Bing Shan
Impact in
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- Inflammasome and immune disorders
- Ubiquitin and proteasome pathways
- Cancer Research top 2%
Papers in
-
- Cell death mechanisms and regulation 16
- Ubiquitin and proteasome pathways 11
- Prion Diseases and Protein Misfolding 10
- Protein Structure and Dynamics 8
- Immunology 21
- interferon and immune responses 14
- Co-authors
- Junying Yuan (27 shared papers)Yaoyang Zhang (11 shared papers)John R. Yates (5 shared papers)Moon‐Chang Baek (1 shared paper)Bryan R. Fonslow (1 shared paper)Heling Pan (9 shared papers)Ayaz Najafov (5 shared papers)Daichao Xu (16 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Nature Communications (7 papers)Biochemistry (5 papers)Genes & Development (4 papers)Cell Death and Disease (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bing Shan
77 papers receiving 5.1k citations
Bing Shan's Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.4k
- Cancer Research 628
- Spectroscopy 752
- Immunology 886
- Neurology 305
Countries citing papers authored by Bing Shan
This map shows the geographic impact of Bing Shan'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 Bing Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Shan more than expected).
Fields of papers citing papers by Bing Shan
This network shows the impact of papers produced by Bing Shan. 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 Bing Shan. The network helps show where Bing Shan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Shan, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein Analysis by Shotgun/Bottom-up Proteomics Hit paper breakdown → | 2013 | 1097 |
| 2 | Chaperone-mediated autophagy is involved in the execution of ferroptosis Hit paper breakdown → | 2019 | 464 |
| 3 | Activation of Necroptosis in Multiple Sclerosis Hit paper breakdown → | 2015 | 427 |
| 4 | 2018 | 340 | |
| 5 | 2018 | 280 | |
| 6 | 2017 | 253 | |
| 7 | 2018 | 156 | |
| 8 | 2021 | 127 | |
| 9 | 2015 | 114 | |
| 10 | 2018 | 113 | |
| 11 | 2016 | 109 | |
| 12 | 2015 | 96 | |
| 13 | 2020 | 70 | |
| 14 | 2017 | 59 | |
| 15 | 2013 | 56 | |
| 16 | 2017 | 56 | |
| 17 | 2022 | 53 | |
| 18 | 2007 | 51 | |
| 19 | 2011 | 47 | |
| 20 | 2012 | 44 |
About Bing Shan
Bing Shan is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Nutrition and Dietetics, having authored 83 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (16 papers), interferon and immune responses (14 papers), Ubiquitin and proteasome pathways (11 papers), Prion Diseases and Protein Misfolding (10 papers), Protein Structure and Dynamics (8 papers), Trace Elements in Health (8 papers), NF-κB Signaling Pathways (8 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Cancer Research (628 citations), Spectroscopy (752 citations), Immunology (886 citations) and Neurology (305 citations). Bing Shan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Junying Yuan, Yaoyang Zhang, John R. Yates, Moon‐Chang Baek, Bryan R. Fonslow, Heling Pan, Ayaz Najafov, Daichao Xu, Xiaojuan Lu and Daniel P. Raleigh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Biochemistry, Genes & Development and Cell Death and Disease.
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.