Jake A. Kushner

108 total papers · 8.8k total citations
86 papers, 6.7k citations indexed

About

Jake A. Kushner is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Jake A. Kushner has authored 86 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Surgery, 50 papers in Endocrinology, Diabetes and Metabolism and 41 papers in Genetics. Recurrent topics in Jake A. Kushner's work include Pancreatic function and diabetes (58 papers), Diabetes and associated disorders (37 papers) and Diabetes Management and Research (35 papers). Jake A. Kushner is often cited by papers focused on Pancreatic function and diabetes (58 papers), Diabetes and associated disorders (37 papers) and Diabetes Management and Research (35 papers). Jake A. Kushner collaborates with scholars based in United States, Germany and Canada. Jake A. Kushner's co-authors include Matthew M. Rankin, Monica Teta, Simon Y. Long, Morris F. White, Geneva M. Stein, Kevan C. Herold, Dorota B Pawlak, David S. Ludwig, Markus Schubert and Carrie L. Flint and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Jake A. Kushner

85 papers receiving 6.6k citations

Hit Papers

Effects of Sotagliflozin ... 2017 2026 2020 2023 2017 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
Jake A. Kushner 3.7k 2.8k 2.6k 2.4k 819 86 6.7k
Jean‐Christophe Jonas 4.2k 1.1× 2.0k 0.7× 2.9k 1.1× 1.9k 0.8× 907 1.1× 98 6.6k
Claes Hellerström 4.5k 1.2× 2.8k 1.0× 1.8k 0.7× 2.5k 1.1× 817 1.0× 186 6.4k
Albert Salehi 4.7k 1.3× 3.0k 1.1× 3.2k 1.2× 1.8k 0.8× 1.3k 1.5× 163 7.8k
Bernat Soria 4.0k 1.1× 1.7k 0.6× 3.8k 1.5× 1.9k 0.8× 776 0.9× 187 7.8k
Doris A. Stoffers 6.9k 1.9× 3.8k 1.4× 4.5k 1.8× 3.6k 1.5× 817 1.0× 98 10.4k
Maureen Gannon 5.3k 1.4× 2.1k 0.7× 3.8k 1.5× 3.0k 1.3× 782 1.0× 136 9.3k
Thomas L. Jetton 2.9k 0.8× 1.5k 0.6× 2.7k 1.1× 1.4k 0.6× 734 0.9× 63 5.2k
R Lupi 3.9k 1.1× 2.3k 0.8× 2.6k 1.0× 1.8k 0.7× 966 1.2× 85 6.3k
Raphaël Scharfmann 6.1k 1.6× 2.8k 1.0× 4.2k 1.6× 4.0k 1.7× 436 0.5× 176 9.3k
Kazuya Yamagata 3.2k 0.9× 1.6k 0.6× 2.7k 1.0× 2.6k 1.1× 777 0.9× 130 6.3k

Countries citing papers authored by Jake A. Kushner

Since Specialization
Citations

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

Fields of papers citing papers by Jake A. Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake A. Kushner. 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 Jake A. Kushner. The network helps show where Jake A. Kushner may publish in the future.

Co-authorship network of co-authors of Jake A. Kushner

This figure shows the co-authorship network connecting the top 25 collaborators of Jake A. Kushner. A scholar is included among the top collaborators of Jake A. Kushner 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 Jake A. Kushner. Jake A. Kushner 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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