M Weissel

1.8k citations
101 papers · 1.2k · h-index 19

Impact in

Papers in

M Weissel

95 papers receiving 1.1k citations

Peers

M Weissel
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 454
  • Cell Biology 120
  • Immunology 151
  • Pathology and Forensic Medicine 111
  • Cardiology and Cardiovascular Medicine 124
Replace Akio Kawakami with:
Akio Kawakami Japan
Atsumi Mori Japan
Patricia Usher United States
Γεώργιος Κούκος United States
Richard Pang China
Sebastiano Grasso Italy
Jun Lei United States
Andrea Pasini Italy
William G. Hammond United States
Eliezer J. Holtzman Israel
M Weissel relative to Akio Kawakami Japan Akio Kawakami's profile →
Citations per field
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Akio Kawakami · 1×
Citations per year

Countries citing papers authored by M Weissel

Since Specialization
Citations

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

Fields of papers citing papers by M Weissel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199297
2
Surgical treatment of distant metastases in differentiated thyroid cancer: indication and results.
198686
3 198076
4 200365
5 200360
6 200449
7 200837
8 199334
9 200530
10 198330
11 198825
12 198024
13 199523
14 200622
15 197622
16 199322
17 199321
18 197921
19 198819
20 199817

About M Weissel

M Weissel is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (25 papers), Thyroid Cancer Diagnosis and Treatment (12 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac Ischemia and Reperfusion (7 papers), Ophthalmology and Eye Disorders (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Cell Biology (120 citations), Immunology (151 citations), Pathology and Forensic Medicine (111 citations) and Cardiology and Cardiovascular Medicine (124 citations). M Weissel has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Wolfgang R. Mayr, Wolfgang Gärtner, R Höfer, W. Woloszczuk, Ludwig Wagner, Bruno Niederle, Heinz Gisslinger, L Havelec, Otto C. Burghuber and Werner Linkesch. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Naunyn-Schmiedeberg s Archives of Pharmacology and Clinical & Experimental Immunology.

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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