Pete Kaiser

12.1k total citations
168 papers, 7.6k citations indexed

About

Pete Kaiser is a scholar working on Immunology, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Pete Kaiser has authored 168 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Immunology, 72 papers in Animal Science and Zoology and 28 papers in Epidemiology. Recurrent topics in Pete Kaiser's work include Immune Response and Inflammation (45 papers), Animal Nutrition and Physiology (41 papers) and Animal Virus Infections Studies (26 papers). Pete Kaiser is often cited by papers focused on Immune Response and Inflammation (45 papers), Animal Nutrition and Physiology (41 papers) and Animal Virus Infections Studies (26 papers). Pete Kaiser collaborates with scholars based in United Kingdom, United States and Australia. Pete Kaiser's co-authors include Lisa Rothwell, Michael H. Kogut, Paul Wigley, Paul Barrow, S. Shini, A. Shini, Zhiguang Wu, John R. Young, Nat Bumstead and Fred Davison and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Pete Kaiser

167 papers receiving 7.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pete Kaiser United Kingdom 49 3.6k 2.8k 1.4k 1.3k 1.3k 168 7.6k
Erik P. Lillehoj United States 53 3.4k 0.9× 1.6k 0.6× 493 0.4× 687 0.5× 874 0.7× 172 8.0k
Nat Bumstead United Kingdom 38 1.7k 0.5× 1.7k 0.6× 840 0.6× 934 0.7× 534 0.4× 90 4.6k
Marcus E. Kehrli United States 52 1.6k 0.5× 2.6k 0.9× 623 0.4× 1.0k 0.8× 1.0k 0.8× 180 8.2k
Paul Barrow United Kingdom 62 3.2k 0.9× 2.4k 0.9× 7.8k 5.6× 490 0.4× 3.8k 2.9× 242 12.1k
Chan Ding China 40 1.3k 0.4× 1.6k 0.6× 321 0.2× 2.2k 1.7× 1.3k 1.0× 306 6.9k
Huaijun Zhou United States 44 2.0k 0.6× 1.1k 0.4× 664 0.5× 769 0.6× 635 0.5× 161 5.6k
Joan K. Lunney United States 46 3.0k 0.8× 2.4k 0.8× 224 0.2× 790 0.6× 2.3k 1.8× 198 8.2k
Bernd Kaspers Germany 41 1.1k 0.3× 1.8k 0.6× 287 0.2× 1.4k 1.0× 773 0.6× 124 4.3k
Jens Peter Christensen Denmark 41 1.1k 0.3× 479 0.2× 911 0.7× 704 0.5× 1.1k 0.9× 168 5.7k
Paul Wigley United Kingdom 41 1.9k 0.5× 1.0k 0.4× 3.0k 2.2× 267 0.2× 1.4k 1.0× 96 4.8k

Countries citing papers authored by Pete Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Pete Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Kaiser

