Jin-Keon Pai
- Molecular Biology top 5%
- Oncology top 10%
- Physiology top 10%
- Cell Biology top 5%
- Immunology
- Co-authors
- Marvín I. SiegelRobert W. EganW. Robert BishopMotasim BillahPaul T. KirschmeierDavid B. WhyteLinda JamesJoseph J. Catino
- Topics
- Protein Kinase Regulation and GTPase Signaling (12 papers)Lipid metabolism and biosynthesis (3 papers)Natural product bioactivities and synthesis (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical Journal
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Jin-Keon Pai
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.5k
- Oncology 385
- Physiology 353
- Cell Biology 250
- Immunology 177
Countries citing papers authored by Jin-Keon Pai
This map shows the geographic impact of Jin-Keon Pai'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 Jin-Keon Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Keon Pai more than expected).
Fields of papers citing papers by Jin-Keon Pai
This network shows the impact of papers produced by Jin-Keon Pai. 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 Jin-Keon Pai. The network helps show where Jin-Keon Pai may publish in the future.
Co-authorship network of co-authors of Jin-Keon Pai
This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Keon Pai. A scholar is included among the top collaborators of Jin-Keon Pai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin-Keon Pai. Jin-Keon Pai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Targeting Signal Transduction pathways | 1 |
| 2 | 9 | |
| 3 | K- and N-Ras Are Geranylgeranylated in Cells Treated with Farnesyl Protein Transferase Inhibitorsbreakdown → | 706 |
| 4 | 15 | |
| 5 | 41 | |
| 6 | 10 | |
| 7 | 63 | |
| 8 | 34 | |
| 9 | 14 | |
| 10 | 79 | |
| 11 | 27 | |
| 12 | 3 | |
| 13 | 144 | |
| 14 | 280 | |
| 15 | 17 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 22 | |
| 19 | 37 | |
| 20 | 6 |
About Jin-Keon Pai
Jin-Keon Pai is a scholar working on Biochemistry, Cancer Research and Pharmacology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Lipid metabolism and biosynthesis (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Biochemistry (148 citations) and Cell Biology (250 citations). Jin-Keon Pai has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Marvín I. Siegel, Robert W. Egan, W. Robert Bishop, Motasim Billah, Paul T. Kirschmeier, David B. Whyte, Linda James, Joseph J. Catino, Theodore J. Mullmann and M. Motasim Billah. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.
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.