Bin Yi
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- S100 Proteins and Annexins 6
- ATP Synthase and ATPases Research 5
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- Pulmonary Hypertension Research and Treatments 7
- Co-authors
- Kaizhi Lu (43 shared papers)Jianteng Gu (22 shared papers)Jiaolin Ning (16 shared papers)Daqing Ma (9 shared papers)Jian Cui (9 shared papers)Guisheng Qian (10 shared papers)Guansong Wang (10 shared papers)Jing Zeng (8 shared papers)
- Journals
- Experimental Cell Research (4 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular BioSystems (2 papers)Clinical Interventions in Aging (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Bin Yi
81 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Hepatology 106
- Critical Care and Intensive Care Medicine 54
- Cancer Research 131
- Developmental Neuroscience 32
- Anesthesiology and Pain Medicine 38
Countries citing papers authored by Bin Yi
This map shows the geographic impact of Bin Yi'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 Bin Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yi more than expected).
Fields of papers citing papers by Bin Yi
This network shows the impact of papers produced by Bin Yi. 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 Bin Yi. The network helps show where Bin Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yi, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 72 | |
| 2 | 2015 | 56 | |
| 3 | 2018 | 53 | |
| 4 | 2015 | 48 | |
| 5 | 2015 | 44 | |
| 6 | 2016 | 38 | |
| 7 | 2014 | 37 | |
| 8 | 2014 | 33 | |
| 9 | 2016 | 31 | |
| 10 | 2011 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 2018 | 28 | |
| 13 | 2013 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2010 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2015 | 21 | |
| 18 | 2020 | 21 | |
| 19 | 2010 | 20 | |
| 20 | 2014 | 19 |
About Bin Yi
Bin Yi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Hepatology, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (7 papers), S100 Proteins and Annexins (6 papers), Liver Disease and Transplantation (6 papers), ATP Synthase and ATPases Research (5 papers), MicroRNA in disease regulation (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Hepatology (106 citations), Critical Care and Intensive Care Medicine (54 citations), Cancer Research (131 citations), Developmental Neuroscience (32 citations) and Anesthesiology and Pain Medicine (38 citations). Bin Yi has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Kaizhi Lu, Jianteng Gu, Jiaolin Ning, Daqing Ma, Jian Cui, Guisheng Qian, Guansong Wang, Jing Zeng, Hailin Zhao and Xiaobo Wang. Their work appears in journals such as Experimental Cell Research, Biochemical and Biophysical Research Communications, Molecular BioSystems, Clinical Interventions in Aging and Nature Communications.
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.