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Kaiser. A scholar is included among the top collaborators of Pete Kaiser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pete Kaiser. Pete Kaiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kaiser, Michael G., et al.. (2021). Differential immunological response detected in mRNA expression profiles among diverse chicken lines in response to Salmonella challenge. Poultry Science. 101(2). 101605–101605. 7 indexed citations
3.
Hu, Tuanjun, Zhiguang Wu, Stephen J. Bush, et al.. (2019). Characterization of Subpopulations of Chicken Mononuclear Phagocytes That Express TIM4 and CSF1R. The Journal of Immunology. 202(4). 1186–1199. 29 indexed citations
4.
Boulton, Kay, Matthew J. Nolan, Zhiguang Wu, et al.. (2018). Dissecting the Genomic Architecture of Resistance to Eimeria maxima Parasitism in the Chicken. Frontiers in Genetics. 9. 528–528. 20 indexed citations
5.
Bettridge, Judy, Androniki Psifidi, Zelalem Terfa, et al.. (2018). The role of local adaptation in sustainable production of village chickens. Nature Sustainability. 1(10). 574–582. 48 indexed citations
6.
REID, WILLIAM D., Andrew Close, Suzanne Humphrey, et al.. (2016). Cytokine responses in birds challenged with the human food-borne pathogenCampylobacter jejuniimplies a Th17 response. Royal Society Open Science. 3(3). 150541–150541. 37 indexed citations
7.
Rothwell, Lisa, et al.. (2012). Development of reagents to study the turkey's immune response: Cloning and characterisation of two turkey cytokines, interleukin (IL)-10 and IL-13. Veterinary Immunology and Immunopathology. 147(1-2). 97–103. 8 indexed citations
8.
Gibson, Mark S., Pete Kaiser, & Mark Fife. (2009). Identification of Chicken Granulocyte Colony-Stimulating Factor (G-CSF/CSF3): The Previously Described Myelomonocytic Growth Factor Is Actually CSF3. Journal of Interferon & Cytokine Research. 29(6). 339–344. 15 indexed citations
9.
Kaiser, Pete, Jean-Rémy Sadeyen, N. Salmon, et al.. (2008). Integrated Immunogenomics in the Chicken: Deciphering the Immune Response to Identify Disease Resistance Genes. PubMed. 132. 57–66. 17 indexed citations
10.
Wu, Zhiguang, Lisa Rothwell, Tuanjun Hu, & Pete Kaiser. (2008). Chicken CD14, unlike mammalian CD14, is trans-membrane rather than GPI-anchored. Developmental & Comparative Immunology. 33(1). 97–104. 27 indexed citations
11.
Eldaghayes, Ibrahim, Lisa Rothwell, Andrew E. Williams, et al.. (2006). Infectious Bursal Disease Virus: Strains That Differ in Virulence Differentially Modulate the Innate Immune Response to Infection in the Chicken Bursa. Viral Immunology. 19(1). 83–91. 133 indexed citations
12.
Kaiser, Pete, Tuang Yeow Poh, Lisa Rothwell, et al.. (2005). A Genomic Analysis of Chicken Cytokines and Chemokines. Journal of Interferon & Cytokine Research. 25(8). 467–484. 179 indexed citations
13.
14.
Rothwell, Lisa, John R. Young, Rima Zoorob, et al.. (2004). Cloning and Characterization of Chicken IL-10 and Its Role in the Immune Response to Eimeria maxima. The Journal of Immunology. 173(4). 2675–2682. 265 indexed citations
15.
Balu, Sucharitha & Pete Kaiser. (2003). Avian interleukin-12β (p40); cloning and characterisation of the cDNA and gene. Journal of Interferon & Cytokine Research. 699–707. 4 indexed citations
16.
Kogut, Michael H., Lisa Rothwell, & Pete Kaiser. (2003). Differential Regulation of Cytokine Gene Expression by Avian Heterophils During Receptor-Mediated Phagocytosis of Opsonized and Nonopsonized Salmonella enteritidis. Journal of Interferon & Cytokine Research. 23(6). 319–327. 102 indexed citations
17.
Balu, Sucharitha & Pete Kaiser. (2003). Avian Interleukin-12β (p40): Cloning and Characterization of the cDNA and Gene. Journal of Interferon & Cytokine Research. 23(12). 699–707. 31 indexed citations
18.
Kaiser, Pete, Lisa Rothwell, Dušan Vašíček, & Karel Hála. (2002). A Role for IL-15 in Driving the Onset of Spontaneous Autoimmune Thyroiditis?. The Journal of Immunology. 168(8). 4216–4220. 32 indexed citations
19.
Lawson, Michelle A., Lisa Rothwell, & Pete Kaiser. (2000). Turkey and Chicken Interleukin-2 Cross-React in In Vitro Proliferation Assays Despite Limited Amino Acid Sequence Identity. Journal of Interferon & Cytokine Research. 20(2). 161–170. 35 indexed citations
20.

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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