M.G. Garner

1.9k citations
55 papers · 1.4k indexed · h-index 23

M.G. Garner

55 papers receiving 1.4k citations

Peers

M.G. Garner
Comparison fields: 5 of 106
  • Agronomy and Crop Science 977
  • Ecology, Evolution, Behavior and Systematics 633
  • Small Animals 198
  • Modeling and Simulation 107
  • Cardiology and Cardiovascular Medicine 343
Replace Timothée Vergne with:
Timothée Vergne France
L. M. Mansley United Kingdom
Thibaud Porphyre United Kingdom
Daniel Beltrán‐Alcrudo Italy
Moh A. Alkhamis Kuwait
R.L. Sanson New Zealand
Keith Sumption United Kingdom
Marta Martínez‐Avilés Spain
Eefke Weesendorp Netherlands
Irene Iglesias Spain
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Citations per field
00.5×3.3×
Timothée Vergne · 1×
Citations per year

Countries citing papers authored by M.G. Garner

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Garner. 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 M.G. Garner. The network helps show where M.G. Garner may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201812
2 201816
3 201621
4 201559
5 201311
6 201344
7 201331
8 201216
9 201233
10 201158
11 201130
12 200951
13 200931
14 20081
15 20079
16 200595
17 200221
18 200138
19 200056
20 19988

About M.G. Garner

M.G. Garner is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Small Animals, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (47 papers), Vector-Borne Animal Diseases (32 papers), Viral Infections and Immunology Research (14 papers), Animal Behavior and Welfare Studies (8 papers), Zoonotic diseases and public health (8 papers), Influenza Virus Research Studies (6 papers), Viral Infections and Vectors (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Agronomy and Crop Science (977 citations), Ecology, Evolution, Behavior and Systematics (633 citations), Small Animals (198 citations), Modeling and Simulation (107 citations) and Cardiology and Cardiovascular Medicine (343 citations). M.G. Garner has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include I.J. East, Sharon Roche, Michael P. Ward, GLENN HESS, X. B. Yang, Mark A. Stevenson, Barbara Moloney, Robert M. Cannon, R.L. Sanson and Caroline Dubé. Their work appears in journals such as Australian Veterinary Journal, Preventive Veterinary Medicine, Revue Scientifique et Technique de l OIE, Environmental Modeling & Assessment and Epidemiology and Infection.

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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