Jan‐Michael Werner

1.4k citations
59 papers · 999 · h-index 19

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Radiopharmaceutical Chemistry and Applications

Papers in

Jan‐Michael Werner

50 papers receiving 995 citations

Peers

Jan‐Michael Werner
Comparison fields: 5 of 48
  • Genetics 498
  • Radiology, Nuclear Medicine and Imaging 423
  • Health Informatics 35
  • Neurology 40
  • Pulmonary and Respiratory Medicine 134
Replace Archya Dasgupta with:
Archya Dasgupta India
Garry S. Ceccon Germany
Emre Kocakavuk United States
Paul Y. Windisch Switzerland
Melissa A. Prah United States
Ramesh Paudyal United States
Madhava P. Aryal United States
Gilbert Youssef United States
Linbo Cai China
Bum‐Sup Jang South Korea
Jan‐Michael Werner relative to Archya Dasgupta India Archya Dasgupta's profile →
Citations per field
00.5×1.5×1.9×
Archya Dasgupta · 1×
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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 201895
3 202079
4 201950
5 201946
6 202041
7 202035
8 202034
9 201733
10 201832
11 202132
12 202431
13 200527
14 202223
15 202423
16 202022
17 202020
18 202520
19 202219
20 202219

About Jan‐Michael Werner

Jan‐Michael Werner is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research and Economics and Econometrics, having authored 59 papers that have together received 999 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (38 papers), Medical Imaging Techniques and Applications (20 papers), Brain Metastases and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Meningioma and schwannoma management (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Genetics (498 citations), Radiology, Nuclear Medicine and Imaging (423 citations), Health Informatics (35 citations), Neurology (40 citations) and Pulmonary and Respiratory Medicine (134 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 S. Ceccon, Nadim Jon Shah, Elena Katharina Bauer, Martin Köcher, Gabriele Stoffels and Caroline Tscherpel. Their work appears in journals such as Neuro-Oncology, Journal of Nuclear Medicine, Neuro-Oncology Advances, European Journal of Nuclear Medicine and Molecular Imaging 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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