Peter Ekman

5.1k citations
107 papers · 4.2k · 1 hit paper · h-index 33

Impact in

Papers in

Peter Ekman

105 papers receiving 4k 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 publication2505007501k

Peers

Peter Ekman
Comparison fields: 5 of 143
  • Urology 490
  • Pulmonary and Respiratory Medicine 1.7k
  • Cancer Research 237
  • Oncology 256
  • Molecular Biology 706
Replace Thomas C. Case with:
Thomas C. Case United States
Ming‐Rong Wang China
Francesc Gessé Solé Spain
Yiping Huang China
John Anthony Lust United States
Xiaolin Sun China
Yinghui Zhou China
Mohit Butaney United States
Андреас Каппелер Switzerland
Terence Kealey United Kingdom
Peter Ekman relative to Thomas C. Case United States Thomas C. Case's profile →
Citations per field
00.5×5×10×12.9×
Thomas C. Case · 1×
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 107 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 →
20041059
2 1991260
3 1991138
4 2001138
5 1992135
6 1995132
7 2004115
8 197988
9 201688
10 199383
11 199683
12 199880
13 197775
14 200569
15
Deletion mapping of chromosome 8p in prostate cancer by fluorescence in situ hybridization.
199466
16 199064
17 200064
18 200864
19 199961
20 198954

About Peter Ekman

Peter Ekman is a scholar working on Pulmonary and Respiratory Medicine, Urology, Management Information Systems, Strategy and Management and Surgery, having authored 107 papers that have together received 4.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (36 papers), Prostate Cancer Diagnosis and Treatment (24 papers), Urinary Bladder and Prostate Research (21 papers), Bladder and Urothelial Cancer Treatments (9 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), ERP Systems Implementation and Impact (5 papers), International Business and FDI (4 papers) and Information Technology Governance and Strategy (3 papers). The work is most often cited by research in Urology (490 citations), Pulmonary and Respiratory Medicine (1.7k citations), Cancer Research (237 citations), Oncology (256 citations) and Molecular Biology (706 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, David Botstein, James D. Brooks, Kelli D. Montgomery, Matt van de Rijn and Eric Bair. Their work appears in journals such as European Urology, The Prostate, The Journal of Urology, Journal of Business and Industrial Marketing and Business Process Management Journal.

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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