Ken McCullough
- Animal Science and Zoology top 2%
- Infectious Diseases top 10%
- Genetics
- Immunology
- Agronomy and Crop Science top 5%
- Co-authors
- Artur SummerfieldGordon AllanJens Peter NielsenIsabelle VincentMartin Hofmann‐ApitiusF. McNeillyAnette BøtnerA.-S. Ladekjær-Mikkelsen
- Topics
- Animal Virus Infections Studies (9 papers)Viral gastroenteritis research and epidemiology (5 papers)Cell Adhesion Molecules Research (5 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ken McCullough
21 papers receiving 534 citations
Peers
Comparison fields: 5 of 53
- Animal Science and Zoology 316
- Infectious Diseases 233
- Genetics 176
- Immunology 160
- Agronomy and Crop Science 143
Countries citing papers authored by Ken McCullough
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | THE PATHOGENESIS OF PCV-2-ASSOCIATED POSTWEANING MULTISYSTEMIC WASTING SYNDROME IN SWINE | 0 |
| 2 | 51 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 113 | |
| 7 | 23 | |
| 8 | 70 | |
| 9 | 39 | |
| 10 | PMWS: experimental model and co-infections. | 1 |
| 11 | 53 | |
| 12 | 10 | |
| 13 | 18 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | Recombinant bovine interferon-alpha I 1 inhibits the migration of lymphocytes from lymph nodes but not into lymph nodes. | 6 |
| 18 | 14 | |
| 19 | 15 | |
| 20 | 32 |
About Ken McCullough
Ken McCullough is a scholar working on Animal Science and Zoology, Immunology and Allergy and Immunology, having authored 22 papers that have together received 563 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Animal Science and Zoology (316 citations), Agronomy and Crop Science (143 citations) and Infectious Diseases (233 citations). Ken McCullough has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent 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. Their work appears in journals such as Journal of General Virology, Journal of Immunological Methods and The Veterinary Journal.
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.