Steven P. Lee
- Oncology top 2%
- Immunology top 2%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Alan B. RickinsonWendy A. ThomasPenney M. GilbertBenjamin D. CosgroveHelen M. BlauFoteini MourkiotiStéphane Y. CorbelScott L. Delp
- Topics
- Immune Cell Function and Interaction (21 papers)Viral-associated cancers and disorders (16 papers)Cytomegalovirus and herpesvirus research (8 papers)
- Cited by
- ImmunologyOncologyAging
- Journals
- Proceedings of the National Academy of SciencesNature MedicineThe Journal of Experimental Medicine
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Steven P. Lee
44 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Oncology 1.0k
- Immunology 927
- Molecular Biology 698
- Pathology and Forensic Medicine 353
- Epidemiology 298
Countries citing papers authored by Steven P. Lee
This map shows the geographic impact of Steven P. Lee'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 Steven P. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven P. Lee more than expected).
Fields of papers citing papers by Steven P. Lee
This network shows the impact of papers produced by Steven P. Lee. 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 Steven P. Lee. The network helps show where Steven P. Lee may publish in the future.
Co-authorship network of co-authors of Steven P. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Steven P. Lee. A scholar is included among the top collaborators of Steven P. Lee 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 Steven P. Lee. Steven P. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 3 | |
| 3 | 58 | |
| 4 | 34 | |
| 5 | 72 | |
| 6 | 26 | |
| 7 | 28 | |
| 8 | 4 | |
| 9 | Rejuvenation of the muscle stem cell population restores strength to injured aged musclesbreakdown → | 491 |
| 10 | 36 | |
| 11 | 28 | |
| 12 | 77 | |
| 13 | 4 | |
| 14 | 72 | |
| 15 | 26 | |
| 16 | 125 | |
| 17 | 33 | |
| 18 | 89 | |
| 19 | 61 | |
| 20 | 51 |
About Steven P. Lee
Steven P. Lee is a scholar working on Immunology, Oncology and Structural Biology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), Viral-associated cancers and disorders (16 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Immunology (927 citations), Oncology (1.0k citations) and Aging (62 citations). Steven P. Lee has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Alan B. Rickinson, Wendy A. Thomas, Penney M. Gilbert, Benjamin D. Cosgrove, Helen M. Blau, Foteini Mourkioti, Stéphane Y. Corbel, Scott L. Delp, Ermelinda Porpiglia and Neil Blake. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.
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.