Jonathan Usuka
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Cancer therapeutics and mechanisms 1
-
- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Gary Peltz (12 shared papers)Volker Brendel (2 shared papers)Guochun Liao (8 shared papers)Wei Zhu (1 shared paper)Jianmei Wang (3 shared papers)Andrew Grupe (2 shared papers)Dee Aud (2 shared papers)Søren Germer (2 shared papers)
- Journals
- Science (2 papers)Bioinformatics (2 papers)Pharmacogenomics (1 paper)PLoS Genetics (1 paper)Anesthesiology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Jonathan Usuka
14 papers receiving 900 citations
Peers
Comparison fields: 5 of 98
- Pharmacology 92
- Genetics 272
- Physiology 166
- Molecular Biology 410
- Infectious Diseases 97
Countries citing papers authored by Jonathan Usuka
This map shows the geographic impact of Jonathan Usuka'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 Jonathan Usuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Usuka more than expected).
Fields of papers citing papers by Jonathan Usuka
This network shows the impact of papers produced by Jonathan Usuka. 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 Jonathan Usuka. The network helps show where Jonathan Usuka may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Usuka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 223 | |
| 2 | 2008 | 110 | |
| 3 | 2000 | 105 | |
| 4 | 2006 | 96 | |
| 5 | 2004 | 89 | |
| 6 | 2006 | 53 | |
| 7 | 2004 | 52 | |
| 8 | 2000 | 47 | |
| 9 | 2005 | 46 | |
| 10 | 2007 | 43 | |
| 11 | 2005 | 19 | |
| 12 | Grupe, A. et al. In silico mapping of complex disease-related traits in mice. Science 292, 1915-1918 | 2001 | 17 |
| 13 | 2007 | 15 | |
| 14 | From mouse genetics to human therapeutics. | 2005 | 7 |
About Jonathan Usuka
Jonathan Usuka is a scholar working on Molecular Biology, Pharmacology, Genetics, Pharmacology and Physiology, having authored 14 papers that have together received 922 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Machine Learning in Bioinformatics (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Pharmacology (92 citations), Genetics (272 citations), Physiology (166 citations), Molecular Biology (410 citations) and Infectious Diseases (97 citations). Jonathan Usuka has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Gary Peltz, Volker Brendel, Guochun Liao, Wei Zhu, Jianmei Wang, Andrew Grupe, Dee Aud, Søren Germer, Russell Higuchi and Robert F. Klein. Their work appears in journals such as Science, Bioinformatics, Pharmacogenomics, PLoS Genetics and Anesthesiology.
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.