Erwin Haas

26 papers receiving 704 citations

Peers

Erwin Haas
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 397
  • Endocrinology, Diabetes and Metabolism 193
  • Nephrology 82
  • Biochemistry 42
  • Animal Science and Zoology 56
Replace Harry Goldblatt with:
Harry Goldblatt United States
Norman R. Marquis United States
David A Willard United States
Manfred Raschack Germany
Fred A. Kruger United States
Philip R. Kastner United States
Peter J.S. Chiu United States
W E Neeley United States
Jacek Spławiński Poland
P Padieu France
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 12 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966169
2 196492
3 195490
4 195376
5 196567
6 195951
7 196045
8 195341
9 195439
10 197838
11 196727
12 195327
13 197524
14 196019
15 196316
16 197616
17 197215
18 195315
19 195914
20 197212

About Erwin Haas

Erwin Haas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 28 papers that have together received 924 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Hormonal Regulation and Hypertension (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Protein purification and stability (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (397 citations), Endocrinology, Diabetes and Metabolism (193 citations), Nephrology (82 citations), Biochemistry (42 citations) and Animal Science and Zoology (56 citations). Erwin Haas has collaborated with scholars based in United States. Frequent co-authors include Harry Goldblatt, Hildegard Lamfrom, Sharad D. Deodhar, Hideyoshi Yokosawa, Tadashi Inagami, Edward Quinn, Evelyn J. Fisher, T. Madhavan, Nathan W. Levin and D J Pohlod. 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 The Journal of Immunology.

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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