Tom J. Little
- Insect Science top 0.2%
- Insect symbiosis and bacterial influences 14
- Genetics top 0.5%
- Evolution and Genetic Dynamics 48
- Genetic diversity and population structure 17
- Immunology top 2%
- Invertebrate Immune Response Mechanisms 18
- Aquaculture disease management and microbiota 11
- Parasitology top 2%
- Ecology top 1%
-
- Mathematical and Theoretical Epidemiology and Ecology Models 20
-
- Evolutionary Game Theory and Cooperation 17
-
- Plant and animal studies 6
- Co-authors
- Dieter EbertAndrew F. ReadBrian P. LazzaroPedro F. ValeKathryn WattDarren J. ObbardAlex R. KraaijeveldNick Colegrave
- Cited by
- Insect ScienceGeneticsImmunology
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Tom J. Little
91 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 141
- Insect Science 1.3k
- Genetics 2.2k
- Immunology 1.3k
- Parasitology 322
- Ecology 1.2k
Countries citing papers authored by Tom J. Little
This map shows the geographic impact of Tom J. Little'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 Tom J. Little with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom J. Little more than expected).
Fields of papers citing papers by Tom J. Little
This network shows the impact of papers produced by Tom J. Little. 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 Tom J. Little. The network helps show where Tom J. Little may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom J. Little, 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 | 2024 | 5 | |
| 2 | 2021 | 18 | |
| 3 | 2020 | 6 | |
| 4 | 2014 | 23 | |
| 5 | 21st Century Learning and Progressive Education: An Intersection | 2013 | 25 |
| 6 | 2012 | 18 | |
| 7 | 2012 | 19 | |
| 8 | 2011 | 76 | |
| 9 | 2011 | 48 | |
| 10 | 2010 | 26 | |
| 11 | 2008 | 102 | |
| 12 | 2008 | 9 | |
| 13 | 2006 | 221 | |
| 14 | 2006 | 123 | |
| 15 | 2006 | 10 | |
| 16 | 2005 | 80 | |
| 17 | 2004 | 25 | |
| 18 | 2003 | 270 | |
| 19 | A Study of Alcohol and Drug Usage by Nine- Through Thirteen-Year-Old Children in Central Indiana. | 1985 | 3 |
| 20 | High Dam at Aswan : the subjugation of the Nile | 1965 | 9 |
About Tom J. Little
Tom J. Little is a scholar working on Genetics, Aging and Insect Science, having authored 91 papers that have together received 5.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (48 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Invertebrate Immune Response Mechanisms (18 papers), Evolutionary Game Theory and Cooperation (17 papers), Genetic diversity and population structure (17 papers), Insect symbiosis and bacterial influences (14 papers), Aquaculture disease management and microbiota (11 papers) and Plant and animal studies (6 papers). The work is most often cited by research in Insect Science (1.3k citations), Genetics (2.2k citations) and Immunology (1.3k citations). Tom J. Little has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Dieter Ebert, Andrew F. Read, Brian P. Lazzaro, Pedro F. Vale, Kathryn Watt, Darren J. Obbard, Alex R. Kraaijeveld, Nick Colegrave, Dan Hultmark and Francis M. Jiggins. Their work appears in journals such as Nature Medicine, Nature Immunology and PLoS ONE.
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.