Ping Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
-
- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- FOXO transcription factor regulation 2
- Plant Reproductive Biology 2
- Oncology 8
- CAR-T cell therapy research 2
- Co-authors
- Edouard C. Nice (5 shared papers)Tao Guo (2 shared papers)Philip W. Becraft (2 shared papers)Canhua Huang (4 shared papers)R. K. Murphey (2 shared papers)Sen Xu (10 shared papers)Qinglei Gao (10 shared papers)Zongyuan Yang (9 shared papers)
- Journals
- Molecular Cancer (2 papers)Molecular Cancer Therapeutics (2 papers)Environmental Pollution (2 papers)Molecular Therapy (1 paper)npj Precision Oncology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Jin
31 papers receiving 860 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 212
- Molecular Biology 506
- Oncology 154
- Cellular and Molecular Neuroscience 99
- Cell Biology 73
Countries citing papers authored by Ping Jin
This map shows the geographic impact of Ping Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Jin more than expected).
Fields of papers citing papers by Ping Jin
This network shows the impact of papers produced by Ping Jin. 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 Jin. The network helps show where Ping Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Jin, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2022 | 111 | |
| 3 | 2018 | 85 | |
| 4 | 2000 | 70 | |
| 5 | 2017 | 54 | |
| 6 | 1997 | 47 | |
| 7 | 2019 | 46 | |
| 8 | 1998 | 46 | |
| 9 | 2017 | 41 | |
| 10 | 2017 | 35 | |
| 11 | 2016 | 31 | |
| 12 | 2017 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2021 | 18 | |
| 17 | 2017 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 1998 | 10 |
About Ping Jin
Ping Jin is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cancer Research and Epidemiology, having authored 32 papers that have together received 873 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Autophagy in Disease and Therapy (3 papers), FOXO transcription factor regulation (2 papers), Plant Reproductive Biology (2 papers), Immune cells in cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (212 citations), Molecular Biology (506 citations), Oncology (154 citations), Cellular and Molecular Neuroscience (99 citations) and Cell Biology (73 citations). Ping Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Edouard C. Nice, Tao Guo, Philip W. Becraft, Canhua Huang, R. K. Murphey, Sen Xu, Qinglei Gao, Zongyuan Yang, Wei Xiao and Xin Yang. Their work appears in journals such as Molecular Cancer, Molecular Cancer Therapeutics, Environmental Pollution, Molecular Therapy and npj Precision 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.