F. McNeilly

9.4k total citations
100 papers, 7.3k citations indexed

About

F. McNeilly is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, F. McNeilly has authored 100 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Animal Science and Zoology, 68 papers in Infectious Diseases and 43 papers in Genetics. Recurrent topics in F. McNeilly's work include Animal Virus Infections Studies (89 papers), Viral gastroenteritis research and epidemiology (64 papers) and Virus-based gene therapy research (43 papers). F. McNeilly is often cited by papers focused on Animal Virus Infections Studies (89 papers), Viral gastroenteritis research and epidemiology (64 papers) and Virus-based gene therapy research (43 papers). F. McNeilly collaborates with scholars based in United Kingdom, Canada and United States. F. McNeilly's co-authors include Gordon Allan, Brian Meehan, S. Kennedy, Steven Krakowka, John A. Ellis, B. M. Adair, Deborah M. Haines, John Ellis, M. S. McNulty and Edward G. Clark and has published in prestigious journals such as Nature, Journal of Virology and Journal of General Virology.

In The Last Decade

F. McNeilly

100 papers receiving 7.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. McNeilly United Kingdom 43 6.6k 5.2k 4.0k 2.3k 643 100 7.3k
Gordon Allan United Kingdom 51 8.4k 1.3× 6.9k 1.3× 5.0k 1.3× 3.1k 1.3× 1.2k 1.8× 154 9.8k
Anette Bøtner Denmark 40 3.2k 0.5× 3.2k 0.6× 2.0k 0.5× 1.0k 0.5× 187 0.3× 133 4.8k
Kurt Rossow United States 34 3.3k 0.5× 3.3k 0.6× 1.9k 0.5× 525 0.2× 843 1.3× 67 4.4k
G. Wensvoort Czechia 36 3.2k 0.5× 3.1k 0.6× 2.1k 0.5× 1.5k 0.6× 186 0.3× 57 5.1k
B. M. Adair United Kingdom 30 2.1k 0.3× 1.8k 0.3× 1.3k 0.3× 708 0.3× 561 0.9× 99 3.0k
W. L. Mengeling United States 34 2.4k 0.4× 2.1k 0.4× 1.6k 0.4× 460 0.2× 453 0.7× 119 3.1k
Tomasz Stadejek Poland 30 2.9k 0.4× 2.4k 0.5× 1.9k 0.5× 982 0.4× 88 0.1× 89 3.6k
Kegong Tian China 34 1.9k 0.3× 2.2k 0.4× 1.3k 0.3× 663 0.3× 599 0.9× 89 3.5k
P. S. Paul United States 26 2.4k 0.4× 2.3k 0.4× 1.7k 0.4× 425 0.2× 263 0.4× 59 3.0k
Xutao Deng United States 32 1.9k 0.3× 2.2k 0.4× 1.1k 0.3× 568 0.2× 857 1.3× 113 3.7k

Countries citing papers authored by F. McNeilly

Since Specialization
Citations

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

Fields of papers citing papers by F. McNeilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. McNeilly

This figure shows the co-authorship network connecting the top 25 collaborators of F. McNeilly. A scholar is included among the top collaborators of F. McNeilly 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 F. McNeilly. F. McNeilly 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.
Menzies, F. D., J. Gloster, Laura Burgin, et al.. (2011). Risk assessment, targeted surveillance and policy formulation: practical experiences with bluetongue.. 113–115. 2 indexed citations
2.
Todd, Daniel A., et al.. (2010). Development and application of an RT-PCR test for detecting avian nephritis virus. Avian Pathology. 39(3). 207–213. 24 indexed citations
3.
Fernandes, Lana Teixeira, Enric Mateu, Marina Sibila, et al.. (2007). Lack of In Vitro and In Vivo Effects of Lipopolysaccharide on Porcine Circovirus Type 2 Infection. Viral Immunology. 20(4). 541–552. 14 indexed citations
4.
Stevenson, Leanne, D.F. Gilpin, Alastair Douglas, et al.. (2007). T Lymphocyte Epitope Mapping of Porcine Circovirus Type 2. Viral Immunology. 20(3). 389–398. 20 indexed citations
5.
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
6.
Hjertner, Bernt, Brian Meehan, John McKillen, F. McNeilly, & Sándor Bélak. (2004). Adaptation of an Invader® assay for the detection of African swine fever virus DNA. Journal of Virological Methods. 124(1-2). 1–10. 20 indexed citations
7.
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
8.
Gilpin, D.F., Kenneth C. McCullough, Brian Meehan, et al.. (2003). In vitro studies on the infection and replication of porcine circovirus type 2 in cells of the porcine immune system. Veterinary Immunology and Immunopathology. 94(3-4). 149–161. 103 indexed citations
9.
Núñez, Alejandro, F. McNeilly, P.J. Sánchez-Cordón, et al.. (2003). Coinfection by Cryptosporidium  parvum and Porcine Circovirus Type 2 in Weaned Pigs. Journal of Veterinary Medicine Series B. 50(5). 255–258. 35 indexed citations
10.
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
11.
Nielsen, Jens Peter, et al.. (2001). A field case of transplacental infection with PCV-2 associated with reproductive failure. Veterinary Record. 148. 759–760. 1 indexed citations
12.
Nauwynck, Hans, et al.. (2001). Porcine circovirus 2 infection in swine foetuses inoculated at different stages of gestation. Veterinary Microbiology. 83(2). 169–176. 85 indexed citations
13.
Allan, Gordon, F. McNeilly, S. Kennedy, et al.. (2000). Immunostimulation, PCV-2 [porcine circovirus] and PMWS [porcine wasting syndrome].. Veterinary Record. 147(6). 170–171. 2 indexed citations
14.
Rosell, C., Joaquím Segalés, Juan Plana-Durán, et al.. (1999). Pathological, Immunohistochemical, and In-situ Hybridization Studies of Natural Cases of Postweaning Multisystemic Wasting Syndrome (PMWS) in Pigs. Journal of Comparative Pathology. 120(1). 59–78. 338 indexed citations
15.
16.
Allan, Gordon, F. McNeilly, J.C. Foster, & B. M. Adair. (1994). Infection of leucocyte cell cultures derived from different species with pig circovirus. Veterinary Microbiology. 41(3). 267–279. 43 indexed citations
17.
Trudgett, Alan, et al.. (1991). Analysis of a seal and a porpoise morbillivirus using monoclonal antibodies. Veterinary Record. 128(3). 61–61. 23 indexed citations
18.
McNeilly, F., et al.. (1991). Biological characterisation of Australian isolates of chicken anaemia agent. Australian Veterinary Journal. 68(6). 199–201. 16 indexed citations
19.
McNulty, M. S., et al.. (1990). Influence of virus dose on experimental anaemia due to chicken anaemia agent. Avian Pathology. 19(1). 167–171. 22 indexed citations
20.
McNulty, M. S., T.J. Connor, & F. McNeilly. (1989). A survey of specific pathogen‐free chicken flocks for antibodies to chicken anaemia agent, avian nephritis virus and group a rotavirus. Avian Pathology. 18(2). 215–220. 49 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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