M. Keßler

1.0k citations
36 papers · 696 · h-index 11

Impact in

    • Sports injuries and prevention
    • Tendon Structure and Treatment
  • Surgery top 10%
    • Knee injuries and reconstruction techniques
    • Total Knee Arthroplasty Outcomes

Papers in

M. Keßler

33 papers receiving 662 citations

Peers

M. Keßler
Comparison fields: 5 of 64
  • Orthopedics and Sports Medicine 234
  • Surgery 476
  • Pathology and Forensic Medicine 84
  • Rheumatology 64
  • Hepatology 33
Replace Hee Jin Park with:
Hee Jin Park South Korea
C A Britton United States
Onur Tutar Türkiye
Yutaka Araki Japan
Abdüssamet Batur Türkiye
M.W.J. Davie United Kingdom
Nicolae Bolog Switzerland
Dan Vasilescu Romania
Dana Dumitriu Belgium
Yuya Itoh Japan
M. Keßler relative to Hee Jin Park South Korea Hee Jin Park's profile →
Citations per field
00.5×1.5×
Hee Jin Park · 1×
Citations per year

Countries citing papers authored by M. Keßler

Since Specialization
Citations

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

Fields of papers citing papers by M. Keßler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008302
2 200366
3 200655
4 200136
5 200032
6 200031
7 199423
8 200116
9 199713
10 200311
11 199811
12 199710
13 19979
14 20099
15 20048
16 19637
17 19986
18 20096
19 20045
20 20055

About M. Keßler

M. Keßler is a scholar working on Surgery, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 36 papers that have together received 696 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (9 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Knee injuries and reconstruction techniques (4 papers), Advanced MRI Techniques and Applications (3 papers), MRI in cancer diagnosis (3 papers), Breast Cancer Treatment Studies (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (234 citations), Surgery (476 citations), Pathology and Forensic Medicine (84 citations), Rheumatology (64 citations) and Hepatology (33 citations). M. Keßler has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Markus S. Kuster, G. Stutz, Henrik Behrend, Samuel Henz, Maximilian F. Reiser, H. Sittek, Ambros J. Beer, Andreas Burkart, Andreas B. Imhoff and Vladimir Martinek. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Der Unfallchirurg, European Radiology, European Journal of Radiology and Langenbeck s Archives of Surgery.

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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