I.G. Wright

112 papers receiving 2.5k citations

Peers

I.G. Wright
Comparison fields: 5 of 88
  • Parasitology 1.9k
  • Ecology, Evolution, Behavior and Systematics 875
  • Immunology 681
  • Infectious Diseases 598
  • Insect Science 388
Replace B. V. Goodger with:
B. V. Goodger Australia
W. Ivan Morrison Kenya
Antony Jim Musoke Kenya
Marc‐Jan Gubbels United States
Will L. Goff United States
Gerald Μ. Buening United States
C.G.D. Brown United Kingdom
Leonhard Schnittger Argentina
A.J. Musoke Kenya
Theo P. M. Schetters Netherlands
I.G. Wright relative to B. V. Goodger Australia B. V. Goodger's profile →
Citations per field
00.5×5×10×16×
B. V. Goodger · 1×
Citations per year

Countries citing papers authored by I.G. Wright

Since Specialization
Citations

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

Fields of papers citing papers by I.G. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017267
2 2021114
3 1992106
4
Veterinary Protozoan and Hemoparasite Vaccines
1989102
5 197688
6 197387
7 198875
8 197970
9 198366
10 199366
11 197260
12 198759
13 197955
14 198146
15 199045
16 197345
17 198944
18 198140
19 198538
20 198737

About I.G. Wright

I.G. Wright is a scholar working on Parasitology, Immunology, Ecology, Evolution, Behavior and Systematics, Insect Science and Infectious Diseases, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (74 papers), Vector-Borne Animal Diseases (34 papers), Toxin Mechanisms and Immunotoxins (33 papers), Insect and Pesticide Research (17 papers), Viral Infections and Vectors (15 papers), Insect Pest Control Strategies (11 papers), Malaria Research and Control (9 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Parasitology (1.9k citations), Ecology, Evolution, Behavior and Systematics (875 citations), Immunology (681 citations), Infectious Diseases (598 citations) and Insect Science (388 citations). I.G. Wright has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include B. V. Goodger, Diane Feeney Mahoney, D.J. Waltisbuhl, G.B. Mirre, M.A. Commins, J.D. Kerr, Ian A. Clark, Brian Paul Dalrymple, K. R. Gale and Melissa A. White. Their work appears in journals such as Parasitology Research, International Journal for Parasitology, Veterinary Parasitology, Research in Veterinary Science and Molecular and Biochemical Parasitology.

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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