Jay Wohlgelernter

11 total papers · 578 total citations
9 papers, 329 citations indexed

About

Jay Wohlgelernter is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jay Wohlgelernter has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jay Wohlgelernter's work include Diabetes Management and Research (3 papers), Head and Neck Surgical Oncology (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). Jay Wohlgelernter is often cited by papers focused on Diabetes Management and Research (3 papers), Head and Neck Surgical Oncology (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). Jay Wohlgelernter collaborates with scholars based in Israel. Jay Wohlgelernter's co-authors include Menachem Gross, Ron Eliashar, Josef Elidan, Simona Cernea, Itamar Raz, Miriam Kidron, Jean‐Yves Sichel, Pankaj Modi, Abraham Goldfarb and Igor Resnick and has published in prestigious journals such as Diabetes Care, The Laryngoscope and Otolaryngology.

In The Last Decade

Jay Wohlgelernter

9 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Jay Wohlgelernter 202 97 69 66 61 9 329
Christopher Klem 194 1.0× 10 0.1× 83 1.2× 32 0.5× 33 0.5× 14 286
Kenneth C. Bentley 168 0.8× 38 0.4× 16 0.2× 20 0.3× 3 0.0× 11 339
Adnan Görgülü 132 0.7× 17 0.2× 21 0.3× 20 0.3× 12 0.2× 10 352
Sidney A. Hollin 72 0.4× 18 0.2× 25 0.4× 62 0.9× 34 0.6× 14 297
Ben Verbeeten 62 0.3× 20 0.2× 15 0.2× 90 1.4× 14 0.2× 8 312
Ying Wai Sia 75 0.4× 24 0.2× 21 0.3× 49 0.7× 9 0.1× 6 354
Aslı Batur Çalış 140 0.7× 3 0.0× 102 1.5× 53 0.8× 26 0.4× 13 265
R. P. Haran 119 0.6× 8 0.1× 18 0.3× 52 0.8× 29 0.5× 11 363
Ahmed A. Alhassani 29 0.1× 35 0.4× 6 0.1× 56 0.8× 22 0.4× 12 340
Deepak P. Chandrasekharan 79 0.4× 13 0.1× 28 0.4× 81 1.2× 1 0.0× 13 304

Countries citing papers authored by Jay Wohlgelernter

Since Specialization
Citations

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

Fields of papers citing papers by Jay Wohlgelernter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Wohlgelernter

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