Peter Ekman

5.1k total citations · 1 hit paper
115 papers, 3.9k citations indexed

About

Peter Ekman is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Urology. According to data from OpenAlex, Peter Ekman has authored 115 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pulmonary and Respiratory Medicine, 28 papers in Molecular Biology and 21 papers in Urology. Recurrent topics in Peter Ekman's work include Prostate Cancer Treatment and Research (38 papers), Hormonal and reproductive studies (20 papers) and Urinary Bladder and Prostate Research (20 papers). Peter Ekman is often cited by papers focused on Prostate Cancer Treatment and Research (38 papers), Hormonal and reproductive studies (20 papers) and Urinary Bladder and Prostate Research (20 papers). Peter Ekman collaborates with scholars based in Sweden, United States and Japan. Peter Ekman's co-authors include Ulf S.R. Bergerheim, Lars Egevad, Kazuto Kunimi, Chunde Li, V. Peter Collins, Steven Thompson, Jacques Lapointe, Patrick O. Brown, Julian P. T. Higgins and David Botstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Peter Ekman

112 papers receiving 3.8k citations

Hit Papers

Gene expression profiling identifies clinically relevant ... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Ekman Sweden 33 1.6k 1.5k 726 514 494 115 3.9k
Michelle Ferrari United States 16 943 0.6× 1.3k 0.9× 452 0.6× 255 0.5× 167 0.3× 37 2.2k
Seungchan Kim United States 29 3.4k 2.1× 608 0.4× 821 1.1× 610 1.2× 116 0.2× 96 5.4k
Michael J. Becich United States 34 2.1k 1.3× 1.3k 0.9× 835 1.2× 601 1.2× 29 0.1× 103 4.1k
Steven Seelig United States 27 1.4k 0.9× 207 0.1× 452 0.6× 848 1.6× 90 0.2× 69 3.4k
Philip C. Mack United States 44 2.9k 1.8× 3.5k 2.3× 1.9k 2.6× 3.8k 7.4× 63 0.1× 234 6.8k
Dhananjay Chitale United States 32 2.1k 1.3× 2.9k 2.0× 2.0k 2.7× 2.3k 4.5× 19 0.0× 106 5.4k
Sherri R. Davies United States 19 3.0k 1.9× 1.0k 0.7× 4.0k 5.5× 3.3k 6.4× 62 0.1× 36 6.9k
Syed K. Mohsin United States 33 2.0k 1.2× 540 0.4× 1.9k 2.7× 2.4k 4.6× 24 0.0× 43 4.5k
Itzhak D. Goldberg United States 42 2.8k 1.7× 360 0.2× 1.2k 1.7× 1.4k 2.8× 24 0.0× 112 5.3k
Ashraf Khan United States 36 955 0.6× 488 0.3× 569 0.8× 847 1.6× 12 0.0× 141 4.2k

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-authorship network of co-authors of Peter Ekman

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Ekman. A scholar is included among the top collaborators of Peter Ekman 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 Peter Ekman. Peter Ekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ekman, Peter, Randle D. Raggio, & Steve Thompson. (2015). The Green Fingerprint: Decreasing Energy Consumption with Decision Support Systems. Journal of the Association for Information Systems. 3 indexed citations
2.
Valdman, Alexander, et al.. (2006). Cytological features of prostatic intraepithelial neoplasia. Diagnostic Cytopathology. 34(5). 317–322. 3 indexed citations
3.
Matsuyama, Hideyasu, Yi Pan, Satoru Yoshihiro, et al.. (2003). The Role of Chromosome 8p22 Deletion for Predicting Disease Progression and Pathological Staging in Prostate Cancer. Aktuelle Urologie. 34(4). 247–249. 9 indexed citations
4.
Ekman, Peter, et al.. (2000). Optimizing the therapeutic approach of transurethral alprostadil. British Journal of Urology. 86(1). 68–74. 14 indexed citations
5.
Ekman, Peter. (1999). Genetic and Environmental Factors in Prostate Cancer Genesis:Identifying High-Risk Cohorts. European Urology. 35(5-6). 362–369. 59 indexed citations
6.
Ekman, Peter, et al.. (1999). Links between genetic and environmental factors and prostate cancer risk. The Prostate. 39(4). 262–268. 32 indexed citations
7.
Ekman, Peter, et al.. (1998). Maximum Efficacy of Finasteride Is Obtained within 6 Months and Maintained over 6 Years. European Urology. 33(3). 312–317. 32 indexed citations
8.
Pan, Yi, Hideyasu Matsuyama, Naining Wang, et al.. (1998). Chromosome 16q24 deletion and decreased E-cadherin expression: Possible association with metastatic potential in prostate cancer. The Prostate. 36(1). 31–38. 26 indexed citations
9.
Andersen, Jay, Peter Ekman, Hans Wolf, et al.. (1995). Can finasteride reverse the progress of benign prostatic hyperplasia? a two-year placebo-controlled study. Urology. 46(5). 631–637. 121 indexed citations
10.
Ekman, Peter. (1994). Pharmacological treatment of benign prostatic hyperplasia with finasteride: a clinical review.. PubMed. 47(9). 883–8. 1 indexed citations
11.
Lundeberg, Thomas, et al.. (1993). Epinephrine Reduces the Severity of Catheter‐induced Urethral Inflammation by Action at the α 2 ‐adrenoceptors. British Journal of Urology. 72(3). 349–352. 3 indexed citations
12.
Lundeberg, Thomas, et al.. (1993). Interstitial Cystitis: Correlation with Nerve Fibres, Mast Cells and Histamine. British Journal of Urology. 71(4). 427–429. 83 indexed citations
13.
Andersson, L., et al.. (1991). Steroid receptor profile and receptor stability in subfractions of human prostatic tissues. Urological Research. 19(6). 327–331. 11 indexed citations
14.
Bergerheim, Ulf S.R., V. Peter Collins, Peter Ekman, & Kazuto Kunimi. (1991). Recessive Genetic Mechanisms in the Oncogenesis of Prostatic Carcinoma. Scandinavian Journal of Urology and Nephrology. 25(sup138). 93–96. 9 indexed citations
15.
Ekman, Peter, et al.. (1991). Steroid receptor profile in human prostate cancer metastases as compared with primary prostatic carcinoma. The Prostate. 18(2). 147–153. 23 indexed citations
16.
Kunimi, Kazuto, et al.. (1991). Allelotyping of human prostatic adenocarcinoma. Genomics. 11(3). 530–536. 133 indexed citations
17.
Liedberg, H., Peter Ekman, & Thomas Lundeberg. (1990). Pseudomonas aeruginosa: Adherence to and growth on different urinary catheter coatings. International Urology and Nephrology. 22(5). 487–492. 17 indexed citations
18.
Liedberg, H., Thomas Lundeberg, & Peter Ekman. (1990). Refinements in the Coating of Urethral Catheters Reduces theIncidence of Catheter-Associated Bacteriuria. European Urology. 17(3). 236–240. 59 indexed citations
19.
Liedberg, H., et al.. (1990). Influence of the nervous system on experimentally induced urethral inflammation. Neuroscience Letters. 115(2-3). 183–188. 22 indexed citations
20.
Ekman, Peter, et al.. (1990). Tumor Markers in Human Prostatic Carcinoma. European Urology. 17(1). 7–11. 3 indexed citations

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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