Tom Hill

667 citations
23 papers · 399 · h-index 11

Impact in

    • Insect symbiosis and bacterial influences
    • Entomopathogenic Microorganisms in Pest Control
    • Chromosomal and Genetic Variations

Papers in

    • Evolution and Genetic Dynamics 3
    • Genomic variations and chromosomal abnormalities 1
    • Genetic diversity and population structure 1
    • T-cell and B-cell Immunology 2

Tom Hill

20 papers receiving 396 citations

Peers

Tom Hill
Comparison fields: 5 of 31
  • Insect Science 82
  • Plant Science 122
  • Genetics 41
  • Microbiology 6
  • Immunology 18
Replace Tomas N. Generalovic with:
Tomas N. Generalovic United Kingdom
S. Raje Urs India
David Monnin France
Zhilong Wang China
Linus M. Gitonga Kenya
Tatyana Alikina Russia
Xuexia Miao China
S. N. Chatterjee India
Neil Leat South Africa
Antigoni Zacharopoulou Greece
Tom Hill relative to Tomas N. Generalovic United Kingdom Tomas N. Generalovic's profile →
Citations per field
00.5×5×10×15×21.7×
Tomas N. Generalovic · 1×
Citations per year

Countries citing papers authored by Tom Hill

Since Specialization
Citations

This map shows the geographic impact of Tom Hill'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 Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Hill more than expected).

Fields of papers citing papers by Tom Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Hill. 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 Hill. The network helps show where Tom Hill may publish in the future.

Co-authors

The 25 scholars most cited alongside Tom Hill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Hill Line = papers co-authored together Tom Hill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201578
2 201967
3 201651
4 201934
5 201922
6 201821
7 201920
8 201718
9 201717
10 202313
11 202011
12 202311
13 20219
14 20208
15 20216
16 20244
17 20254
18 20232
19 20242
20 20251

About Tom Hill

Tom Hill is a scholar working on Genetics, Immunology, Insect Science, Plant Science and Surgery, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Evolution and Genetic Dynamics (3 papers), Insect symbiosis and bacterial influences (2 papers), T-cell and B-cell Immunology (2 papers), Kawasaki Disease and Coronary Complications (2 papers), Genomic variations and chromosomal abnormalities (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Insect Science (82 citations), Plant Science (122 citations), Genetics (41 citations), Microbiology (6 citations) and Immunology (18 citations). Tom Hill has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Robert L. Unckless, Andrea J. Betancourt, Christian Schlötterer, Viola Nolte, Robert Kofler, Joanne R. Chapman, Jessamyn I. Perlmutter, Julien Martinez, Jason A. Metcalf and Francis M. Jiggins. Their work appears in journals such as G3 Genes Genomes Genetics, Molecular Biology and Evolution, Journal of Clinical Investigation, European Respiratory Journal and Arthritis & Rheumatology.

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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