Michael T. Schweizer

7.2k citations
146 papers · 3.2k · h-index 33

Impact in

Papers in

Michael T. Schweizer

138 papers receiving 3.2k citations

Peers

Michael T. Schweizer
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 2.0k
  • Cancer Research 583
  • Oncology 839
  • Endocrinology, Diabetes and Metabolism 278
  • Radiology, Nuclear Medicine and Imaging 265
Replace Mauro Papotti with:
Mauro Papotti Italy
David Lorente Spain
Neda Kalhor United States
Andres Jan Schrader Germany
Harold Keer United States
Susan Feyerabend United Kingdom
Iacopo Petrini Italy
Vincenzo Damiano Italy
Genichiro Ishii Japan
Ivo Kocák Czechia
Michael T. Schweizer relative to Mauro Papotti Italy Mauro Papotti's profile →
Citations per field
00.5×1.6×
Mauro Papotti · 1×
Citations per year

Countries citing papers authored by Michael T. Schweizer

Since Specialization
Citations

This map shows the geographic impact of Michael T. Schweizer'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 T. Schweizer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Schweizer more than expected).

Fields of papers citing papers by Michael T. Schweizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015190
2 2014190
3 2017139
4 2017114
5 2019112
6 2014110
7 2018107
8 2020106
9 2020100
10 201885
11 201382
12 201480
13 201972
14 201968
15 202066
16 201666
17 202064
18 201563
19 201959
20 202059

About Michael T. Schweizer

Michael T. Schweizer is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 146 papers that have together received 3.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (89 papers), Radiopharmaceutical Chemistry and Applications (23 papers), Cancer Immunotherapy and Biomarkers (14 papers), Bladder and Urothelial Cancer Treatments (13 papers), Hormonal and reproductive studies (10 papers), Cancer, Lipids, and Metabolism (10 papers), Cancer Genomics and Diagnostics (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.0k citations), Cancer Research (583 citations), Oncology (839 citations), Endocrinology, Diabetes and Metabolism (278 citations) and Radiology, Nuclear Medicine and Imaging (265 citations). Michael T. Schweizer has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Emmanuel S. Antonarakis, Mario A. Eisenberger, Evan Y. Yu, Peter S. Nelson, Bruce Montgomery, Heather H. Cheng, Rosa Nadal, Colin C. Pritchard, Michael A. Carducci and Jonathan I. Epstein. Their work appears in journals such as Journal of Clinical Oncology, The Prostate, Clinical Cancer Research, JCO Precision Oncology and Annals of Oncology.

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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