Jens Koopmann

2.6k citations
15 papers · 1.9k indexed · h-index 14

Impact in

Papers in

    • Bone and Dental Protein Studies 3
    • GDF15 and Related Biomarkers 2
    • Pancreatic and Hepatic Oncology Research 6
    • Peptidase Inhibition and Analysis 2

Jens Koopmann

15 papers receiving 1.9k citations

Peers

Jens Koopmann
Comparison fields: 5 of 81
  • Genetics 535
  • Cancer Research 494
  • Rheumatology 401
  • Oncology 718
  • Spectroscopy 194
Replace Inge H. Briaire‐de Bruijn with:
Inge H. Briaire‐de Bruijn Netherlands
Mikhail L. Gishizky United States
Arne Östman Sweden
Karin D. Berg United States
Griffith Harsh United States
Fréderic Fina France
Sabrina Rossi Italy
Kazuhiko Mishima Japan
Angela Platt‐Higgins United Kingdom
Juan A. Rey Spain
Jens Koopmann relative to Inge H. Briaire‐de Bruijn Netherlands Inge H. Briaire‐de Bruijn's profile →
Citations per field
00.5×4.7×
Inge H. Briaire‐de Bruijn · 1×
Citations per year

Countries citing papers authored by Jens Koopmann

Since Specialization
Citations

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

Fields of papers citing papers by Jens Koopmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201837
2 20101
3 2006166
4 200558
5 200483
6 200432
7 2004226
8 2004226
9 2004159
10 2003232
11 200315
12 1997203
13
Association of loss of heterozygosity on chromosome 17p with high platelet-derived growth factor alpha receptor expression in human malignant gliomas.
1996156
14 1995298
15 199415

About Jens Koopmann

Jens Koopmann is a scholar working on Rheumatology, Oncology, Developmental Neuroscience, Genetics and Immunology and Allergy, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Bone and Dental Protein Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Glioma Diagnosis and Treatment (2 papers), GDF15 and Related Biomarkers (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Genetics (535 citations), Cancer Research (494 citations), Rheumatology (401 citations), Oncology (718 citations) and Spectroscopy (194 citations). Jens Koopmann has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Michael Goggins, Charles J. Yeo, Ralph H. Hruban, David Maintz, Otmar D. Wiestler, David N. Louis, Andreas von Deimling, Norihiro Sato, Johannes Schramm and Noriyoshi Fukushima. Their work appears in journals such as Clinical Cancer Research, Journal of Neuropathology & Experimental Neurology, Cancer, Cancer Biology & Therapy and Modern Pathology.

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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