Tyler C. Thacker

107 papers receiving 3.2k citations

Peers

Tyler C. Thacker
Comparison fields: 5 of 100
  • Infectious Diseases 2.2k
  • Microbiology 550
  • Epidemiology 1.8k
  • Virology 195
  • Agronomy and Crop Science 389
Replace H. Martin Vordermeier with:
H. Martin Vordermeier United Kingdom
Xianzhu Xia China
Joseph P. Cassidy Ireland
Sylvia van Drunen Littel‐van den Hurk Canada
Gregers Jungersen Denmark
Frank E. Aldwell New Zealand
Adam O. Whelan United Kingdom
Gourapura J. Renukaradhya United States
Eamonn Gormley Ireland
Susan L. Brockmeier United States
Tyler C. Thacker relative to H. Martin Vordermeier United Kingdom H. Martin Vordermeier's profile →
Citations per field
00.5×3.1×
H. Martin Vordermeier · 1×
Citations per year

Countries citing papers authored by Tyler C. Thacker

Since Specialization
Citations

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

Fields of papers citing papers by Tyler C. Thacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler C. Thacker. 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 Tyler C. Thacker. The network helps show where Tyler C. Thacker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010251
2 2009216
3 2006122
4 2008113
5 201098
6 200792
7 201292
8 201189
9 201185
10 200880
11 201073
12 200670
13 200466
14 200664
15 200764
16 201063
17 200760
18 200958
19 201157
20 201156

About Tyler C. Thacker

Tyler C. Thacker is a scholar working on Infectious Diseases, Epidemiology, Immunology, Microbiology and Molecular Biology, having authored 108 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (82 papers), Mycobacterium research and diagnosis (75 papers), Microbial infections and disease research (24 papers), Immune responses and vaccinations (12 papers), Immunotherapy and Immune Responses (7 papers), Infectious Diseases and Tuberculosis (7 papers), Immune Response and Inflammation (6 papers) and Diagnosis and treatment of tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Microbiology (550 citations), Epidemiology (1.8k citations), Virology (195 citations) and Agronomy and Crop Science (389 citations). Tyler C. Thacker has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Mitchell V. Palmer, W. Ray Waters, Konstantin P. Lyashchenko, H. Martin Vordermeier, Bryce M. Buddle, Beth Harris, Irene Schiller, Bruno Oesch, Javan Esfandiari and R. Glyn Hewinson. Their work appears in journals such as Clinical and Vaccine Immunology, Veterinary Immunology and Immunopathology, PLoS ONE, Frontiers in Veterinary Science and BMC Veterinary Research.

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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