E. A. Gault

1.4k citations
39 papers · 1.1k indexed · h-index 19

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Virology top 10%

Papers in

E. A. Gault

38 papers receiving 1.1k citations

Peers

E. A. Gault
Comparison fields: 5 of 84
  • Aging 111
  • Virology 79
  • Microbiology 94
  • Small Animals 109
  • Physiology 337
Replace G.B. Anderson with:
G.B. Anderson United States
David B. Guiliano United Kingdom
Arnaud J. Van Wettere United States
Leonardo Della Salda Italy
William G. Banfield United States
Olivier Croce France
Michael R. Loomis United States
J. Greenwood United States
Patty Zwollo United States
Laura K. Sycuro United States
E. A. Gault relative to G.B. Anderson United States G.B. Anderson's profile →
Citations per field
00.5×8.5×
G.B. Anderson · 1×
Citations per year

Countries citing papers authored by E. A. Gault

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Gault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Gault. 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 E. A. Gault. The network helps show where E. A. Gault may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201028
2 200911
3 20073
4 20075
5 200615
6 200637
7 200639
8 200639
9 20059
10 20057
11 200412
12 200421
13 20042
14 200344
15 20005
16 20005
17 199830
18 199710
19 199415
20 199319

About E. A. Gault

E. A. Gault is a scholar working on Small Animals, Microbiology, Genetics, Immunology and Allergy and Animal Science and Zoology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Veterinary Oncology Research (13 papers), Virus-based gene therapy research (12 papers), Telomeres, Telomerase, and Senescence (10 papers), Microbial infections and disease research (5 papers), Cancer Research and Treatments (3 papers), Cervical Cancer and HPV Research (3 papers), RNA Interference and Gene Delivery (3 papers) and Infectious Diseases and Mycology (3 papers). The work is most often cited by research in Aging (111 citations), Virology (79 citations), Microbiology (94 citations), Small Animals (109 citations) and Physiology (337 citations). E. A. Gault has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lubna Nasir, Pat Monaghan, M. Saveria Campo, L. Nasir, Zhengqiang Yuan, Christopher Foote, D. J. Argyle, Pierre Bize, Neil B. Metcalfe and Kate Griffiths. Their work appears in journals such as Journal of General Virology, Veterinary and Comparative Oncology, Virus Research, Gene and Veterinary Immunology and Immunopathology.

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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