Kim Petterson

518 total citations
8 papers, 423 citations indexed

About

Kim Petterson is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Kim Petterson has authored 8 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Kim Petterson's work include Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Xenotransplantation and immune response (2 papers). Kim Petterson is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Xenotransplantation and immune response (2 papers). Kim Petterson collaborates with scholars based in Netherlands, Finland and United States. Kim Petterson's co-authors include George G. Klee, Hans Lilja, Barry L. Dowell, Ulf‐Håkan Stenman, Steven J. Jacobsen, Timo Lövgren, Joseph E. Oesterling, Timo Piironen, Per-Anders Abrahamsson and Ries Kranse and has published in prestigious journals such as European Heart Journal, The Journal of Urology and BMC Cancer.

In The Last Decade

Kim Petterson

7 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Petterson Netherlands 4 390 153 53 47 45 8 423
GRANT E. MEYER United States 7 306 0.8× 104 0.7× 36 0.7× 39 0.8× 88 2.0× 10 356
Štěpán Veselý Czechia 12 177 0.5× 81 0.5× 31 0.6× 105 2.2× 63 1.4× 36 294
Vahan Kassabian United States 6 501 1.3× 156 1.0× 93 1.8× 91 1.9× 28 0.6× 16 580
Sameh Hijazi Germany 6 309 0.8× 82 0.5× 28 0.5× 30 0.6× 23 0.5× 16 364
Yeşim Sağlıcan Türkiye 9 200 0.5× 69 0.5× 44 0.8× 17 0.4× 31 0.7× 45 288
Marie Desaulniers Canada 5 295 0.8× 54 0.4× 55 1.0× 21 0.4× 116 2.6× 6 399
François‐Xavier Nouhaud France 11 282 0.7× 58 0.4× 110 2.1× 19 0.4× 81 1.8× 36 362
Tongliang Wang China 3 190 0.5× 48 0.3× 19 0.4× 12 0.3× 65 1.4× 6 269
A. Leventis United States 5 321 0.8× 85 0.6× 46 0.9× 30 0.6× 30 0.7× 10 352
Flip H. Jansen Netherlands 7 247 0.6× 46 0.3× 49 0.9× 19 0.4× 118 2.6× 9 398

Countries citing papers authored by Kim Petterson

Since Specialization
Citations

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

Fields of papers citing papers by Kim Petterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Petterson

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

All Works

8 of 8 papers shown
1.
Salminen, Seppo, et al.. (2024). Identification of stemness-related glycosylation changes in head and neck squamous cell carcinoma. BMC Cancer. 24(1). 443–443.
2.
Vries, Margreet R. de, et al.. (2020). IgG1 phosphorylcholine ameliorates plaque stability via reduced intraplaque angiogenesis and intraplaque haemorrhage in a murine atherosclerosis model. European Heart Journal. 41(Supplement_2). 1 indexed citations
3.
Petterson, Kim, et al.. (2001). Reproductive Hormones, Cancers, and Conditions in Relation to a Common Genetic Variant of Luteinizing Hormone. Obstetrical & Gynecological Survey. 56(3). 154–155. 1 indexed citations
4.
Bangma, Chris H., John Rietbergen, Ries Kranse, et al.. (1997). The Free-To-Total Prostate Specific Antigen Ratio Improves the Specificity of Prostate Specific Antigen in Screening for Prostate Cancer in the General Population. The Journal of Urology. 157(6). 2191–2196. 65 indexed citations
5.
Rietbergen, John, et al.. (1997). The free-to-total prostate specific antigen ratio improves the specificity of prostate specific antigen in screening for prostate cancer in the general population.. PubMed. 157(6). 2191–6. 83 indexed citations
6.
Bangma, Chris H., John Rietbergen, Ries Kranse, et al.. (1997). The Free-To-Total Prostate Specific Antigen Ratio Improves the Specificity of Prostate Specific Antigen in Screening for Prostate Cancer in the General Population. The Journal of Urology. 2191–2196. 2 indexed citations
7.
Oesterling, Joseph E., Steven J. Jacobsen, George G. Klee, et al.. (1995). Free, Complexed and Total Serum Prostate Specific Antigen: The Establishment of Appropriate Reference Ranges for their Concentrations and Ratios. The Journal of Urology. 154(3). 1090–1095. 265 indexed citations
8.
Oesterling, Joseph E., Steven J. Jacobsen, George G. Klee, et al.. (1995). Free, Complexed and Total Serum Prostate Specific Antigen. The Journal of Urology. 1090–1095. 6 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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