E. Haas
Impact in
-
- Renin-Angiotensin System Studies
- Ophthalmology top 10%
- Glaucoma and retinal disorders
Papers in
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- Protein Hydrolysis and Bioactive Peptides 3
- Receptor Mechanisms and Signaling 2
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- Renin-Angiotensin System Studies 7
- Co-authors
- Harry Goldblatt (11 shared papers)K Murakami (2 shared papers)Hideyoshi Yokosawa (1 shared paper)Leslie A. Holladay (1 shared paper)Tadashi Inagami (1 shared paper)K. E. W. P. Tan (1 shared paper)W.J. Kolff (1 shared paper)Michael Kendler (1 shared paper)
- Journals
- Ophthalmologica (7 papers)American Journal of Physiology-Legacy Content (6 papers)The Lancet (2 papers)American Journal of Hypertension (2 papers)Hypertension (2 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
E. Haas
29 papers receiving 271 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 129
- Ophthalmology 39
- Endocrinology, Diabetes and Metabolism 45
- Nephrology 16
- Molecular Biology 125
Countries citing papers authored by E. Haas
This map shows the geographic impact of E. 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 E. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Haas more than expected).
Fields of papers citing papers by E. Haas
This network shows the impact of papers produced by E. 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 E. Haas. The network helps show where E. Haas may publish in the future.
Co-authors
The 10 scholars most cited alongside E. Haas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 105 | |
| 2 | 1968 | 39 | |
| 3 | 1962 | 23 | |
| 4 | 1960 | 15 | |
| 5 | 1964 | 14 | |
| 6 | 1965 | 14 | |
| 7 | STUDIES ON RENIN. | 1963 | 14 |
| 8 | 1976 | 14 | |
| 9 | 1959 | 13 | |
| 10 | 1977 | 10 | |
| 11 | 1966 | 9 | |
| 12 | 1989 | 7 | |
| 13 | 1959 | 6 | |
| 14 | 1979 | 5 | |
| 15 | 1968 | 5 | |
| 16 | 1989 | 4 | |
| 17 | 1961 | 4 | |
| 18 | 1985 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 1975 | 3 |
About E. Haas
E. Haas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 331 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Ocular Surface and Contact Lens (4 papers), Sympathectomy and Hyperhidrosis Treatments (4 papers), Glaucoma and retinal disorders (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Receptor Mechanisms and Signaling (2 papers), Corneal surgery and disorders (2 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (129 citations), Ophthalmology (39 citations), Endocrinology, Diabetes and Metabolism (45 citations), Nephrology (16 citations) and Molecular Biology (125 citations). E. Haas has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Harry Goldblatt, K Murakami, Hideyoshi Yokosawa, Leslie A. Holladay, Tadashi Inagami, K. E. W. P. Tan, W.J. Kolff, Michael Kendler, Vernon Rowland and P. Bart Vrtunski. Their work appears in journals such as Ophthalmologica, American Journal of Physiology-Legacy Content, The Lancet, American Journal of Hypertension and Hypertension.
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.