H. Majewski
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Behavioral Neuroscience top 5%
Papers in
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- Receptor Mechanisms and Signaling 61
- Ion channel regulation and function 23
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- Neuropeptides and Animal Physiology 29
- Neuroscience and Neuropharmacology Research 19
- Co-authors
- M. J. Rand (22 shared papers)L. -H. Tung (6 shared papers)L. Hedler (9 shared papers)Ian Musgrave (11 shared papers)Klaus Starke (8 shared papers)Timothy V. Murphy (11 shared papers)David Story (6 shared papers)Sylvain Foucart (7 shared papers)
In The Last Decade
H. Majewski
106 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 903
- Behavioral Neuroscience 142
- Cardiology and Cardiovascular Medicine 664
- Physiology 626
- Biochemistry 133
Countries citing papers authored by H. Majewski
This map shows the geographic impact of H. Majewski'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 H. Majewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Majewski more than expected).
Fields of papers citing papers by H. Majewski
This network shows the impact of papers produced by H. Majewski. 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 H. Majewski. The network helps show where H. Majewski may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Majewski, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 134 | |
| 2 | 1998 | 109 | |
| 3 | 1981 | 98 | |
| 4 | 1980 | 81 | |
| 5 | 1998 | 75 | |
| 6 | 1981 | 74 | |
| 7 | 1981 | 67 | |
| 8 | 1984 | 59 | |
| 9 | 1982 | 56 | |
| 10 | 1982 | 52 | |
| 11 | 1987 | 51 | |
| 12 | 1983 | 43 | |
| 13 | 1987 | 42 | |
| 14 | 1981 | 42 | |
| 15 | 1988 | 41 | |
| 16 | 1986 | 39 | |
| 17 | 1984 | 38 | |
| 18 | 1987 | 35 | |
| 19 | 1981 | 34 | |
| 20 | 1986 | 34 |
About H. Majewski
H. Majewski is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (61 papers), Neuropeptides and Animal Physiology (29 papers), Ion channel regulation and function (23 papers), Neuroscience and Neuropharmacology Research (19 papers), Nitric Oxide and Endothelin Effects (18 papers), Renin-Angiotensin System Studies (9 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (903 citations), Behavioral Neuroscience (142 citations), Cardiology and Cardiovascular Medicine (664 citations), Physiology (626 citations) and Biochemistry (133 citations). H. Majewski has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include M. J. Rand, L. -H. Tung, L. Hedler, Ian Musgrave, Klaus Starke, Timothy V. Murphy, David Story, Sylvain Foucart, Peter Kotsonis and M.W. McCulloch. Their work appears in journals such as British Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Clinical and Experimental Pharmacology and Physiology, Naunyn-Schmiedeberg s Archives of Pharmacology and European Journal of Pharmacology.
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.