Ping Cheng
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- RNA Interference and Gene Delivery 7
- Oncology 19
- CAR-T cell therapy research 11
- Co-authors
- Yi Liu (8 shared papers)Yuhong Yang (7 shared papers)Qiyang He (7 shared papers)Qun He (5 shared papers)Yi Liu (5 shared papers)Kevin H. Gardner (2 shared papers)Yuhong Yang (2 shared papers)Yi Liu (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Genes & Development (4 papers)Scientific Reports (3 papers)Oncology Reports (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ping Cheng
75 papers receiving 3.5k citations
Ping Cheng's Hit Papers
Peers
Comparison fields: 5 of 113
- Endocrine and Autonomic Systems 1.2k
- Aging 241
- Plant Science 1.7k
- Cellular and Molecular Neuroscience 531
- Molecular Biology 1.6k
Countries citing papers authored by Ping Cheng
This map shows the geographic impact of Ping Cheng'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 Ping Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Cheng more than expected).
Fields of papers citing papers by Ping Cheng
This network shows the impact of papers produced by Ping Cheng. 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 Ping Cheng. The network helps show where Ping Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Cheng, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 355 | |
| 2 | 2001 | 212 | |
| 3 | 2004 | 181 | |
| 4 | 2021 | 151 | |
| 5 | 2005 | 149 | |
| 6 | CXCL11-armed oncolytic adenoviruses enhance CAR-T cell therapeutic efficacy and reprogram tumor microenvironment in glioblastoma Hit paper breakdown → | 2022 | 140 |
| 7 | 2002 | 139 | |
| 8 | 2001 | 137 | |
| 9 | 2002 | 125 | |
| 10 | 2003 | 122 | |
| 11 | 2003 | 116 | |
| 12 | 2001 | 100 | |
| 13 | 2004 | 98 | |
| 14 | 2020 | 95 | |
| 15 | 2009 | 88 | |
| 16 | 2003 | 86 | |
| 17 | 2003 | 82 | |
| 18 | 2005 | 81 | |
| 19 | 2013 | 81 | |
| 20 | 2020 | 77 |
About Ping Cheng
Ping Cheng is a scholar working on Molecular Biology, Oncology, Genetics, Plant Science and Endocrine and Autonomic Systems, having authored 76 papers that have together received 3.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Circadian rhythm and melatonin (15 papers), Light effects on plants (15 papers), CAR-T cell therapy research (11 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), RNA Interference and Gene Delivery (7 papers), Photoreceptor and optogenetics research (6 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Aging (241 citations), Plant Science (1.7k citations), Cellular and Molecular Neuroscience (531 citations) and Molecular Biology (1.6k citations). Ping Cheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yi Liu, Yuhong Yang, Qiyang He, Qun He, Yi Liu, Kevin H. Gardner, Yuhong Yang, Yi Liu, Lixing Wang and Jinhu Guo. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, Scientific Reports, Oncology Reports and Frontiers in Oncology.
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.