H. Majewski

2.7k citations
112 papers · 2.4k · h-index 26

Impact in

Papers in

H. Majewski

111 papers receiving 2.2k citations

Peers

H. Majewski
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 944
  • Behavioral Neuroscience 146
  • Cardiology and Cardiovascular Medicine 633
  • Physiology 638
  • Endocrine and Autonomic Systems 123
Replace B B Hoffman with:
B B Hoffman United States
A Gibson United Kingdom
Koichiro Takasaki Japan
Donald D. Lund United States
Edda Adler‐Graschinsky Argentina
P M Vanhoutte United States
Juraj Čulman Germany
Ursula Ganten Germany
Futoshi Izumi Japan
Yoshitsugu Osumi Japan
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Citations per field
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Citations per year

Countries citing papers authored by H. Majewski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with H. Majewski Line = papers co-authored together H. Majewski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983138
2 1998111
3 1981106
4 198081
5 199876
6 198175
7 198168
8 198463
9 198262
10 198256
11 198752
12 198346
13 198143
14 198742
15 198841
16 198440
17 198640
18 198737
19 198635
20 198135

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 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (64 papers), Neuropeptides and Animal Physiology (32 papers), Ion channel regulation and function (23 papers), Neuroscience and Neuropharmacology Research (19 papers), Nitric Oxide and Endothelin Effects (17 papers), Cardiac electrophysiology and arrhythmias (9 papers), Eicosanoids and Hypertension Pharmacology (9 papers) and Renin-Angiotensin System Studies (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (944 citations), Behavioral Neuroscience (146 citations), Cardiology and Cardiovascular Medicine (633 citations), Physiology (638 citations) and Endocrine and Autonomic Systems (123 citations). H. Majewski has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include M. J. Rand, L. Hedler, L. -H. Tung, Klaus Starke, Ian Musgrave, 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.

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