M. Meier-Meitinger

27 papers receiving 417 citations

Peers

M. Meier-Meitinger
Comparison fields: 5 of 57
  • Cancer Research 142
  • Radiology, Nuclear Medicine and Imaging 161
  • Pulmonary and Respiratory Medicine 170
  • Pathology and Forensic Medicine 84
  • Artificial Intelligence 137
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Victor J. Pizzitola United States
Renee W. Pinsky United States
Aba Harcos Germany
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Vignesh A. Arasu United States
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M. Meier-Meitinger relative to Victor J. Pizzitola United States Victor J. Pizzitola's profile →
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Citations per year

Countries citing papers authored by M. Meier-Meitinger

Since Specialization
Citations

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

Fields of papers citing papers by M. Meier-Meitinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201259
2 201240
3 201034
4 201227
5 201227
6 200226
7 201022
8 201122
9 200821
10 201119
11 201616
12 200313
13 201312
14 201311
15 201611
16 201210
17 20119
18 20119
19 20129
20 20138

About M. Meier-Meitinger

M. Meier-Meitinger is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Cancer Research and Pathology and Forensic Medicine, having authored 28 papers that have together received 432 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (12 papers), AI in cancer detection (11 papers), Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (7 papers), Breast Lesions and Carcinomas (7 papers), Ultrasound Imaging and Elastography (4 papers), Global Cancer Incidence and Screening (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Cancer Research (142 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Pulmonary and Respiratory Medicine (170 citations), Pathology and Forensic Medicine (84 citations) and Artificial Intelligence (137 citations). M. Meier-Meitinger has collaborated with scholars based in Germany, United States and Belarus. Frequent co-authors include Michael Uder, Peter A. Fasching, Boris Adamietz, Rüdiger Schulz‐Wendtland, Lothar Häberle, Matthias W. Beckmann, Sebastian M. Jud, Katharina Heusinger, Michael P. Lux and Christian R. Loehberg. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, International Journal of Cancer, European Journal of Cancer Prevention, Academic Radiology and Breast 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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