A scholar is included among the top collaborators of Lee R. Shekter 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 Lee R. Shekter. Lee R. Shekter 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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