Peng Xu
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA modifications and cancer 8
- RNA Research and Splicing 5
- Oncology 25
- CAR-T cell therapy research 8
- Co-authors
- Elena Sotillo (6 shared papers)Evan W. Weber (3 shared papers)Robbie G. Majzner (4 shared papers)Ansuman T. Satpathy (2 shared papers)Rachel C. Lynn (2 shared papers)Stephen R. Quake (1 shared paper)Victor Tieu (1 shared paper)Zinaida Good (1 shared paper)
- Journals
- Blood (6 papers)Medicine (4 papers)Cancer Research (3 papers)Nature (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Peng Xu
105 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Oncology 760
- Immunology 392
- Molecular Biology 899
- Genetics 136
- Cancer Research 178
Countries citing papers authored by Peng Xu
This map shows the geographic impact of Peng Xu'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 Peng Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Xu more than expected).
Fields of papers citing papers by Peng Xu
This network shows the impact of papers produced by Peng Xu. 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 Peng Xu. The network helps show where Peng Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Xu, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | c-Jun overexpression in CAR T cells induces exhaustion resistance Hit paper breakdown → | 2019 | 514 |
| 2 | Co-opting signalling molecules enables logic-gated control of CAR T cells Hit paper breakdown → | 2023 | 170 |
| 3 | 2015 | 125 | |
| 4 | 2006 | 87 | |
| 5 | 2019 | 81 | |
| 6 | 2020 | 62 | |
| 7 | 2022 | 48 | |
| 8 | 2014 | 43 | |
| 9 | 2015 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2022 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2021 | 36 | |
| 14 | 2021 | 33 | |
| 15 | 2017 | 33 | |
| 16 | 2017 | 30 | |
| 17 | 2022 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2023 | 24 | |
| 20 | 2020 | 24 |
About Peng Xu
Peng Xu is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 117 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), RNA modifications and cancer (8 papers), CAR-T cell therapy research (8 papers), Cardiac Imaging and Diagnostics (7 papers), Head and Neck Cancer Studies (7 papers), Lymphoma Diagnosis and Treatment (6 papers), RNA Research and Splicing (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Oncology (760 citations), Immunology (392 citations), Molecular Biology (899 citations), Genetics (136 citations) and Cancer Research (178 citations). Peng Xu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Elena Sotillo, Evan W. Weber, Robbie G. Majzner, Ansuman T. Satpathy, Rachel C. Lynn, Stephen R. Quake, Victor Tieu, Zinaida Good, Howard Y. Chang and Surya Nagaraja. Their work appears in journals such as Blood, Medicine, Cancer Research, Nature and PLoS ONE.
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.