Ping Jin
Impact in
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- Diabetes Management and Research
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Mitochondrial Function and Pathology 4
- Epigenetics and DNA Methylation 4
- Genetics 25
- Diabetes and associated disorders 15
- Genetic Syndromes and Imprinting 6
- Co-authors
- Li Zhou (7 shared papers)Canhua Huang (7 shared papers)Zhao Huang (6 shared papers)Jingwen Jiang (6 shared papers)Edouard C. Nice (6 shared papers)Zhiguang Zhou (10 shared papers)Gan Huang (9 shared papers)Li Fu (1 shared paper)
- Journals
- Scientific Reports (3 papers)Hormone and Metabolic Research (3 papers)Human Heredity (2 papers)Biology of Reproduction (2 papers)Life Sciences (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ping Jin
74 papers receiving 1.2k citations
Ping Jin's Hit Papers
Peers
Comparison fields: 5 of 121
- Endocrinology, Diabetes and Metabolism 207
- Cancer Research 134
- Genetics 243
- Molecular Biology 522
- Pharmaceutical Science 44
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mitochondrial adaptation in cancer drug resistance: prevalence, mechanisms, and management Hit paper breakdown → | 2022 | 152 |
| 2 | 2022 | 97 | |
| 3 | 2020 | 61 | |
| 4 | 2011 | 54 | |
| 5 | 2016 | 53 | |
| 6 | 2020 | 52 | |
| 7 | 1994 | 45 | |
| 8 | 1998 | 41 | |
| 9 | 2021 | 41 | |
| 10 | 2018 | 40 | |
| 11 | 2006 | 40 | |
| 12 | 2022 | 29 | |
| 13 | 2019 | 28 | |
| 14 | 2011 | 28 | |
| 15 | 2023 | 27 | |
| 16 | 2011 | 26 | |
| 17 | 1997 | 23 | |
| 18 | 1993 | 22 | |
| 19 | 2023 | 21 | |
| 20 | 2014 | 21 |
About Ping Jin
Ping Jin is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (15 papers), Pancreatic function and diabetes (9 papers), Diabetes Management and Research (8 papers), Genetic Syndromes and Imprinting (6 papers), Cancer, Lipids, and Metabolism (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Mitochondrial Function and Pathology (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (207 citations), Cancer Research (134 citations), Genetics (243 citations), Molecular Biology (522 citations) and Pharmaceutical Science (44 citations). Ping Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Li Zhou, Canhua Huang, Zhao Huang, Jingwen Jiang, Edouard C. Nice, Zhiguang Zhou, Gan Huang, Li Fu, Carol M. Warner and Gaopeng Guan. Their work appears in journals such as Scientific Reports, Hormone and Metabolic Research, Human Heredity, Biology of Reproduction and Life Sciences.
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.