John Reneau
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
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- Cancer Cells and Metastasis
- CAR-T cell therapy research
Papers in
-
- Lymphoma Diagnosis and Treatment 20
- Oncology 18
- CAR-T cell therapy research 11
- Viral-associated cancers and disorders 4
- Co-authors
- Darwin J. Prockop (2 shared papers)Ryang Hwa Lee (2 shared papers)Nara Yoon (1 shared paper)Ji Min Yu (1 shared paper)Joo Youn Oh (1 shared paper)Nikolay Bazhanov (1 shared paper)Andrea M. Foskett (1 shared paper)Ryan A. Wilcox (11 shared papers)
- Journals
- Blood (10 papers)Blood Advances (2 papers)Journal of Personalized Medicine (1 paper)Clinical Cancer Research (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
John Reneau
30 papers receiving 400 citations
Peers
Comparison fields: 5 of 60
- Genetics 198
- Oncology 92
- Pathology and Forensic Medicine 50
- Rehabilitation 17
- Immunology 56
Countries citing papers authored by John Reneau
This map shows the geographic impact of John Reneau'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 John Reneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Reneau more than expected).
Fields of papers citing papers by John Reneau
This network shows the impact of papers produced by John Reneau. 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 John Reneau. The network helps show where John Reneau may publish in the future.
Co-authors
The 25 scholars most cited alongside John Reneau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 155 | |
| 2 | 2012 | 113 | |
| 3 | 2022 | 33 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About John Reneau
John Reneau is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Dermatology and Genetics, having authored 36 papers that have together received 404 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), CAR-T cell therapy research (11 papers), Cutaneous lymphoproliferative disorders research (8 papers), T-cell and Retrovirus Studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Viral-associated cancers and disorders (4 papers), Immune Cell Function and Interaction (3 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Genetics (198 citations), Oncology (92 citations), Pathology and Forensic Medicine (50 citations), Rehabilitation (17 citations) and Immunology (56 citations). John Reneau has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Darwin J. Prockop, Ryang Hwa Lee, Nara Yoon, Ji Min Yu, Joo Youn Oh, Nikolay Bazhanov, Andrea M. Foskett, Ryan A. Wilcox, Catherine Chung and Walter Hanel. Their work appears in journals such as Blood, Blood Advances, Journal of Personalized Medicine, Clinical Cancer Research and Cell Reports.
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.