Neil C. Rogers
- Immunology top 0.2%
- Oncology top 0.5%
- Molecular Biology top 5%
- Cancer Research top 5%
- Epidemiology top 5%
- Co-authors
- Caetano Reis e SousaSantiago ZelenayErik SahaiProbir ChakravartyDiane WatlingJan P. BöttcherOliver SchulzGeorge R. Stark
- Topics
- Immunotherapy and Immune Responses (20 papers)T-cell and B-cell Immunology (20 papers)Cytokine Signaling Pathways and Interactions (16 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Neil C. Rogers
54 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 5.5k
- Oncology 3.3k
- Molecular Biology 2.2k
- Cancer Research 644
- Epidemiology 638
Countries citing papers authored by Neil C. Rogers
This map shows the geographic impact of Neil C. Rogers'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 C. Rogers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil C. Rogers more than expected).
Fields of papers citing papers by Neil C. Rogers
This network shows the impact of papers produced by Neil C. Rogers. 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 C. Rogers. The network helps show where Neil C. Rogers may publish in the future.
Co-authorship network of co-authors of Neil C. Rogers
This figure shows the co-authorship network connecting the top 25 collaborators of Neil C. Rogers. A scholar is included among the top collaborators of Neil C. Rogers 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 C. Rogers. Neil C. Rogers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 9 | |
| 3 | 31 | |
| 4 | 89 | |
| 5 | 157 | |
| 6 | 123 | |
| 7 | 78 | |
| 8 | NK Cells Stimulate Recruitment of cDC1 into the Tumor Microenvironment Promoting Cancer Immune Controlbreakdown → | 1313 |
| 9 | 104 | |
| 10 | 214 | |
| 11 | 15 | |
| 12 | 224 | |
| 13 | 205 | |
| 14 | 31 | |
| 15 | Syk-Dependent Cytokine Induction by Dectin-1 Reveals a Novel Pattern Recognition Pathway for C Type Lectinsbreakdown → | 727 |
| 16 | 18 | |
| 17 | 162 | |
| 18 | 180 | |
| 19 | 54 | |
| 20 | 472 |
About Neil C. Rogers
Neil C. Rogers is a scholar working on Immunology, Oncology and Microbiology, having authored 55 papers that have together received 8.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), T-cell and B-cell Immunology (20 papers) and Cytokine Signaling Pathways and Interactions (16 papers). The work is most often cited by research in Immunology (5.5k citations), Oncology (3.3k citations) and Cancer Research (644 citations). Neil C. Rogers has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Caetano Reis e Sousa, Santiago Zelenay, Erik Sahai, Probir Chakravarty, Diane Watling, Jan P. Böttcher, Oliver Schulz, George R. Stark, David Sancho and Eduardo Bonavita. Their work appears in journals such as Nature, Science and Cell.
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.