Paul Kahn

2.5k citations
84 papers · 1.7k · h-index 24

Impact in

Papers in

Paul Kahn

77 papers receiving 1.4k citations

Peers

Paul Kahn
Comparison fields: 5 of 155
  • Human-Computer Interaction 103
  • Endocrinology, Diabetes and Metabolism 306
  • Pulmonary and Respiratory Medicine 520
  • Surgery 635
  • Cardiology and Cardiovascular Medicine 203
Replace David A. Siegel with:
David A. Siegel United States
Ronald C. Merrell United States
James R. Wallace Canada
Hak Jong Lee South Korea
Daniel Kim United States
Arnold D. Hill Ireland
Giuseppe Turchetti Italy
Robert S. Taylor United Kingdom
Francesco Porpiglia Italy
P.H. Reitsma Netherlands
Paul Kahn relative to David A. Siegel United States David A. Siegel's profile →
Citations per field
00.5×8.8×
David A. Siegel · 1×
Citations per year

Countries citing papers authored by Paul Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Paul Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Kahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Kahn Line = papers co-authored together Paul Kahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967189
2 1992103
3 201170
4 199466
5
Mechanism of localization of 99mTc-labeled pyrophosphate and tetracycline in infarcted myocardium.
197666
6 198561
7 196756
8 197148
9 197244
10 196843
11 199843
12 197642
13 196541
14 196740
15 196539
16 198439
17 197135
18 196935
19 196434
20 196933

About Paul Kahn

Paul Kahn is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Sociology and Political Science, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal and Vascular Pathologies (9 papers), Usability and User Interface Design (8 papers), Multimedia Communication and Technology (7 papers), Medical Imaging and Pathology Studies (6 papers), Hormonal Regulation and Hypertension (6 papers), Adrenal and Paraganglionic Tumors (6 papers), Renal cell carcinoma treatment (5 papers) and Pediatric Urology and Nephrology Studies (5 papers). The work is most often cited by research in Human-Computer Interaction (103 citations), Endocrinology, Diabetes and Metabolism (306 citations), Pulmonary and Respiratory Medicine (520 citations), Surgery (635 citations) and Cardiology and Cardiovascular Medicine (203 citations). Paul Kahn has collaborated with scholars based in United States, Russia and Mexico. Frequent co-authors include James C. Melby, Richard H. Egdahl, Richard F. Spark, Sidney L. Dale, Mrinal K. Dewanjee, James M. Nyce, Robert Paul, Allan D. Callow, James H. Coombs and Norman Meyrowitz. Their work appears in journals such as Radiology, American Journal of Roentgenology, The American Journal of Surgery, Communications of the ACM and Investigative Radiology.

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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