Jan‐Michael Werner

1.4k citations
60 papers · 808 · h-index 17

Impact in

Papers in

Jan‐Michael Werner

51 papers receiving 807 citations

Peers

Jan‐Michael Werner
Comparison fields: 5 of 59
  • Genetics 437
  • Radiology, Nuclear Medicine and Imaging 312
  • Health Informatics 16
  • Cancer Research 77
  • Pulmonary and Respiratory Medicine 153
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Islam Hassan United States
Silvia Chiesa Italy
Arian Lasocki Australia
Ugonma Chukwueke United States
Maarten M.J. Wijnenga Netherlands
Zhiyan Sun China
Sohi Bae South Korea
Marta Peñas-Prado United States
Changcun Pan China
Garry Ceccon Germany
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Citations per year

Countries citing papers authored by Jan‐Michael Werner

Since Specialization
Citations

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

Fields of papers citing papers by Jan‐Michael Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan‐Michael Werner. 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 Jan‐Michael Werner. The network helps show where Jan‐Michael Werner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 201880
3 202067
4 201942
5 201942
6 201732
7 201831
8 202030
9 202028
10 202127
11 200526
12 202425
13 200321
14 202220
15 202018
16 202217
17 202017
18 201916
19 202415
20 202213

About Jan‐Michael Werner

Jan‐Michael Werner is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Neurology and Oncology, having authored 60 papers that have together received 808 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (35 papers), Medical Imaging Techniques and Applications (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Brain Metastases and Treatment (7 papers), Meningioma and schwannoma management (6 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Genetics (437 citations), Radiology, Nuclear Medicine and Imaging (312 citations), Health Informatics (16 citations), Cancer Research (77 citations) and Pulmonary and Respiratory Medicine (153 citations). Jan‐Michael Werner has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Norbert Galldiks, Gereon R. Fink, Karl‐Josef Langen, Philipp Lohmann, Garry Ceccon, N. Jon Shah, Elena K. Bauer, Martin Köcher, Gabriele Stoffels and Pantelis Stavrinou. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine and Cancers.

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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