Michael Røder

3.9k citations
66 papers · 3.0k · h-index 30

Impact in

Papers in

Michael Røder

66 papers receiving 2.9k citations

Peers

Michael Røder
Comparison fields: 5 of 155
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 426
  • Biomaterials 171
  • Surgery 501
  • Physiology 217
Replace C. Matthew Peterson with:
C. Matthew Peterson United States
Bogdan Catargi France
Paul Thompson United Kingdom
Jie Wang China
Serge Cremers United States
László Rosivall Hungary
Maria Stepanova United States
Yuji Tanaka Japan
Niels Fogh‐Andersen Denmark
Wen‐Jeng Wu Taiwan
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Citations per field
00.5×2.9×
C. Matthew Peterson · 1×
Citations per year

Countries citing papers authored by Michael Røder

Since Specialization
Citations

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

Fields of papers citing papers by Michael Røder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993480
2 2008272
3 1998183
4 1998145
5 1992129
6 199692
7 199389
8 199488
9 201776
10 200673
11 200972
12 199469
13 201461
14 199460
15 200059
16 200458
17
Highly sensitive enzyme immunoassay of proinsulin immunoreactivity with use of two monoclonal antibodies.
199357
18 199954
19 201953
20 199349

About Michael Røder

Michael Røder is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Biomedical Engineering, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (15 papers), Pancreatic function and diabetes (13 papers), Diabetes Management and Research (12 papers), Metabolism, Diabetes, and Cancer (8 papers), Diabetes Treatment and Management (7 papers), Diabetes Management and Education (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (426 citations), Biomaterials (171 citations), Surgery (501 citations) and Physiology (217 citations). Michael Røder has collaborated with scholars based in Denmark, Germany and Sweden. Frequent co-authors include Bo Dinesen, P N Jørgensen, Lennart Andersen, F. Reibke Poulsen, Silvio Dutz, R. Hergt, Steven E. Kahn, Robert S. Schwartz, Daniel Porte and S. G. Hartling. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Research and Clinical Practice, Diabetes Care, Journal of Clinical Investigation and Diabetic Medicine.

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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