Benjamin Koopmansch

501 citations
8 papers · 297 · h-index 6

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies

Papers in

    • Colorectal Cancer Surgical Treatments 1
    • Cancer-related Molecular Pathways 1

Benjamin Koopmansch

8 papers receiving 291 citations

Peers

Benjamin Koopmansch
Comparison fields: 5 of 39
  • Radiology, Nuclear Medicine and Imaging 174
  • Oncology 145
  • Cancer Research 36
  • Pulmonary and Respiratory Medicine 77
  • Molecular Biology 71
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Citations per year

Countries citing papers authored by Benjamin Koopmansch

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Koopmansch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2017131
2 200963
3 201651
4 200924
5 201318
6 20238
7
[PHARMACOGENOMICS AND PERSONALIZED MEDICINE: TOWARDS A SYSTEMATIC GENOMIC SCREENING?].
20151
8
[Erdheim-Chester disease : a case report].
20201

About Benjamin Koopmansch

Benjamin Koopmansch is a scholar working on Oncology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 8 papers that have together received 297 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Colorectal Cancer Surgical Treatments (1 paper), Kruppel-like factors research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Prostate Cancer Treatment and Research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Medical Imaging Techniques and Applications (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (174 citations), Oncology (145 citations), Cancer Research (36 citations), Pulmonary and Respiratory Medicine (77 citations) and Molecular Biology (71 citations). Benjamin Koopmansch has collaborated with scholars based in Belgium, France and Vietnam. Frequent co-authors include Rosita Winkler, Marc Polus, Jean‐Christophe Pignon, Pierre Lovinfosse, Grégory Nolens, Frédéric Lambert, Dimitris Visvikis, Mathieu Hatt, Laurence Seidel and Adelin Albert. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, British Journal of Radiology, Cells, Biochemical and Biophysical Research Communications and Cancer 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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