R. Schürmann

487 citations
16 papers · 320 · h-index 11

Impact in

Papers in

R. Schürmann

14 papers receiving 305 citations

Peers

R. Schürmann
Comparison fields: 5 of 63
  • Reproductive Medicine 70
  • Obstetrics and Gynecology 62
  • Internal Medicine 27
  • Endocrinology, Diabetes and Metabolism 67
  • Genetics 52
Replace Bina Cohen-Sacher with:
Bina Cohen-Sacher Israel
Laure Morimont Belgium
P. Gaglioti Italy
C. Anandakumar Singapore
Octavio Arango Spain
Ronald R. Townsend United States
Walter L. Gerber United States
Benson Rc United States
Mirela Loredana Grigoraş Romania
U. Abdulla United Kingdom
R. Schürmann relative to Bina Cohen-Sacher Israel Bina Cohen-Sacher's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. Schürmann

Since Specialization
Citations

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

Fields of papers citing papers by R. Schürmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Ultrasound in the investigation of tubal patency. A meta-analysis of three comparative studies of Echovist-200 including 1007 women.
199765
2 200454
3 199340
4
Saccharide-based contrast agents. Characteristics and diagnostic potential.
199429
5
[Tuberculosis and diabetes mellitus: a longitudinal-retrospective study in a teaching hospital].
198923
6 200619
7 199119
8 199118
9 200514
10 200514
11 200811
12 19938
13 19963
14 20082
15 19951
16 20080

About R. Schürmann

R. Schürmann is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Internal Medicine, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 16 papers that have together received 320 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (3 papers), Hormonal Regulation and Hypertension (2 papers), Advanced MRI Techniques and Applications (2 papers), Endometriosis Research and Treatment (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Reproductive Medicine (70 citations), Obstetrics and Gynecology (62 citations), Internal Medicine (27 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Genetics (52 citations). R. Schürmann has collaborated with scholars based in Germany. Frequent co-authors include Reinhard Schlief, Norbert Benda, Rolf Becker, Tobias Höller, Hartmut Blode, H.P. Niendorf, Ruth Langer, K. A. Rosenkranz, R Felix and Michael Spannagl. Their work appears in journals such as Thrombosis Journal, European Radiology, Investigative Radiology, Radiology and The Journal of Clinical Pharmacology.

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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