Pamela Kushner

52 total papers · 863 total citations
36 papers, 470 citations indexed

About

Pamela Kushner is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology. According to data from OpenAlex, Pamela Kushner has authored 36 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 9 papers in Nephrology. Recurrent topics in Pamela Kushner's work include Diabetes Treatment and Management (15 papers), Diabetes Management and Research (12 papers) and Chronic Kidney Disease and Diabetes (8 papers). Pamela Kushner is often cited by papers focused on Diabetes Treatment and Management (15 papers), Diabetes Management and Research (12 papers) and Chronic Kidney Disease and Diabetes (8 papers). Pamela Kushner collaborates with scholars based in United States, Canada and United Kingdom. Pamela Kushner's co-authors include Charles F. Shaefer, Richard Aguilar, Priscilla Hollander, Salvatore Barone, Navdeep Tangri, Emily Peach, Hungta Chen, Eric Wittbrodt, Krister Järbrink and Matthew Arnold and has published in prestigious journals such as Diabetes, Journal of the American Society of Nephrology and European Heart Journal.

In The Last Decade

Pamela Kushner

30 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Pamela Kushner 248 86 85 68 58 36 470
Sunil Nair 275 1.1× 77 0.9× 149 1.8× 121 1.8× 33 0.6× 20 480
Shinichi Antoku 204 0.8× 168 2.0× 98 1.2× 93 1.4× 92 1.6× 32 443
Su Shen 201 0.8× 28 0.3× 112 1.3× 98 1.4× 43 0.7× 23 427
Vikas S. Sridhar 264 1.1× 80 0.9× 154 1.8× 96 1.4× 56 1.0× 55 458
Naveed Younis 164 0.7× 46 0.5× 101 1.2× 51 0.8× 75 1.3× 19 458
J.F. Ascaso 250 1.0× 33 0.4× 174 2.0× 94 1.4× 93 1.6× 35 539
Kevin Yau 154 0.6× 97 1.1× 149 1.8× 111 1.6× 59 1.0× 32 538
Nisbet Yılmaz 149 0.6× 27 0.3× 63 0.7× 88 1.3× 49 0.8× 29 483
Kaushik Pandit 284 1.1× 36 0.4× 100 1.2× 94 1.4× 73 1.3× 40 549
Jamal Rahmani 101 0.4× 74 0.9× 73 0.9× 113 1.7× 28 0.5× 28 525

Countries citing papers authored by Pamela Kushner

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Kushner

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