Paul A. Renauer
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
- Immunology 11
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Oncology 8
- CAR-T cell therapy research 8
- Co-authors
- Amr H. Sawalha (10 shared papers)Sidi Chen (15 shared papers)Patrick Coit (7 shared papers)Ryan Dz-Wei Chow (8 shared papers)Matthew B. Dong (8 shared papers)Lupeng Ye (7 shared papers)Youssef Errami (6 shared papers)Guangchuan Wang (6 shared papers)
- Journals
- Nature Immunology (2 papers)Annals of the Rheumatic Diseases (2 papers)Journal of Autoimmunity (2 papers)Arthritis & Rheumatology (2 papers)Nature Biotechnology (2 papers)
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Paul A. Renauer
31 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 84
- Immunology 529
- Rheumatology 325
- Oncology 407
- Virology 67
- Aging 21
Countries citing papers authored by Paul A. Renauer
This map shows the geographic impact of Paul A. Renauer'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 Paul A. Renauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul A. Renauer more than expected).
Fields of papers citing papers by Paul A. Renauer
This network shows the impact of papers produced by Paul A. Renauer. 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 Paul A. Renauer. The network helps show where Paul A. Renauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul A. Renauer, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 244 | |
| 2 | 2017 | 185 | |
| 3 | 2016 | 171 | |
| 4 | 2015 | 107 | |
| 5 | 2020 | 103 | |
| 6 | 2019 | 98 | |
| 7 | 2017 | 92 | |
| 8 | 2015 | 90 | |
| 9 | 2015 | 79 | |
| 10 | 2023 | 69 | |
| 11 | 2017 | 45 | |
| 12 | 2022 | 42 | |
| 13 | 2024 | 42 | |
| 14 | 2023 | 40 | |
| 15 | 2015 | 36 | |
| 16 | 2023 | 35 | |
| 17 | 2019 | 31 | |
| 18 | 2015 | 25 | |
| 19 | 2023 | 25 | |
| 20 | 2014 | 20 |
About Paul A. Renauer
Paul A. Renauer is a scholar working on Immunology, Oncology, Rheumatology, Infectious Diseases and Animal Science and Zoology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), CRISPR and Genetic Engineering (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Systemic Lupus Erythematosus Research (4 papers), Vasculitis and related conditions (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Immunology (529 citations), Rheumatology (325 citations), Oncology (407 citations), Virology (67 citations) and Aging (21 citations). Paul A. Renauer has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Amr H. Sawalha, Sidi Chen, Patrick Coit, Ryan Dz-Wei Chow, Matthew B. Dong, Lupeng Ye, Youssef Errami, Guangchuan Wang, Jonathan Joon-Young Park and Kathleen Maksimowicz‐McKinnon. Their work appears in journals such as Nature Immunology, Annals of the Rheumatic Diseases, Journal of Autoimmunity, Arthritis & Rheumatology and Nature Biotechnology.
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.