Gary A. Splitter

6.3k citations
173 papers · 5.3k indexed · h-index 41

Gary A. Splitter

171 papers receiving 5.1k citations

Peers

Gary A. Splitter
Comparison fields: 5 of 128
  • Small Animals 2.3k
  • Endocrinology 837
  • Immunology 2.4k
  • Agronomy and Crop Science 573
  • Epidemiology 1.5k
Replace Jean‐Jacques Letesson with:
Jean‐Jacques Letesson Belgium
N. F. Cheville United States
Carlos A. Fossati Argentina
Thomas A. Ficht United States
Tatiane A. Paíxão Brazil
Guillermo H. Giambartolomei Argentina
David O’Callaghan France
Henk L. Smits Netherlands
Esteban Chaves‐Olarte Costa Rica
Brør Morein Sweden
Gary A. Splitter relative to Jean‐Jacques Letesson Belgium Jean‐Jacques Letesson's profile →
Citations per field
00.5×1.5×
Jean‐Jacques Letesson · 1×
Citations per year

Countries citing papers authored by Gary A. Splitter

Since Specialization
Citations

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

Fields of papers citing papers by Gary A. Splitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20186
2 201414
3 201411
4 201246
5 2007202
6 200627
7 200380
8 20021
9 200241
10 200144
11 199641
12
Infectious bovine rhinotracheitis (bovine herpesvirus 1) : helper T cells, cytotoxic T cells, and NK cells
19949
13 19912
14 199194
15 199013
16
Bovine naturally cytolytic cell activation against bovine herpes virus type 1-infected cells does not require late viral glycoproteins.
198915
17 198819
18 19723
19 19723
20 19723

About Gary A. Splitter

Gary A. Splitter is a scholar working on Small Animals, Endocrinology, Immunology, Microbiology and Agronomy and Crop Science, having authored 173 papers that have together received 5.3k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (61 papers), T-cell and Retrovirus Studies (37 papers), Escherichia coli research studies (28 papers), T-cell and B-cell Immunology (26 papers), Immunotherapy and Immune Responses (24 papers), Herpesvirus Infections and Treatments (24 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and Galectins and Cancer Biology (21 papers). The work is most often cited by research in Small Animals (2.3k citations), Endocrinology (837 citations), Immunology (2.4k citations), Agronomy and Crop Science (573 citations) and Epidemiology (1.5k citations). Gary A. Splitter has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Sérgio C. Oliveira, Jerome S. Harms, Jinkyung Ko, Linda Eskra, Girish Radhakrishnan, Gireesh Rajashekara, Dohun Pyeon, William C. Davis, Kathy L. O’Reilly and Erik Petersen. Their work appears in journals such as Veterinary Immunology and Immunopathology, Infection and Immunity, Journal of Virology, Cellular Immunology and The Journal of Immunology.

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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