H. John Smith
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
- Organic Chemistry top 10%
- Synthesis and biological activity
- Chemical synthesis and alkaloids
Papers in
- Genetics 10
- Estrogen and related hormone effects 10
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- Cholinesterase and Neurodegenerative Diseases 4
- Co-authors
- Paul J. Nicholls (33 shared papers)Claire Simons (8 shared papers)Michael Shaw (2 shared papers)Rhys Whomsley (4 shared papers)Robert D. E. Sewell (8 shared papers)M. J. E. Hewlins (4 shared papers)Andrew J. Kirby (4 shared papers)Vittorio Pestellini (1 shared paper)
- Journals
- Journal of Pharmacy and Pharmacology (21 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (7 papers)Progress in medicinal chemistry (2 papers)Biochemical Pharmacology (2 papers)Chirality (2 papers)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
H. John Smith
59 papers receiving 681 citations
Peers
Comparison fields: 5 of 49
- Genetics 132
- Organic Chemistry 96
- Computational Theory and Mathematics 40
- Pharmacology 25
- Inorganic Chemistry 16
Countries citing papers authored by H. John Smith
This map shows the geographic impact of H. John Smith'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. John Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. John Smith more than expected).
Fields of papers citing papers by H. John Smith
This network shows the impact of papers produced by H. John Smith. 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. John Smith. The network helps show where H. John Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside H. John Smith, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1960 | 67 | |
| 2 | 1989 | 65 | |
| 3 | 2001 | 65 | |
| 4 | 1988 | 45 | |
| 5 | 1993 | 40 | |
| 6 | 1999 | 39 | |
| 7 | 1986 | 38 | |
| 8 | 1988 | 32 | |
| 9 | 2003 | 31 | |
| 10 | Regulation of Enzyme Synthesis and Activity in Higher Plants | 1978 | 30 |
| 11 | 2001 | 22 | |
| 12 | 1994 | 21 | |
| 13 | 2002 | 20 | |
| 14 | 1988 | 17 | |
| 15 | 1971 | 13 | |
| 16 | 1998 | 13 | |
| 17 | 2000 | 13 | |
| 18 | 1966 | 12 | |
| 19 | 2002 | 12 | |
| 20 | 1999 | 11 |
About H. John Smith
H. John Smith is a scholar working on Genetics, Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology and Cancer Research, having authored 62 papers that have together received 758 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Retinoids in leukemia and cellular processes (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (2 papers), Protease and Inhibitor Mechanisms (2 papers), Enzyme function and inhibition (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Genetics (132 citations), Organic Chemistry (96 citations), Computational Theory and Mathematics (40 citations), Pharmacology (25 citations) and Inorganic Chemistry (16 citations). H. John Smith has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Paul J. Nicholls, Claire Simons, Michael Shaw, Rhys Whomsley, Robert D. E. Sewell, M. J. E. Hewlins, Andrew J. Kirby, Vittorio Pestellini, Paolo Lombardi and Martin Rowlands. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Journal of Enzyme Inhibition and Medicinal Chemistry, Progress in medicinal chemistry, Biochemical Pharmacology and Chirality.
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.