E Werle

3.5k citations
124 papers · 2.9k · h-index 26

Impact in

  • Genetics top 5%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Genetic diversity and population structure
  • Neurology top 5%
    • Intracranial Aneurysms: Treatment and Complications

Papers in

E Werle

118 papers receiving 2.6k citations

Peers

E Werle
Comparison fields: 5 of 133
  • Genetics 246
  • Neurology 241
  • Physiology 410
  • Neurology 132
  • Psychiatry and Mental health 202
Replace Bruno Maria Colombo with:
Bruno Maria Colombo Italy
Walter Fiehn Germany
Takeshi Yasuda Japan
Eric F. Glasgow United States
Kyoko Nakamura Japan
Hiroshi Ishiguro Japan
Rainer de Martin Austria
David Johnson United States
Carlos B. González Chile
C. J. Epstein United States
E Werle relative to Bruno Maria Colombo Italy Bruno Maria Colombo's profile →
Citations per field
00.5×1.5×
Bruno Maria Colombo · 1×
Citations per year

Countries citing papers authored by E Werle

Since Specialization
Citations

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

Fields of papers citing papers by E Werle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994609
2 1999190
3 1999188
4 1998182
5 2001136
6 1961102
7 1996100
8 199576
9 196174
10 199962
11 195961
12 199855
13 200048
14 198445
15 200144
16 200344
17 200640
18 199038
19 199436
20 199235

About E Werle

E Werle is a scholar working on Genetics, Physiology, Biochemistry, Cell Biology and Rheumatology, having authored 124 papers that have together received 2.9k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (22 papers), Systemic Lupus Erythematosus Research (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Receptor Mechanisms and Signaling (6 papers), Biotin and Related Studies (5 papers), Neuropeptides and Animal Physiology (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). The work is most often cited by research in Genetics (246 citations), Neurology (241 citations), Physiology (410 citations), Neurology (132 citations) and Psychiatry and Mental health (202 citations). E Werle has collaborated with scholars based in Germany, Czechia and Indonesia. Frequent co-authors include Walter Fiehn, Marcel Volker, Matthias Renner, Celine Schneider, IVAR TRAUTSCHOLD, Florian Buggle, Heiko Becher, Werner Hacke, Armin Grau and Dorothea Aures. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Journal of Molecular Medicine, International Journal of Sports Medicine, Lupus and Advances in experimental medicine and biology.

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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