D. F. Kelly
- Molecular Biology top 2%
- Infectious Diseases top 1%
- Immunology top 2%
- Food Science top 0.5%
- Genetics top 2%
- Co-authors
- Rustam AminovShaun ConwayImke MulderT. P. KingSven PetterssonEmmelie Å. JanssonGeorge GrantJamie I. D. Campbell
- Topics
- Veterinary Oncology Research (32 papers)Gut microbiota and health (19 papers)Animal Virus Infections Studies (13 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
D. F. Kelly
168 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 3.3k
- Infectious Diseases 1.4k
- Immunology 1.1k
- Food Science 1.0k
- Genetics 989
Countries citing papers authored by D. F. Kelly
This map shows the geographic impact of D. F. Kelly'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 D. F. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. F. Kelly more than expected).
Fields of papers citing papers by D. F. Kelly
This network shows the impact of papers produced by D. F. Kelly. 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 D. F. Kelly. The network helps show where D. F. Kelly may publish in the future.
Co-authorship network of co-authors of D. F. Kelly
This figure shows the co-authorship network connecting the top 25 collaborators of D. F. Kelly. A scholar is included among the top collaborators of D. F. Kelly 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 D. F. Kelly. D. F. Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effect of cryopreservation of peripheral blood mononuclear cells (PBMCs) on the variability of an antigen-specific memory B cell ELISpot: Variability of the memory B cell ELISpot assay. | 5 |
| 2 | 49 | |
| 3 | 161 | |
| 4 | 130 | |
| 5 | Cytokine network alterations in sera of Armenian patients with Familial Mediterranean fever: Abstracts of V International conference on Familial Mediterranean Fever and Systematic Autoinflammatory Diseases, Rome, Italy, 2008 | 1 |
| 6 | 29 | |
| 7 | 98 | |
| 8 | 25 | |
| 9 | 75 | |
| 10 | 19 | |
| 11 | 119 | |
| 12 | Jumping Through Hoops | 8 |
| 13 | 21 | |
| 14 | 11 | |
| 15 | 21 | |
| 16 | 44 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 7 |
About D. F. Kelly
D. F. Kelly is a scholar working on Equine, Small Animals and Microbiology, having authored 170 papers that have together received 7.2k indexed citations. Recurring topics across this work include Veterinary Oncology Research (32 papers), Gut microbiota and health (19 papers) and Animal Virus Infections Studies (13 papers). The work is most often cited by research in Equine (159 citations), Gastroenterology (437 citations) and Infectious Diseases (1.4k citations). D. F. Kelly has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Rustam Aminov, Shaun Conway, Imke Mulder, T. P. King, Sven Pettersson, Emmelie Å. Jansson, George Grant, Jamie I. D. Campbell, A. Coutts and C. J. Gaskell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and Nature Biotechnology.
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.