Xin Bing
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Protein Tyrosine Phosphatases 2
-
- Liver physiology and pathology 4
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Yanmin Huang (1 shared paper)Bo Yuan (1 shared paper)Tian Wang (1 shared paper)Cuiling Gao (1 shared paper)Masahiro Yamamoto (9 shared papers)Yuji Nishikawa (9 shared papers)Gen‐Sheng Feng (5 shared papers)Yôko Okada (7 shared papers)
- Journals
- Hepatology (4 papers)Cancer Science (2 papers)American Journal Of Pathology (2 papers)African Journal of Traditional Complementary and Alternative Medicines (1 paper)Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xin Bing
33 papers receiving 810 citations
Peers
Comparison fields: 5 of 97
- Hepatology 101
- Physiology 55
- Pollution 108
- Drug Discovery 1
- Cancer Research 78
Countries citing papers authored by Xin Bing
This map shows the geographic impact of Xin Bing'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 Xin Bing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Bing more than expected).
Fields of papers citing papers by Xin Bing
This network shows the impact of papers produced by Xin Bing. 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 Xin Bing. The network helps show where Xin Bing may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Bing, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 179 | |
| 2 | 2020 | 63 | |
| 3 | 2022 | 60 | |
| 4 | 2014 | 50 | |
| 5 | 2019 | 46 | |
| 6 | 2017 | 42 | |
| 7 | 2015 | 41 | |
| 8 | 2017 | 41 | |
| 9 | 2023 | 31 | |
| 10 | 2010 | 29 | |
| 11 | 2023 | 27 | |
| 12 | 2014 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2012 | 18 | |
| 16 | 2016 | 16 | |
| 17 | 2017 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2010 | 12 |
About Xin Bing
Xin Bing is a scholar working on Molecular Biology, Hepatology, Physiology, Surgery and Oncology, having authored 34 papers that have together received 821 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (5 papers), Liver physiology and pathology (4 papers), Aquaculture Nutrition and Growth (3 papers), Sperm and Testicular Function (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Protein Tyrosine Phosphatases (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Hepatology (101 citations), Physiology (55 citations), Pollution (108 citations), Drug Discovery (1 citation) and Cancer Research (78 citations). Xin Bing has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yanmin Huang, Bo Yuan, Tian Wang, Cuiling Gao, Masahiro Yamamoto, Yuji Nishikawa, Gen‐Sheng Feng, Yôko Okada, Shaoguo Ru and Hua Tian. Their work appears in journals such as Hepatology, Cancer Science, American Journal Of Pathology, African Journal of Traditional Complementary and Alternative Medicines and Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology.
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.