M Beissert

593 citations
41 papers · 391 indexed · h-index 12

M Beissert

39 papers receiving 384 citations

Peers

M Beissert
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 109
  • Pulmonary and Respiratory Medicine 151
  • Surgery 159
  • Genetics 28
  • Cardiology and Cardiovascular Medicine 55
Replace J.P. Tasu with:
J.P. Tasu France
Atsuto Hiyama Japan
Fabio Maggi Italy
P Kullnig Austria
Fadi El‐Merhi Lebanon
Khadija Benali France
D Lardé France
H. Rigauts Belgium
Soon-Young Song South Korea
E Lubat United States
M Beissert relative to J.P. Tasu France J.P. Tasu's profile →
Citations per field
00.5×2.8×
J.P. Tasu · 1×
Citations per year

Countries citing papers authored by M Beissert

Since Specialization
Citations

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

Fields of papers citing papers by M Beissert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 201232
3 20101
4 201013
5 20091
6 200917
7 20081
8 20088
9 20072
10 20074
11 20063
12 20043
13 200366
14 200240
15 200110
16 20005
17 20009
18 200013
19 20007
20
[Abortion induction in early pregnancy using prostin F2 alpha and 15(S)-15-methyl PGF 2 alpha].
19780

About M Beissert

M Beissert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 41 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Cardiac Imaging and Diagnostics (5 papers), Advanced X-ray and CT Imaging (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Vascular Anomalies and Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (2 papers) and Head and Neck Anomalies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (109 citations), Pulmonary and Respiratory Medicine (151 citations), Surgery (159 citations), Genetics (28 citations) and Cardiology and Cardiovascular Medicine (55 citations). M Beissert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include A. Trusen, Kassa Darge, Markus Weininger, Georg Schultz, Dietbert Hahn, G. Wittenberg, David W. Hahn, M. Jenett, Meinrad Beer and H. Collmann. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Acta Radiologica, Journal of Ultrasound in Medicine, European Radiology and The Thoracic and Cardiovascular Surgeon.

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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