Jonathan Usuka
Impact in
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Genomics, phytochemicals, and oxidative stress 1
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
- Animal Genetics and Reproduction 1
- Co-authors
- Gary Peltz (13 shared papers)Volker Brendel (2 shared papers)Guochun Liao (9 shared papers)Wei Zhu (1 shared paper)Jianmei Wang (3 shared papers)Russell Higuchi (2 shared papers)Andrew Grupe (2 shared papers)Dee Aud (2 shared papers)
- Journals
- Bioinformatics (2 papers)Science (2 papers)Nature Biotechnology (1 paper)Trends in Genetics (1 paper)Pharmacogenomics (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Jonathan Usuka
15 papers receiving 949 citations
Peers
Comparison fields: 5 of 98
- Genetics 280
- Pharmacology 85
- Physiology 146
- Infectious Diseases 104
- Molecular Biology 394
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 | 237 | |
| 2 | 2008 | 121 | |
| 3 | 2000 | 117 | |
| 4 | 2006 | 99 | |
| 5 | 2004 | 93 | |
| 6 | 2006 | 54 | |
| 7 | 2004 | 52 | |
| 8 | 2000 | 50 | |
| 9 | 2005 | 46 | |
| 10 | 2007 | 45 | |
| 11 | Grupe, A. et al. In silico mapping of complex disease-related traits in mice. Science 292, 1915-1918 | 2001 | 21 |
| 12 | 2005 | 21 | |
| 13 | 2007 | 20 | |
| 14 | From mouse genetics to human therapeutics. | 2005 | 7 |
| 15 | 2007 | 5 | |
| 16 | 2008 | 0 |
About Jonathan Usuka
Jonathan Usuka is a scholar working on Molecular Biology, Genetics, Pharmacology, Pharmacology and Infectious Diseases, having authored 16 papers that have together received 988 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Animal Genetics and Reproduction (1 paper), Antifungal resistance and susceptibility (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Genetics (280 citations), Pharmacology (85 citations), Physiology (146 citations), Infectious Diseases (104 citations) and Molecular Biology (394 citations). Jonathan Usuka has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Gary Peltz, Volker Brendel, Guochun Liao, Wei Zhu, Jianmei Wang, Russell Higuchi, Andrew Grupe, Dee Aud, Søren Germer and John K. Belknap. Their work appears in journals such as Bioinformatics, Science, Nature Biotechnology, Trends in Genetics and Pharmacogenomics.
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.