Tom Evans

6.5k citations
90 papers · 4.9k indexed · 1 hit paper · h-index 35

Tom Evans

88 papers receiving 4.7k citations

Hit Papers

Cyclin: A protein specified by maternal mRNA in sea urchi...1.1k19832026199720112505007501000

Peers

Tom Evans
Comparison fields: 5 of 153
  • Immunology 914
  • Physiology 1.1k
  • Biochemistry 288
  • Cell Biology 590
  • Endocrinology 138
Replace Kazunori Shimada with:
Kazunori Shimada Japan
Donald L. Granger United States
Paola Matarrese Italy
Joo‐Heon Yoon South Korea
J.M. Daly United States
Ira M. Goldstein United States
Robert A. Edwards United States
Michael B. Fessler United States
Alain Vandewalle France
David Allan Canada
Tom Evans relative to Kazunori Shimada Japan Kazunori Shimada's profile →
Citations per field
00.5×1.5×2.2×
Kazunori Shimada · 1×
Citations per year

Countries citing papers authored by Tom Evans

Since Specialization
Citations

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

Fields of papers citing papers by Tom Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tom Evans, 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 Evans Line = papers co-authored together Tom Evans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201715
2 201456
3 201210
4 201053
5 200727
6 200650
7 200229
8 200035
9 20008
10
Inflammatory bowel disease in Scottish children.
19997
11 199917
12 19988
13 199767
14 199647
15 19967
16 1995141
17 199544
18 1994140
19 199438
20 199114

About Tom Evans

Tom Evans is a scholar working on Immunology, Endocrinology and Developmental Neuroscience, having authored 90 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (13 papers), Nitric Oxide and Endothelin Effects (12 papers), Immune Response and Inflammation (11 papers), Streptococcal Infections and Treatments (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Pneumonia and Respiratory Infections (5 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Immunology (914 citations), Physiology (1.1k citations) and Biochemistry (288 citations). Tom Evans has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Eric T. Rosenthal, Tim Hunt, Daniel L. Distel, A Carpenter, J. Cohen, Lee Buttery, J. M. Polak, D.R. Springall, Neil Ritchie and Jonathan Cohen. Their work appears in journals such as Archives of Disease in Childhood, Journal of Pediatric Gastroenterology and Nutrition, Infection and Immunity, The Journal of Immunology and Journal of Biological Chemistry.

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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