Peter Ekman

5.1k citations
125 papers · 4.4k · 1 hit paper · h-index 33

Impact in

  • Urology top 0.5%
    • Urinary Bladder and Prostate Research
    • Cancer Genomics and Diagnostics

Papers in

Peter Ekman

118 papers receiving 4.1k citations

Peter Ekman's Hit Papers

Gene expression profiling identifies clinically relevant subtypes of prostate cancer 2004 · 1.1k citations
1.1k0+7+14Years since publication2505007501000

Peers

Peter Ekman
Comparison fields: 5 of 162
  • Urology 483
  • Cancer Research 648
  • Pulmonary and Respiratory Medicine 1.3k
  • Pathology and Forensic Medicine 391
  • Endocrinology, Diabetes and Metabolism 357
Replace Eva C. Guinan with:
Eva C. Guinan United States
Yu Shen United States
Brian Lee Foster United States
Ashraf Ali Khan United States
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Citations per field
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Citations per year

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 125 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 →
20041062
2 1991261
3 1991140
4 2001139
5 1992138
6 1995131
7 2004115
8 199389
9 197988
10 199687
11 201687
12 199881
13 197775
14 200569
15
Deletion mapping of chromosome 8p in prostate cancer by fluorescence in situ hybridization.
199466
16 200065
17 199064
18 200863
19 199961
20 198954

About Peter Ekman

Peter Ekman is a scholar working on Urology, Pulmonary and Respiratory Medicine, Strategy and Management, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 125 papers that have together received 4.4k 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 (483 citations), Cancer Research (648 citations), Pulmonary and Respiratory Medicine (1.3k citations), Pathology and Forensic Medicine (391 citations) and Endocrinology, Diabetes and Metabolism (357 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 M. Thompson, Michelle Ferrari, Matt van de Rijn, Eric Bair and Walter Rayford. Their work appears in journals such as European Urology, The Prostate, The Journal of Urology, Journal of Business and Industrial Marketing and Journal of Business Research.

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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