Ken McCullough

858 total citations
22 papers, 563 citations indexed

About

Ken McCullough is a scholar working on Animal Science and Zoology, Immunology and Infectious Diseases. According to data from OpenAlex, Ken McCullough has authored 22 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Animal Science and Zoology, 9 papers in Immunology and 5 papers in Infectious Diseases. Recurrent topics in Ken McCullough's work include Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Cell Adhesion Molecules Research (5 papers). Ken McCullough is often cited by papers focused on Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Cell Adhesion Molecules Research (5 papers). Ken McCullough collaborates with scholars based in United Kingdom, United States and Switzerland. Ken McCullough's co-authors include Artur Summerfield, Gordon Allan, Jens Peter Nielsen, Isabelle Vincent, Martin Hofmann‐Apitius, F. McNeilly, Anette Bøtner, A.-S. Ladekjær-Mikkelsen, S. Martinod and Bernard Charley and has published in prestigious journals such as Journal of General Virology, Journal of Immunological Methods and The Veterinary Journal.

In The Last Decade

Ken McCullough

21 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken McCullough United Kingdom 13 316 233 176 160 143 22 563
Carlos P. Carrasco United Kingdom 9 337 1.1× 227 1.0× 206 1.2× 265 1.7× 204 1.4× 10 705
Rachael C. Rigden United Kingdom 7 127 0.4× 101 0.4× 74 0.4× 202 1.3× 144 1.0× 9 457
Stephanie C. Talker Switzerland 14 150 0.5× 121 0.5× 98 0.6× 261 1.6× 112 0.8× 20 536
Liisa Piirainen Finland 8 67 0.2× 183 0.8× 111 0.6× 86 0.5× 84 0.6× 14 514
C. Carrat France 11 381 1.2× 355 1.5× 202 1.1× 155 1.0× 72 0.5× 13 606
Filip Barbé Belgium 11 153 0.5× 137 0.6× 80 0.5× 86 0.5× 91 0.6× 11 361
Gayle B. Brown United States 5 126 0.4× 125 0.5× 92 0.5× 115 0.7× 81 0.6× 7 402
Sabine E. Essler Austria 13 127 0.4× 101 0.4× 116 0.7× 196 1.2× 66 0.5× 15 403
Xinsheng Liu China 12 135 0.4× 159 0.7× 69 0.4× 74 0.5× 54 0.4× 29 322
Karen L. Burke United Kingdom 10 56 0.2× 223 1.0× 91 0.5× 161 1.0× 108 0.8× 14 670

Countries citing papers authored by Ken McCullough

Since Specialization
Citations

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

Fields of papers citing papers by Ken McCullough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken McCullough

This figure shows the co-authorship network connecting the top 25 collaborators of Ken McCullough. A scholar is included among the top collaborators of Ken McCullough 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 Ken McCullough. Ken McCullough 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.
Krakowka, Steven, John Ellis, D. Michael Rings, et al.. (2015). THE PATHOGENESIS OF PCV-2-ASSOCIATED POSTWEANING MULTISYSTEMIC WASTING SYNDROME IN SWINE.
2.
Stevenson, Leanne, Ken McCullough, Isabelle Vincent, et al.. (2006). Cytokine and C-Reactive Protein Profiles Induced by Porcine Circovirus Type 2 Experimental Infection in 3-Week-Old Piglets. Viral Immunology. 19(2). 189–195. 51 indexed citations
3.
McCullough, Ken, et al.. (2004). Porcine circovirus as a possible cause of postweaning wasting in pigs in Switzerland. Schweizer Archiv für Tierheilkunde. 146(10). 461–469. 7 indexed citations
4.
Sydler, T., et al.. (2004). PMWS: an emerging disease identified in archived porcine tissues. The Veterinary Journal. 170(1). 132–134. 11 indexed citations
5.
McCullough, Ken. (2004). Four Poems. Mānoa/Mānoa. 16(1). 195–199. 1 indexed citations
6.
Nielsen, Jens Peter, Isabelle Vincent, Anette Bøtner, et al.. (2003). Association of lymphopenia with porcine circovirus type 2 induced postweaning multisystemic wasting syndrome (PMWS). Veterinary Immunology and Immunopathology. 92(3-4). 97–111. 113 indexed citations
7.
Summerfield, Artur, et al.. (2003). C-kit positive porcine bone marrow progenitor cells identified and enriched using recombinant stem cell factor. Journal of Immunological Methods. 280(1-2). 113–123. 23 indexed citations
8.
Krakowka, Steven, John A. Ellis, F. McNeilly, et al.. (2002). Immunologic Features of Porcine Circovirus Type 2 Infection. Viral Immunology. 15(4). 567–582. 70 indexed citations
9.
Thacker, E., Artur Summerfield, Ken McCullough, et al.. (2001). Summary of workshop findings for porcine myelomonocytic markers. Veterinary Immunology and Immunopathology. 80(1-2). 93–109. 39 indexed citations
10.
Allan, G., F. McNeilly, John Ellis, et al.. (2001). PMWS: experimental model and co-infections.. RMIT Research Repository (RMIT University Library). 79–80. 1 indexed citations
11.
Summerfield, Artur, Martin Hofmann‐Apitius, & Ken McCullough. (1998). Low density blood granulocytic cells induced during classical swine fever are targets for virus infection. Veterinary Immunology and Immunopathology. 63(3). 289–301. 53 indexed citations
12.
Saalmüller, Armin, Thomas H. Pauly, Bent Aasted, et al.. (1998). Summary of the first round analyses of the Second International Swine CD Workshop. Veterinary Immunology and Immunopathology. 60(3-4). 237–249. 10 indexed citations
13.
Domı́nguez, Javier, Ángel Ezquerra, Rosario Bullido, et al.. (1998). Workshop studies with monoclonal antibodies identifying a novel porcine differentiation antigen, SWC9. Veterinary Immunology and Immunopathology. 60(3-4). 343–349. 18 indexed citations
14.
Summerfield, Artur, et al.. (1997). Immunological stress assessment of repeated blood sampling in pigs. Immunology Letters. 56. 263–263. 1 indexed citations
15.
Summerfield, Artur & Ken McCullough. (1997). Porcine bone marrow cells: Phenotype and adhesion molecule expression. Immunology Letters. 56. 397–398. 1 indexed citations
16.
Blecha, Frank, Tammy Kielian, D. Scott McVey, et al.. (1994). Workshop studies on monoclonal antibodies reactive against porcine myeloid cells. Veterinary Immunology and Immunopathology. 43(1-3). 269–272. 37 indexed citations
17.
McCullough, Ken, et al.. (1990). Recombinant bovine interferon-alpha I 1 inhibits the migration of lymphocytes from lymph nodes but not into lymph nodes.. PubMed. 1(1). 56–61. 6 indexed citations
18.
Kalaaji, Amer N., Ken McCullough, & John B. Hay. (1989). The enhancement of lymphocyte localization in skin sites of sheep by tumor necrosis factor alpha. Immunology Letters. 23(2). 143–147. 14 indexed citations
19.
Picard, Frauke, et al.. (1989). Recombinant bovine interferon-gamma enhances expression of class I and class II bovine lymphocyte antigens. Veterinary Immunology and Immunopathology. 22(4). 379–383. 15 indexed citations
20.
Charley, Bernard, Ken McCullough, & S. Martinod. (1988). Antiviral and Antigenic Properties of Recombinant Porcine Interferon Gamma. Veterinary Immunology and Immunopathology. 19(2). 95–103. 32 indexed citations

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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