Roland Därr

20 papers receiving 448 citations

Peers

Roland Därr
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 218
  • Cancer Research 147
  • Surgery 362
  • Neurology 41
  • Bioengineering 7
Replace Nana Esi Kittah with:
Nana Esi Kittah United States
Zdeněk Musil Czechia
Thamara E. Osinga Netherlands
M. Giovagnetti Italy
Edward Buitenwerf Netherlands
Henri Timmers United States
Nada El Ghorayeb Canada
Jan Schovánek Czechia
Somya Verma United States
Nicola Tufton United Kingdom
Roland Därr relative to Nana Esi Kittah United States Nana Esi Kittah's profile →
Citations per field
00.5×11.3×
Nana Esi Kittah · 1×
Citations per year

Countries citing papers authored by Roland Därr

Since Specialization
Citations

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

Fields of papers citing papers by Roland Därr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201380
2 201279
3 201770
4 201252
5 201441
6 201828
7 201314
8 201214
9 201613
10 201713
11 202013
12 20139
13 20159
14 20116
15 20135
16 20203
17 20143
18 20132
19 20081
20 20141

About Roland Därr

Roland Därr is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 20 papers that have together received 456 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (15 papers), Pituitary Gland Disorders and Treatments (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Hormonal Regulation and Hypertension (2 papers), Parathyroid Disorders and Treatments (1 paper), Sodium Intake and Health (1 paper), Renal cell carcinoma treatment (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (218 citations), Cancer Research (147 citations), Surgery (362 citations), Neurology (41 citations) and Bioengineering (7 citations). Roland Därr has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Jacques W.M. Lenders, Stefan R. Bornstein, Graeme Eisenhofer, Karel Pacák, Aleksander Prejbisz, Andrzej Januszewicz, Lorenz C. Hofbauer, Mirko Peitzsch, Matthias Kühn and Christoph Bode. Their work appears in journals such as European Journal of Endocrinology, Clinical Endocrinology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, The Journal of Clinical Endocrinology & Metabolism and Experimental and Clinical Endocrinology & Diabetes.

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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