E. Sergeant

45 papers receiving 669 citations

Peers

E. Sergeant
Comparison fields: 5 of 70
  • Agronomy and Crop Science 237
  • Small Animals 160
  • Microbiology 72
  • Epidemiology 332
  • Infectious Diseases 137
Replace Adriana Cortéz with:
Adriana Cortéz Brazil
P.A.J. Martin Australia
Nektarios D. Giadinis Greece
Simona Zoppi Italy
FC BALDOCK Australia
María José Cubero Pablo Spain
Alessia Libera Gazzonis Italy
Evelise Oliveira Telles Brazil
Andrés Delgado Gil Uruguay
Eran A. Raizman United States
E. Sergeant relative to Adriana Cortéz Brazil Adriana Cortéz's profile →
Citations per field
00.5×1.5×2.2×
Adriana Cortéz · 1×
Citations per year

Countries citing papers authored by E. Sergeant

Since Specialization
Citations

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

Fields of papers citing papers by E. Sergeant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200799
2 200075
3 201359
4 200336
5 200234
6 201332
7 201529
8 200828
9 201927
10 201127
11 198426
12 201524
13 201319
14 201617
15 201916
16 201014
17 199413
18 201513
19 201912
20 200912

About E. Sergeant

E. Sergeant is a scholar working on Epidemiology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Small Animals, having authored 50 papers that have together received 719 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (15 papers), Mycobacterium research and diagnosis (15 papers), Vector-Borne Animal Diseases (7 papers), Microbial infections and disease research (6 papers), Aquaculture disease management and microbiota (6 papers), Infectious Diseases and Mycology (5 papers), Plant Pathogenic Bacteria Studies (4 papers) and Ginseng Biological Effects and Applications (4 papers). The work is most often cited by research in Agronomy and Crop Science (237 citations), Small Animals (160 citations), Microbiology (72 citations), Epidemiology (332 citations) and Infectious Diseases (137 citations). E. Sergeant has collaborated with scholars based in Australia, Ireland and South Africa. Frequent co-authors include P.A.J. Martin, Richard J. Whittington, Simon J. More, Matthias Greiner, Angus Cameron, Kristen Barfod, D. J. Marshall, M.G. Garner, I.J. East and Ian B. Marsh. Their work appears in journals such as Preventive Veterinary Medicine, Australian Veterinary Journal, Aquaculture, Journal of Dairy Science and New Zealand Veterinary Journal.

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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