Jack W. Rip

868 citations
36 papers · 628 · h-index 15

Impact in

  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis
    • Antioxidant Activity and Oxidative Stress
    • Plant biochemistry and biosynthesis
    • Glycosylation and Glycoproteins Research
    • Natural product bioactivities and synthesis

Papers in

Jack W. Rip

35 papers receiving 593 citations

Peers

Jack W. Rip
Comparison fields: 5 of 76
  • Biochemistry 77
  • Biochemistry 39
  • Molecular Biology 396
  • Pharmacology 48
  • Spectroscopy 90
Replace E. Arlandini with:
E. Arlandini Italy
Georges Bories France
Chester E. Holmlund United States
Vassilios M. Kapoulas Greece
Conny Valtersson Sweden
Mark W. Collison United States
J.C. Schabort South Africa
R. Kaschnitz Austria
A. Minghetti Italy
Grazia Luisi Italy
Jack W. Rip relative to E. Arlandini Italy E. Arlandini's profile →
Citations per field
00.5×2.7×
E. Arlandini · 1×
Citations per year

Countries citing papers authored by Jack W. Rip

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985150
2 198168
3 198537
4 198234
5 198329
6 198028
7 198426
8 198224
9 198319
10 198319
11 199817
12 197117
13 198216
14 199515
15 198615
16 199812
17 198910
18 198610
19 197610
20 19889

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 628 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (5 papers), Soybean genetics and cultivation (5 papers), Plant biochemistry and biosynthesis (4 papers), Alkaline Phosphatase Research Studies (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lysosomal Storage Disorders Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Biochemistry (77 citations), Biochemistry (39 citations), Molecular Biology (396 citations), Pharmacology (48 citations) and Spectroscopy (90 citations). Jack W. Rip has collaborated with scholars based in Canada, United Kingdom and Japan. Frequent co-authors include Kenneth K. Carroll, C. Anthony Rupar, K. K. Carroll, Ravi Kothapalli, Nilabh Chaudhary, B. A. Gordon, Wilfried E. Rauser, David J. Freeman, 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.

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