Jack W. Rip
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Antioxidant Activity and Oxidative Stress
- Pharmacology top 10%
Papers in
-
- Plant biochemistry and biosynthesis 4
-
- Soybean genetics and cultivation 5
- Co-authors
- Kenneth K. Carroll (16 shared papers)C. Anthony Rupar (6 shared papers)K. K. Carroll (5 shared papers)Ravi Kothapalli (5 shared papers)Nilabh Chaudhary (5 shared papers)B. A. Gordon (3 shared papers)David J. Freeman (1 shared paper)Wilfried E. Rauser (2 shared papers)
- Journals
- Biochemistry and Cell Biology (5 papers)Biochemical Journal (4 papers)Journal of Biological Chemistry (3 papers)Phytochemistry (2 papers)Journal of Agricultural and Food Chemistry (2 papers)
- Partner nations
- CanadaSwedenUnited Kingdom
In The Last Decade
Jack W. Rip
35 papers receiving 574 citations
Peers
Comparison fields: 5 of 76
- Biochemistry 74
- Biochemistry 38
- Pharmacology 49
- Molecular Biology 383
- Spectroscopy 89
Countries citing papers authored by Jack W. Rip
This map shows the geographic impact of Jack W. Rip'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 Jack W. Rip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack W. Rip more than expected).
Fields of papers citing papers by Jack W. Rip
This network shows the impact of papers produced by Jack W. Rip. 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 Jack W. Rip. The network helps show where Jack W. Rip may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack W. Rip, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 143 | |
| 2 | 1981 | 66 | |
| 3 | 1985 | 37 | |
| 4 | 1982 | 34 | |
| 5 | 1983 | 30 | |
| 6 | 1980 | 27 | |
| 7 | 1984 | 24 | |
| 8 | 1982 | 23 | |
| 9 | 1983 | 19 | |
| 10 | 1983 | 18 | |
| 11 | 1998 | 17 | |
| 12 | 1971 | 15 | |
| 13 | 1982 | 15 | |
| 14 | 1986 | 15 | |
| 15 | 1995 | 13 | |
| 16 | 1998 | 12 | |
| 17 | 1989 | 10 | |
| 18 | 1986 | 10 | |
| 19 | 1976 | 9 | |
| 20 | 1988 | 9 |
About Jack W. Rip
Jack W. Rip is a scholar working on Molecular Biology, Plant Science, Spectroscopy, Ecology, Evolution, Behavior and Systematics and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 605 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (5 papers), Analytical Chemistry and Chromatography (5 papers), Plant biochemistry and biosynthesis (4 papers), Alkaline Phosphatase Research Studies (4 papers), Lipid metabolism and biosynthesis (3 papers), Lysosomal Storage Disorders Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Biochemistry (74 citations), Biochemistry (38 citations), Pharmacology (49 citations), Molecular Biology (383 citations) and Spectroscopy (89 citations). Jack W. Rip has collaborated with scholars based in Canada, Sweden and United Kingdom. Frequent co-authors include Kenneth K. Carroll, C. Anthony Rupar, K. K. Carroll, Ravi Kothapalli, Nilabh Chaudhary, B. A. Gordon, David J. Freeman, Wilfried E. Rauser, Joe H. Cherry and Dean C. Crick. Their work appears in journals such as Biochemistry and Cell Biology, Biochemical Journal, Journal of Biological Chemistry, Phytochemistry and Journal of Agricultural and Food Chemistry.
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.