Ping Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
- Oncology 10
- PARP inhibition in cancer therapy 3
- CAR-T cell therapy research 2
-
- Neurobiology and Insect Physiology Research 4
- Co-authors
- Philip W. Becraft (2 shared papers)Tao Guo (2 shared papers)Sen Xu (10 shared papers)Edouard Collins Nice (4 shared papers)Zongyuan Yang (9 shared papers)Qinglei Gao (10 shared papers)R. K. Murphey (2 shared papers)Wei Xiao (7 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Environmental Pollution (2 papers)Molecular Cancer (2 papers)Anti-Cancer Agents in Medicinal Chemistry (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Jin
36 papers receiving 1.2k citations
Ping Jin's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 265
- Reproductive Medicine 103
- Oncology 253
- Molecular Biology 595
- Health Informatics 9
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 177 | |
| 2 | Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study Hit paper breakdown → | 2022 | 126 |
| 3 | 2019 | 116 | |
| 4 | 2022 | 115 | |
| 5 | 2018 | 90 | |
| 6 | 2000 | 70 | |
| 7 | 2017 | 56 | |
| 8 | 2019 | 47 | |
| 9 | 1997 | 45 | |
| 10 | 1998 | 42 | |
| 11 | 2017 | 40 | |
| 12 | 2017 | 37 | |
| 13 | 2016 | 35 | |
| 14 | 2017 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 23 | |
| 17 | 2023 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2021 | 16 | |
| 20 | 2017 | 15 |
About Ping Jin
Ping Jin is a scholar working on Oncology, Cellular and Molecular Neuroscience, Reproductive Medicine, Molecular Biology and Cancer Research, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Autophagy in Disease and Therapy (4 papers), Neurobiology and Insect Physiology Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Immune cells in cancer (3 papers), PARP inhibition in cancer therapy (3 papers), CAR-T cell therapy research (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Cancer Research (265 citations), Reproductive Medicine (103 citations), Oncology (253 citations), Molecular Biology (595 citations) and Health Informatics (9 citations). Ping Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Philip W. Becraft, Tao Guo, Sen Xu, Edouard Collins Nice, Zongyuan Yang, Qinglei Gao, R. K. Murphey, Wei Xiao, Xin Yang and Canhua Huang. Their work appears in journals such as Molecular Cancer Therapeutics, Environmental Pollution, Molecular Cancer, Anti-Cancer Agents in Medicinal Chemistry and BMJ Open.
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.