Jonathan S. Kurman

98 total papers · 561 total citations
46 papers, 253 citations indexed

About

Jonathan S. Kurman is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Epidemiology. According to data from OpenAlex, Jonathan S. Kurman has authored 46 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 9 papers in Anesthesiology and Pain Medicine and 8 papers in Epidemiology. Recurrent topics in Jonathan S. Kurman's work include Pleural and Pulmonary Diseases (11 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Airway Management and Intubation Techniques (9 papers). Jonathan S. Kurman is often cited by papers focused on Pleural and Pulmonary Diseases (11 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Airway Management and Intubation Techniques (9 papers). Jonathan S. Kurman collaborates with scholars based in United States, United Kingdom and Germany. Jonathan S. Kurman's co-authors include Septimiu Murgu, Bryan S. Benn, D. Kyle Hogarth, Elise De, Harpreet Singh, Bilal Chughtai, Chinmay Jani, Mark K. Ferguson, Cameron G. Gmehlin and Nicholas J. Pastis and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Jonathan S. Kurman

43 papers receiving 249 citations

Author Peers

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

Author						Papers	Cites
Jonathan S. Kurman	148	49	42	33	21	46	253
Misbahuddin Khaja	103 0.7×	42 0.9×	56 1.3×	47 1.4×	16 0.8×	60	285
Chang Kok Hahm	89 0.6×	36 0.7×	140 3.3×	33 1.0×	11 0.5×	36	325
Geelhoed Gw	105 0.7×	47 1.0×	134 3.2×	56 1.7×	17 0.8×	38	323
Emanuel Palade	160 1.1×	32 0.7×	77 1.8×	20 0.6×	16 0.8×	32	278
Usha Dalal	82 0.6×	40 0.8×	155 3.7×	50 1.5×	14 0.7×	40	291
Miriam Patella	192 1.3×	52 1.1×	121 2.9×	31 0.9×	9 0.4×	47	330
Song‐I Lee	93 0.6×	55 1.1×	17 0.4×	54 1.6×	7 0.3×	41	235
Cameron Stock	139 0.9×	29 0.6×	107 2.5×	16 0.5×	15 0.7×	30	258
Yacine Tandjaoui-Lambiotte	101 0.7×	58 1.2×	20 0.5×	108 3.3×	19 0.9×	23	284
Jaime B. Hyman	79 0.5×	48 1.0×	63 1.5×	22 0.7×	73 3.5×	29	294

Countries citing papers authored by Jonathan S. Kurman

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan S. Kurman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Kurman. 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 Jonathan S. Kurman. The network helps show where Jonathan S. Kurman may publish in the future.

Co-authorship network of co-authors of Jonathan S. Kurman

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan S. Kurman. A scholar is included among the top collaborators of Jonathan S. Kurman 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 Jonathan S. Kurman. Jonathan S. Kurman 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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