Michael Mix

4.3k citations
126 papers · 2.8k · h-index 30

Impact in

Papers in

Michael Mix

121 papers receiving 2.8k citations

Peers

Michael Mix
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Pulmonary and Respiratory Medicine 990
  • Obstetrics and Gynecology 191
  • Radiation 238
  • Otorhinolaryngology 91
Replace T.A. DeWees with:
T.A. DeWees United States
Catharina M.L. Zegers Netherlands
David Binns Australia
Elisabeth Kjellén Sweden
Ting-Yim Lee Canada
Masahiko Koizumi Japan
Stanley Benedict United States
Helmut Dittmann Germany
Stephanie Tanadini‐Lang Switzerland
Edwin F. Donnelly United States
Michael Mix relative to T.A. DeWees United States T.A. DeWees's profile →
Citations per field
00.5×1.5×1.9×
T.A. DeWees · 1×
Citations per year

Countries citing papers authored by Michael Mix

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001255
2 2004156
3 2016123
4 2005115
5 201996
6 200195
7 201683
8 201567
9 200066
10 200465
11 201362
12 201260
13 200359
14 200450
15 201650
16 202145
17 202043
18 199741
19 201935
20 201734

About Michael Mix

Michael Mix is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research, Biomedical Engineering and Radiation, having authored 126 papers that have together received 2.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (39 papers), Prostate Cancer Treatment and Research (23 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Cancer, Hypoxia, and Metabolism (13 papers), Advanced X-ray and CT Imaging (12 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Glioma Diagnosis and Treatment (9 papers) and Radiopharmaceutical Chemistry and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Pulmonary and Respiratory Medicine (990 citations), Obstetrics and Gynecology (191 citations), Radiation (238 citations) and Otorhinolaryngology (91 citations). Michael Mix has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Anca‐Ligia Grosu, Egbert Nitzsche, Philipp T. Meyer, Ingo Brink, Michaël Reinhardt, Wolfgang Weber, Constantinos Zamboglou, Ernst Moser, Cordula A. Jilg and Martin Werner. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology and Theranostics.

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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