Ralph Telgmann

29 papers receiving 1.2k citations

Peers

Ralph Telgmann
Comparison fields: 5 of 101
  • Reproductive Medicine 271
  • Immunology 456
  • Obstetrics and Gynecology 106
  • Endocrinology, Diabetes and Metabolism 207
  • Genetics 249
Replace Edith Markoff with:
Edith Markoff United States
Miklós Koppán Hungary
Christian De Geyter Switzerland
Dongzi Yang China
Mohamed Benharouga France
Armando Reyes‐Engel Spain
Takashi Nagashima Japan
Xian-Hua Lin China
Lawrence C. Layman United States
Lynn Buchwalder United States
Ralph Telgmann relative to Edith Markoff United States Edith Markoff's profile →
Citations per field
00.5×9.5×
Edith Markoff · 1×
Citations per year

Countries citing papers authored by Ralph Telgmann

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Telgmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011261
2 1994200
3 1998135
4 1997130
5 199766
6 200362
7 200142
8 200735
9 199534
10 200229
11 200326
12 200123
13 200920
14 200519
15 201217
16 200817
17 200613
18 199713
19 200712
20 200911

About Ralph Telgmann

Ralph Telgmann is a scholar working on Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Estrogen and related hormone effects (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Receptor Mechanisms and Signaling (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Neuroendocrine regulation and behavior (3 papers), Cell Adhesion Molecules Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Reproductive Medicine (271 citations), Immunology (456 citations), Obstetrics and Gynecology (106 citations), Endocrinology, Diabetes and Metabolism (207 citations) and Genetics (249 citations). Ralph Telgmann has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Birgit Gellersen, Rita Kempf, Gabriel E. DiMattia, Kjetil Taskén, Erik Maronde, Arnold von Eckardstein, Jerzy‐Roch Nofer, Carsten Müller‐Tidow, Horst Robenek and Georg Varga. Their work appears in journals such as Molecular Endocrinology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Hypertension, Pharmacogenetics and Genomics and Molecular Human Reproduction.

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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