Peter Ekman

119 papers receiving 3.9k citations

Peter Ekman's Hit Papers

Gene expression profiling identifies clinically relevant subtypes of prostate cancer 2004 · 1.0k citations
1.0k0+7+14Years since publication2505007501000

Peers

Peter Ekman
Comparison fields: 5 of 161
  • Urology 460
  • Cancer Research 636
  • Pulmonary and Respiratory Medicine 1.3k
  • Pathology and Forensic Medicine 390
  • Endocrinology, Diabetes and Metabolism 359
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Yu Shen United States
Richard L. Nelson United States
Yu‐Hui Chen United States
Ashraf Khan United States
Guohua Zeng China
Randall E. Millikan United States
Seungchan Kim United States
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Countries citing papers authored by Peter Ekman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Ekman, 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 Peter Ekman Line = papers co-authored together Peter Ekman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene expression profiling identifies clinically relevant subtypes of prostate cancer
Hit paper breakdown →
20041029
2 1991264
3 1992140
4 1991140
5 1995128
6 2004117
7 199388
8 199688
9 197988
10 201687
11 199881
12 197775
13
Deletion mapping of chromosome 8p in prostate cancer by fluorescence in situ hybridization.
199468
14 200567
15 199064
16 199964
17 200064
18 200862
19 198954
20 197950

About Peter Ekman

Peter Ekman is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Urology, Strategy and Management and Endocrinology, Diabetes and Metabolism, having authored 126 papers that have together received 4.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (34 papers), Urinary Bladder and Prostate Research (19 papers), Hormonal and reproductive studies (17 papers), Prostate Cancer Diagnosis and Treatment (16 papers), Cancer, Lipids, and Metabolism (10 papers), Innovation and Knowledge Management (9 papers), Bladder and Urothelial Cancer Treatments (8 papers) and Information Technology Governance and Strategy (7 papers). The work is most often cited by research in Urology (460 citations), Cancer Research (636 citations), Pulmonary and Respiratory Medicine (1.3k citations), Pathology and Forensic Medicine (390 citations) and Endocrinology, Diabetes and Metabolism (359 citations). Peter Ekman has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Ulf S.R. Bergerheim, Lars Egevad, Kazuto Kunimi, Chunde Li, V. Peter Collins, Steven Thompson, Michelle Ferrari, Jacques Lapointe, James D. Brooks and Angelo M. De Marzo. Their work appears in journals such as European Urology, The Prostate, The Journal of Urology, Journal of Business Research and Journal of Business and Industrial Marketing.

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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