H.A. Leaver
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
-
- Cancer, Lipids, and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 8
- S100 Proteins and Annexins 6
- Immunology 18
- Immune Response and Inflammation 11
- Co-authors
- W. S. G. Walker (5 shared papers)P.L. Yap (19 shared papers)Ian R. Whittle (10 shared papers)Stewart R. Craig (5 shared papers)G.C. Pugh (1 shared paper)Stephen B. Wharton (5 shared papers)Helen Bell (4 shared papers)N.L. Poyser (3 shared papers)
- Journals
- Prostaglandins Leukotrienes and Essential Fatty Acids (11 papers)Biochemical Society Transactions (10 papers)Molecular Neurobiology (3 papers)Biologicals (2 papers)Reproduction (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
H.A. Leaver
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Biochemistry 96
- Cancer Research 133
- Nutrition and Dietetics 137
- Agronomy and Crop Science 95
- Immunology 161
Countries citing papers authored by H.A. Leaver
This map shows the geographic impact of H.A. Leaver'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.A. Leaver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.A. Leaver more than expected).
Fields of papers citing papers by H.A. Leaver
This network shows the impact of papers produced by H.A. Leaver. 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.A. Leaver. The network helps show where H.A. Leaver may publish in the future.
Co-authors
The 25 scholars most cited alongside H.A. Leaver, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 209 | |
| 2 | 2010 | 67 | |
| 3 | 2001 | 66 | |
| 4 | 2002 | 52 | |
| 5 | 1981 | 48 | |
| 6 | 1998 | 47 | |
| 7 | 1999 | 41 | |
| 8 | 2007 | 39 | |
| 9 | 2002 | 38 | |
| 10 | 2006 | 38 | |
| 11 | 1998 | 37 | |
| 12 | 2014 | 35 | |
| 13 | 2006 | 33 | |
| 14 | 1984 | 32 | |
| 15 | 1982 | 28 | |
| 16 | 2012 | 26 | |
| 17 | 2006 | 24 | |
| 18 | 1983 | 23 | |
| 19 | 1989 | 22 | |
| 20 | 2009 | 20 |
About H.A. Leaver
H.A. Leaver is a scholar working on Molecular Biology, Immunology, Nutrition and Dietetics, Neurology and Pharmacology, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Fatty Acid Research and Health (11 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Reproductive Physiology in Livestock (6 papers), S100 Proteins and Annexins (6 papers), Inflammatory mediators and NSAID effects (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Biochemistry (96 citations), Cancer Research (133 citations), Nutrition and Dietetics (137 citations), Agronomy and Crop Science (95 citations) and Immunology (161 citations). H.A. Leaver has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include W. S. G. Walker, P.L. Yap, Ian R. Whittle, Stewart R. Craig, G.C. Pugh, Stephen B. Wharton, Helen Bell, N.L. Poyser, Maria Teresa Rizzo and James W. Ironside. Their work appears in journals such as Prostaglandins Leukotrienes and Essential Fatty Acids, Biochemical Society Transactions, Molecular Neurobiology, Biologicals and Reproduction.
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.