Ping An
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 13
- Co-authors
- Yury Popov (5 shared papers)Kahini A. Vaid (6 shared papers)Shuangshuang Zhao (4 shared papers)Linlin Wei (1 shared paper)Michelle Lai (1 shared paper)Deanna Sverdlov (1 shared paper)Kaori Kuramitsu (1 shared paper)Makoto Miyamoto (1 shared paper)
- Journals
- Digestive Diseases and Sciences (3 papers)Clinical and Translational Gastroenterology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Endoscopy (2 papers)United European Gastroenterology Journal (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ping An
60 papers receiving 1.4k citations
Ping An's Hit Papers
Peers
Comparison fields: 5 of 117
- Hepatology 181
- Cancer Research 174
- Oncology 303
- Epidemiology 349
- Gastroenterology 55
Countries citing papers authored by Ping An
This map shows the geographic impact of Ping An'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 An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping An more than expected).
Fields of papers citing papers by Ping An
This network shows the impact of papers produced by Ping An. 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 An. The network helps show where Ping An may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping An, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hepatocyte mitochondria-derived danger signals directly activate hepatic stellate cells and drive progression of liver fibrosis Hit paper breakdown → | 2020 | 228 |
| 2 | 2002 | 92 | |
| 3 | 2020 | 75 | |
| 4 | 2023 | 71 | |
| 5 | 2020 | 64 | |
| 6 | 2004 | 60 | |
| 7 | 2013 | 59 | |
| 8 | 2019 | 57 | |
| 9 | 2020 | 48 | |
| 10 | 2014 | 46 | |
| 11 | 2020 | 45 | |
| 12 | 2018 | 41 | |
| 13 | 2017 | 39 | |
| 14 | 2020 | 38 | |
| 15 | 2020 | 37 | |
| 16 | 2018 | 34 | |
| 17 | 2022 | 29 | |
| 18 | 2021 | 29 | |
| 19 | 2016 | 25 | |
| 20 | 2013 | 20 |
About Ping An
Ping An is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Surgery, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (11 papers), Gastric Cancer Management and Outcomes (7 papers), Microscopic Colitis (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Gastrointestinal motility and disorders (4 papers), Liver physiology and pathology (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Eosinophilic Esophagitis (4 papers). The work is most often cited by research in Hepatology (181 citations), Cancer Research (174 citations), Oncology (303 citations), Epidemiology (349 citations) and Gastroenterology (55 citations). Ping An has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yury Popov, Kahini A. Vaid, Shuangshuang Zhao, Linlin Wei, Michelle Lai, Deanna Sverdlov, Kaori Kuramitsu, Makoto Miyamoto, Hesheng Luo and Xiaoying Liu. Their work appears in journals such as Digestive Diseases and Sciences, Clinical and Translational Gastroenterology, Evidence-based Complementary and Alternative Medicine, Endoscopy and United European Gastroenterology Journal.
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.