Jeff Janes
Impact in
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- Circadian rhythm and melatonin
- Aging top 5%
Papers in
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- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Surgery 3
- Co-authors
- Andrew I. Su (6 shared papers)Chunlei Wu (3 shared papers)Serge Batalov (3 shared papers)Jason Boyer (1 shared paper)Camilo Madariaga Orozco (1 shared paper)J. Haase (1 shared paper)Genevieve Welch (2 shared papers)Steven J. Wilkens (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Medicinal Chemistry (1 paper)Clinical and Vaccine Immunology (1 paper)Genetics (1 paper)Cell (1 paper)
- Partner nations
- United StatesSwitzerlandSingapore
In The Last Decade
Jeff Janes
14 papers receiving 2.2k citations
Jeff Janes's Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrine and Autonomic Systems 276
- Aging 72
- Molecular Biology 1.0k
- Computational Theory and Mathematics 238
- Immunology 209
Countries citing papers authored by Jeff Janes
This map shows the geographic impact of Jeff Janes'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 Jeff Janes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Janes more than expected).
Fields of papers citing papers by Jeff Janes
This network shows the impact of papers produced by Jeff Janes. 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 Jeff Janes. The network helps show where Jeff Janes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Janes, 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 | BioGPS: an extensible and customizable portal for querying and organizing gene annotation resources Hit paper breakdown → | 2009 | 1104 |
| 2 | 2009 | 337 | |
| 3 | 2008 | 326 | |
| 4 | 2018 | 130 | |
| 5 | 2005 | 80 | |
| 6 | 2008 | 74 | |
| 7 | 2007 | 60 | |
| 8 | 1978 | 40 | |
| 9 | 2011 | 26 | |
| 10 | 2009 | 14 | |
| 11 | 2000 | 12 | |
| 12 | 1982 | 8 | |
| 13 | 1978 | 5 | |
| 14 | 2002 | 1 | |
| 15 | Intestinal absorption of oral cholecystographic agents | 1977 | 1 |
About Jeff Janes
Jeff Janes is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Genetics, having authored 15 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Physiology and Cultivation Studies (1 paper), T-cell and B-cell Immunology (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (276 citations), Aging (72 citations), Molecular Biology (1.0k citations), Computational Theory and Mathematics (238 citations) and Immunology (209 citations). Jeff Janes has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Andrew I. Su, Chunlei Wu, Serge Batalov, Jason Boyer, Camilo Madariaga Orozco, J. Haase, Genevieve Welch, Steven J. Wilkens, John B. Hogenesch and Tsuyoshi Hirota. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry, Clinical and Vaccine Immunology, Genetics and Cell.
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.