M. Schott

298 papers receiving 4.6k citations

Peers

M. Schott
Comparison fields: 5 of 147
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Oncology 815
  • Immunology 569
  • Pathology and Forensic Medicine 367
  • Epidemiology 691
Replace Geoffrey J. Gottlieb with:
Geoffrey J. Gottlieb United States
A. Benedetti Italy
Peter Söderkvist Sweden
Katsuhiko Yoshimoto Japan
Seiji Sato Japan
Ana Luiza Maia Brazil
Paul Van Hummelen Belgium
Roberto González‐Amaro Mexico
Monique Talbot France
Attila Patócs Hungary
M. Schott relative to Geoffrey J. Gottlieb United States Geoffrey J. Gottlieb's profile →
Citations per field
00.5×5.3×
Geoffrey J. Gottlieb · 1×
Citations per year

Countries citing papers authored by M. Schott

Since Specialization
Citations

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

Fields of papers citing papers by M. Schott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 317 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011253
2 2021129
3 2014115
4 200890
5 200187
6 201482
7 201682
8 200781
9 200779
10 200774
11 200768
12 201067
13 201663
14 200061
15 201560
16 201159
17 200959
18 201258
19 200858
20 200757

About M. Schott

M. Schott is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Surgery and Immunology, having authored 317 papers that have together received 4.8k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (77 papers), Thyroid Disorders and Treatments (65 papers), Neuroendocrine Tumor Research Advances (31 papers), Immunotherapy and Immune Responses (25 papers), Diabetes and associated disorders (18 papers), Adrenal and Paraganglionic Tumors (18 papers), Hormonal Regulation and Hypertension (18 papers) and Ophthalmology and Eye Disorders (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Oncology (815 citations), Immunology (569 citations), Pathology and Forensic Medicine (367 citations) and Epidemiology (691 citations). M. Schott has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Werner A. Scherbaum, Sven Schinner, Jochen Seißler, Margret Ehlers, Joachim Feldkamp, Claudia Papewalis, Holger S. Willenberg, Holger S. Willenberg, Wolfram Trudo Knoefel and Stephanie Allelein. Their work appears in journals such as Hormone and Metabolic Research, The Journal of Clinical Endocrinology & Metabolism, Experimental and Clinical Endocrinology & Diabetes, European Journal of Endocrinology and Molecular and Cellular Endocrinology.

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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