James M. Ntambi
- Molecular Biology top 0.5%
- Physiology top 0.1%
- Nutrition and Dietetics top 0.02%
- Biochemistry top 0.01%
- Epidemiology top 0.2%
- Co-authors
- Makoto MiyazakiHarini SampathYoung‐Cheul KimAgnieszka DobrzyńMatthew T. FlowersChad M. PatonWeng Chi ManPaul Cohen
- Topics
- Peroxisome Proliferator-Activated Receptors (88 papers)Lipid metabolism and biosynthesis (65 papers)Fatty Acid Research and Health (63 papers)
- Partner nations
- United StatesPolandSaudi Arabia
In The Last Decade
James M. Ntambi
216 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 9.6k
- Physiology 5.8k
- Nutrition and Dietetics 5.5k
- Biochemistry 5.0k
- Epidemiology 4.5k
Countries citing papers authored by James M. Ntambi
This map shows the geographic impact of James M. Ntambi'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 James M. Ntambi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Ntambi more than expected).
Fields of papers citing papers by James M. Ntambi
This network shows the impact of papers produced by James M. Ntambi. 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 James M. Ntambi. The network helps show where James M. Ntambi may publish in the future.
Co-authorship network of co-authors of James M. Ntambi
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Ntambi. A scholar is included among the top collaborators of James M. Ntambi 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 James M. Ntambi. James M. Ntambi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 228 | |
| 9 | 10 | |
| 10 | 65 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | Regulation of gene expression by polyunsaturated fatty acids | 8 |
| 14 | 0 | |
| 15 | 17 | |
| 16 | 168 | |
| 17 | 309 | |
| 18 | Effects of Conjugated Linoleic Acid (CLA) on Immune Response, Body Composition and Stearoyl-CoA Desaturase | 6 |
| 19 | Adipocyte biology and hormone signaling | 9 |
| 20 | Independent divergences in the CD4 binding site and V3 loop encoded in two seroprevalent Ugandan HIV-1 clinical isolates. | 4 |
About James M. Ntambi
James M. Ntambi is a scholar working on Biochemistry, Nutrition and Dietetics and Cancer Research, having authored 219 papers that have together received 20.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (88 papers), Lipid metabolism and biosynthesis (65 papers) and Fatty Acid Research and Health (63 papers). The work is most often cited by research in Biochemistry (5.0k citations), Nutrition and Dietetics (5.5k citations) and Physiology (5.8k citations). James M. Ntambi has collaborated with scholars based in United States, Poland and Saudi Arabia. Frequent co-authors include Makoto Miyazaki, Harini Sampath, Young‐Cheul Kim, Agnieszka Dobrzyń, Matthew T. Flowers, Chad M. Paton, Weng Chi Man, Paul Cohen, Jeffrey M. Friedman and Kiki Chu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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.