Neil Wilkie
- Epidemiology top 1%
- Molecular Biology top 5%
- Genetics top 1%
- Immunology top 2%
- Oncology top 5%
- Co-authors
- Demetrios�� SpandidosAndrew J. DavisonN. D. StowJ. Barklie ClementsM. C. TimburyRoger J. WatsonH. S. MarsdenV. G. Preston
- Topics
- Herpesvirus Infections and Treatments (30 papers)Virus-based gene therapy research (19 papers)Cytomegalovirus and herpesvirus research (11 papers)
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- United KingdomSlovakiaUnited States
In The Last Decade
Neil Wilkie
78 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 118
- Epidemiology 2.2k
- Molecular Biology 2.0k
- Genetics 1.5k
- Immunology 1.1k
- Oncology 869
Countries citing papers authored by Neil Wilkie
This map shows the geographic impact of Neil Wilkie'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 Neil Wilkie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Wilkie more than expected).
Fields of papers citing papers by Neil Wilkie
This network shows the impact of papers produced by Neil Wilkie. 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 Neil Wilkie. The network helps show where Neil Wilkie may publish in the future.
Co-authorship network of co-authors of Neil Wilkie
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Wilkie. A scholar is included among the top collaborators of Neil Wilkie 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 Neil Wilkie. Neil Wilkie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 11 | |
| 3 | 99 | |
| 4 | 274 | |
| 5 | 39 | |
| 6 | 4 | |
| 7 | 46 | |
| 8 | 13 | |
| 9 | Increased in vitro and in vivo tumoricidal activity of a macrophage cell line genetically engineered to express IFN-gamma, IL-4, IL-6, or TNF-alpha. | 15 |
| 10 | 14 | |
| 11 | The FGF-4 promoter is required for transformation and is active in both embryonal and somatic cells. | 4 |
| 12 | 1 | |
| 13 | 394 | |
| 14 | A novel in vitro assay for murine haematopoietic stem cells. | 8 |
| 15 | 7 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 11 | |
| 19 | 25 | |
| 20 | Physical mapping of genes and crossover events by analysis of herpes simplex virus inter typic recombinants | 1 |
About Neil Wilkie
Neil Wilkie is a scholar working on Virology, Epidemiology and Genetics, having authored 79 papers that have together received 4.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (30 papers), Virus-based gene therapy research (19 papers) and Cytomegalovirus and herpesvirus research (11 papers). The work is most often cited by research in Virology (454 citations), Epidemiology (2.2k citations) and Developmental Neuroscience (217 citations). Neil Wilkie has collaborated with scholars based in United Kingdom, Slovakia and United States. Frequent co-authors include Demetrios�� Spandidos, Andrew J. Davison, N. D. Stow, J. Barklie Clements, M. C. Timbury, Roger J. Watson, H. S. Marsden, V. G. Preston, J. H. Subak‐Sharpe and Jas C. Lang. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.