Jeff Leips
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 2%
- Immune cells in cancer
Papers in
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
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- Animal Behavior and Reproduction 13
- Co-authors
- Trudy F. C. Mackay (10 shared papers)Joseph Travis (9 shared papers)Suzanne Ostrand‐Rosenberg (2 shared papers)Virginia K. Clements (2 shared papers)Stephanie K. Bunt (2 shared papers)Pratima Sinha (2 shared papers)Linglin Yang (1 shared paper)Kimberly A. Hughes (6 shared papers)
- Journals
- Genetics (5 papers)Evolution (5 papers)Aging Cell (2 papers)Ornithological Applications (2 papers)Ecology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jeff Leips
52 papers receiving 3k citations
Peers
Comparison fields: 5 of 114
- Aging 370
- Immunology 759
- Ecology, Evolution, Behavior and Systematics 581
- Genetics 644
- Cellular and Molecular Neuroscience 184
Countries citing papers authored by Jeff Leips
This map shows the geographic impact of Jeff Leips'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 Leips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Leips more than expected).
Fields of papers citing papers by Jeff Leips
This network shows the impact of papers produced by Jeff Leips. 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 Leips. The network helps show where Jeff Leips may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Leips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 550 | |
| 2 | 2006 | 469 | |
| 3 | 2000 | 197 | |
| 4 | 1994 | 159 | |
| 5 | 2014 | 99 | |
| 6 | 2012 | 98 | |
| 7 | 2006 | 93 | |
| 8 | 2011 | 90 | |
| 9 | 1999 | 89 | |
| 10 | 2000 | 76 | |
| 11 | 2010 | 74 | |
| 12 | 1999 | 73 | |
| 13 | 2002 | 69 | |
| 14 | 2009 | 67 | |
| 15 | 2015 | 61 | |
| 16 | 2012 | 57 | |
| 17 | 2013 | 56 | |
| 18 | 2001 | 52 | |
| 19 | 2014 | 51 | |
| 20 | 2005 | 45 |
About Jeff Leips
Jeff Leips is a scholar working on Aging, Ecology, Evolution, Behavior and Systematics, Genetics, Immunology and Cell Biology, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Animal Behavior and Reproduction (13 papers), Evolution and Genetic Dynamics (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Invertebrate Immune Response Mechanisms (6 papers), Avian ecology and behavior (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (370 citations), Immunology (759 citations), Ecology, Evolution, Behavior and Systematics (581 citations), Genetics (644 citations) and Cellular and Molecular Neuroscience (184 citations). Jeff Leips has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Trudy F. C. Mackay, Joseph Travis, Suzanne Ostrand‐Rosenberg, Virginia K. Clements, Stephanie K. Bunt, Pratima Sinha, Linglin Yang, Kimberly A. Hughes, F. Helen Rodd and Sergey V. Nuzhdin. Their work appears in journals such as Genetics, Evolution, Aging Cell, Ornithological Applications and Ecology.
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.