R.J. Russell
- Epidemiology top 5%
- Molecular Biology
- Immunology
- Infectious Diseases top 10%
- Agronomy and Crop Science top 5%
- Topics
- Influenza Virus Research Studies (5 papers)Library Collection Development and Digital Resources (5 papers)Web and Library Services (4 papers)
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
R.J. Russell
30 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Epidemiology 775
- Molecular Biology 444
- Immunology 202
- Infectious Diseases 176
- Agronomy and Crop Science 148
Countries citing papers authored by R.J. Russell
This map shows the geographic impact of R.J. Russell'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 R.J. Russell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.J. Russell more than expected).
Fields of papers citing papers by R.J. Russell
This network shows the impact of papers produced by R.J. Russell. 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 R.J. Russell. The network helps show where R.J. Russell may publish in the future.
Co-authorship network of co-authors of R.J. Russell
This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Russell. A scholar is included among the top collaborators of R.J. Russell 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 R.J. Russell. R.J. Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | JISC Research Information Management: CERIF Workshop | 0 |
| 2 | 16 | |
| 3 | Collecting Evidence in a Web 2.0 Context | 1 |
| 4 | 91 | |
| 5 | 10 | |
| 6 | DRIVER: Building the Network for Accessing Digital Repositories Across Europe | 14 |
| 7 | 103 | |
| 8 | 148 | |
| 9 | 1 | |
| 10 | Agora: From Information Maze to Market | 1 |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | MODELS: MOving to Distributed Environments for Library Services | 1 |
| 17 | 2 | |
| 18 | In at the Shallow End: Metadata and Cross-domain Resource Discovery | 1 |
| 19 | UKOLN MODELS 4: evaluation of cross-domain resource discovery | 5 |
| 20 | The Human Genome Project: what questions does it raise for theology and ethics? | 2 |
About R.J. Russell
R.J. Russell is a scholar working on Library and Information Sciences, Information Systems and Human Factors and Ergonomics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Library Collection Development and Digital Resources (5 papers) and Web and Library Services (4 papers). The work is most often cited by research in Epidemiology (775 citations), Agronomy and Crop Science (148 citations) and Immunology (202 citations). R.J. Russell has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include L.F. Haire, J.J. Skehel, David Stevens, S.J. Gamblin, Bing Xiao, Ya Ha, R. S. Daniels, N. Vasisht, David A. Steinhauer and Alex J. Elliot. Their work appears in journals such as Science, Virology and Vaccine.
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.