Tom J. Little

7.4k total citations
91 papers, 5.0k citations indexed

About

Tom J. Little is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Tom J. Little has authored 91 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Genetics, 29 papers in Public Health, Environmental and Occupational Health and 25 papers in Immunology. Recurrent topics in Tom J. Little's work include Evolution and Genetic Dynamics (48 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers) and Invertebrate Immune Response Mechanisms (18 papers). Tom J. Little is often cited by papers focused on Evolution and Genetic Dynamics (48 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers) and Invertebrate Immune Response Mechanisms (18 papers). Tom J. Little collaborates with scholars based in United Kingdom, Switzerland and United States. Tom J. Little's 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 and has published in prestigious journals such as Nature Medicine, Nature Immunology and PLoS ONE.

In The Last Decade

Tom J. Little

91 papers receiving 4.9k citations

Peers

Tom J. Little

GENET

IMMUN

ECOLO

PHEOH

Joachim Kurtz Germany

Jens Rolff Germany

Nick Colegrave United Kingdom

Jeffrey R. Powell United States

Paul W. Ewald United States

Francis M. Jiggins United Kingdom

Lars Råberg Sweden

Michael T. Siva‐Jothy United Kingdom

Kayla C. King United Kingdom

Minus van Baalen France

Joachim Kurtz Germany

Tom J. Little

1.3k ×0.6

GENET

1.8k ×1.3

2.6k ×2.0

IMMUN

1.4k ×1.1

ECOLO

536 ×0.5

PHEOH

Citations per year, relative to Tom J. Little Tom J. Little (= 1×) peers Joachim Kurtz

Countries citing papers authored by Tom J. Little

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tom J. Little

This figure shows the co-authorship network connecting the top 25 collaborators of Tom J. Little. A scholar is included among the top collaborators of Tom J. Little based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom J. Little. Tom J. Little is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Joseph, Susan, et al.. (2024). Epigenetic age estimation of wild mice using faecal samples. Molecular Ecology. 33(8). e17330–e17330. 5 indexed citations

Hearn, Jack, et al.. (2021). DNA methylation differs extensively between strains of the same geographical origin and changes with age in Daphnia magna. Epigenetics & Chromatin. 14(1). 4–4. 18 indexed citations

Hearn, Jack, Jessica Clark, P.J. Wilson, & Tom J. Little. (2020). Daphnia magna modifies its gene expression extensively in response to caloric restriction revealing a novel effect on haemoglobin isoform preference. Molecular Ecology. 29(17). 3261–3276. 6 indexed citations

Garbutt, Jennie S., et al.. (2014). The development of pathogen resistance in Daphnia magna : implications for disease spread in age-structured populations. Journal of Experimental Biology. 217(21). 3929–3934. 23 indexed citations

Little, Tom J.. (2013). 21st Century Learning and Progressive Education: An Intersection. DergiPark (Istanbul University). 25 indexed citations

Auld, Stuart K. J. R., Andrea L. Graham, P.J. Wilson, & Tom J. Little. (2012). Elevated haemocyte number is associated with infection and low fitness potential in wild Daphnia magna. Functional Ecology. 26(2). 434–440. 18 indexed citations

King, Kayla C., Stuart K. J. R. Auld, P.J. Wilson, J. Berian James, & Tom J. Little. (2012). The bacterial parasite Pasteuria ramosa is not killed if it fails to infect: implications for coevolution. Ecology and Evolution. 3(2). 197–203. 19 indexed citations

Vale, Pedro F., Alastair J. Wilson, Alex Best, Mike Boots, & Tom J. Little. (2011). Epidemiological, Evolutionary, and Coevolutionary Implications of Context-Dependent Parasitism. The American Naturalist. 177(4). 510–521. 76 indexed citations

Smith, Paul H., Jonathan Mwangi, Yaw A. Afrane, et al.. (2011). Alternative splicing of the Anopheles gambiae Dscam gene in diverse Plasmodium falciparum infections. Malaria Journal. 10(1). 156–156. 48 indexed citations

10.

Labbé, Pierrick, Pedro F. Vale, & Tom J. Little. (2010). Successfully resisting a pathogen is rarely costly in Daphnia magna. BMC Evolutionary Biology. 10(1). 355–355. 26 indexed citations

11.

Afrane, Yaw A., Tom J. Little, Bernard Walter Lawson, Andrew K. Githeko, & Guiyun Yan. (2008). Deforestation and Vectorial Capacity of Anopheles gambiae Giles Mosquitoes in Malaria Transmission, Kenya. Emerging infectious diseases. 14(10). 1533–1538. 102 indexed citations

12.

Anderson, S.I., Alan Archibald, Susan Rhind, et al.. (2008). An animal model to evaluate the function and regulation of the adaptively evolving stress protein SEP53 in oesophageal bile damage responses. Cell Stress and Chaperones. 13(3). 375–385. 9 indexed citations

13.

Obbard, Darren J., Francis M. Jiggins, Daniel L. Halligan, & Tom J. Little. (2006). Natural Selection Drives Extremely Rapid Evolution in Antiviral RNAi Genes. Current Biology. 16(6). 580–585. 221 indexed citations

14.

Jensen, Knut Helge, Tom J. Little, Arne Skorping, & Dieter Ebert. (2006). Empirical Support for Optimal Virulence in a Castrating Parasite. PLoS Biology. 4(7). e197–e197. 123 indexed citations

15.

Wedekind, Claus, Mirjam Walker, & Tom J. Little. (2006). The separate and combined effects of MHC genotype, parasite clone, and host gender on the course of malaria in mice. BMC Genetics. 7(1). 55–55. 10 indexed citations

16.

Little, Tom J., et al.. (2005). A parasite-mediated life-history shift in Daphnia magna. Proceedings of the Royal Society B Biological Sciences. 272(1562). 505–509. 80 indexed citations

17.

West, Stuart A., et al.. (2004). Testing Small Clutch Size Models withDaphnia. The American Naturalist. 163(6). 880–887. 25 indexed citations

18.

Little, Tom J., et al.. (2003). Maternal Transfer of Strain-Specific Immunity in an Invertebrate. Current Biology. 13(6). 489–492. 270 indexed citations

19.

Little, Tom J., et al.. (1985). A Study of Alcohol and Drug Usage by Nine- Through Thirteen-Year-Old Children in Central Indiana.. Journal of alcohol and drug education. 30(3). 83–87. 3 indexed citations

20.

Little, Tom J.. (1965). High Dam at Aswan : the subjugation of the Nile. Methuen eBooks. 9 indexed citations

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.

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