Erwin Haas

25 papers receiving 661 citations

Peers

Erwin Haas
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 369
  • Endocrinology, Diabetes and Metabolism 175
  • Nephrology 64
  • Biochemistry 39
  • Animal Science and Zoology 54
Replace Harry Goldblatt with:
Harry Goldblatt United States
Robert A. Vukovich United States
Norman R. Marquis United States
Harry Hochstrasser United States
Manfred Raschack Germany
J Gloster United Kingdom
W E Neeley United States
Philip R. Kastner United States
P Padieu France
W. Schrade Germany
Erwin Haas relative to Harry Goldblatt United States Harry Goldblatt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erwin Haas

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Erwin Haas, 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 Erwin Haas Line = papers co-authored together Erwin Haas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966166
2 195482
3 196481
4 195365
5 196559
6 195946
7 196040
8 197833
9 195432
10 195330
11 196724
12 195321
13 197520
14 196014
15 196314
16 197214
17 197613
18 197212
19 195912
20 198411

About Erwin Haas

Erwin Haas is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 25 papers that have together received 814 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hormonal Regulation and Hypertension (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Renal function and acid-base balance (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (369 citations), Endocrinology, Diabetes and Metabolism (175 citations), Nephrology (64 citations), Biochemistry (39 citations) and Animal Science and Zoology (54 citations). Erwin Haas has collaborated with scholars based in United States. Frequent co-authors include Harry Goldblatt, Hildegard Lamfrom, Sharad D. Deodhar, Tadashi Inagami, Hideyoshi Yokosawa, Evelyn J. Fisher, Edward Quinn, Ramon Del Busto, T. Madhavan and Nathan W. Levin. Their work appears in journals such as American Journal of Physiology-Legacy Content, Archives of Biochemistry and Biophysics, Circulation Research, Antimicrobial Agents and Chemotherapy and Biochemical and Biophysical Research Communications.

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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