Harry B. Paddon
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Receptor Mechanisms and Signaling 3
- Protein Kinase Regulation and GTPase Signaling 3
-
- Microtubule and mitosis dynamics 4
- Co-authors
- Steven Pelech (14 shared papers)Dennis E. Vance (7 shared papers)Jasbinder S. Sanghera (5 shared papers)D E Vance (2 shared papers)Everard M. Trip (1 shared paper)S Bader (1 shared paper)Harold W. Cook (1 shared paper)Xiaoqing Shi (3 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Journal of Neurochemistry (2 papers)Biochemical Journal (2 papers)The Journal of Immunology (1 paper)Biochemistry (1 paper)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Harry B. Paddon
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Biochemistry 192
- Clinical Biochemistry 117
- Cell Biology 240
- Molecular Biology 843
- Aging 17
Countries citing papers authored by Harry B. Paddon
This map shows the geographic impact of Harry B. Paddon'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 Harry B. Paddon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry B. Paddon more than expected).
Fields of papers citing papers by Harry B. Paddon
This network shows the impact of papers produced by Harry B. Paddon. 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 Harry B. Paddon. The network helps show where Harry B. Paddon may publish in the future.
Co-authors
The 25 scholars most cited alongside Harry B. Paddon, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 166 | |
| 2 | 1990 | 136 | |
| 3 | 1984 | 116 | |
| 4 | 1984 | 74 | |
| 5 | 1980 | 73 | |
| 6 | 2004 | 71 | |
| 7 | 1993 | 68 | |
| 8 | 1980 | 67 | |
| 9 | 1991 | 63 | |
| 10 | 2002 | 54 | |
| 11 | 2006 | 45 | |
| 12 | 1990 | 40 | |
| 13 | 1992 | 39 | |
| 14 | 1983 | 37 | |
| 15 | 1995 | 31 | |
| 16 | 1986 | 26 | |
| 17 | 1981 | 25 | |
| 18 | 1982 | 25 | |
| 19 | 1977 | 24 | |
| 20 | 1991 | 22 |
About Harry B. Paddon
Harry B. Paddon is a scholar working on Molecular Biology, Cell Biology, Public Health, Environmental and Occupational Health, Surgery and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Reproductive Biology and Fertility (4 papers), Lipid metabolism and biosynthesis (3 papers), Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Proteins in Food Systems (3 papers), Metabolism and Genetic Disorders (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Biochemistry (192 citations), Clinical Biochemistry (117 citations), Cell Biology (240 citations), Molecular Biology (843 citations) and Aging (17 citations). Harry B. Paddon has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Steven Pelech, Dennis E. Vance, Jasbinder S. Sanghera, D E Vance, Everard M. Trip, S Bader, Harold W. Cook, Xiaoqing Shi, P C Choy and Hong Zhang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry, Biochemical Journal, The Journal of Immunology and Biochemistry.
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.