Bei Sun
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
-
- Ferroptosis and cancer prognosis
Papers in ⓘ
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 12
- Oncology 51
- Pancreatic and Hepatic Oncology Research 43
- Co-authors
- Jie Li (2 shared papers)Gang Wang (3 shared papers)Feng Cao (1 shared paper)Ning Mao (1 shared paper)Shangha Pan (35 shared papers)Hongchi Jiang (37 shared papers)Xuewei Bai (30 shared papers)Rui Kong (32 shared papers)
- Journals
- Pancreas (6 papers)PLoS ONE (6 papers)Oncotarget (5 papers)Cell Death and Disease (5 papers)APOPTOSIS (4 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Bei Sun
157 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 2.3k
- Pulmonary and Respiratory Medicine 2.1k
- Molecular Biology 3.7k
- Oncology 1.1k
- Immunology 682
Countries citing papers authored by Bei Sun
This map shows the geographic impact of Bei Sun'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 Bei Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Sun more than expected).
Fields of papers citing papers by Bei Sun
This network shows the impact of papers produced by Bei Sun. 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 Bei Sun. The network helps show where Bei Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Sun, 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ferroptosis: past, present and future Hit paper breakdown → | 2020 | 2919 |
| 2 | 2016 | 191 | |
| 3 | 2010 | 140 | |
| 4 | 2009 | 105 | |
| 5 | 2018 | 95 | |
| 6 | 2021 | 86 | |
| 7 | 2020 | 80 | |
| 8 | 2011 | 76 | |
| 9 | 2020 | 76 | |
| 10 | 2009 | 72 | |
| 11 | 2012 | 72 | |
| 12 | 2015 | 70 | |
| 13 | 2011 | 70 | |
| 14 | 2018 | 68 | |
| 15 | 2009 | 67 | |
| 16 | 2014 | 66 | |
| 17 | 2019 | 66 | |
| 18 | 2014 | 64 | |
| 19 | 2012 | 64 | |
| 20 | 2016 | 60 |
About Bei Sun
Bei Sun is a scholar working on Cancer Research, Oncology, Surgery, Immunology and Developmental Neuroscience, having authored 160 papers that have together received 6.8k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (67 papers), Pancreatic and Hepatic Oncology Research (43 papers), Phagocytosis and Immune Regulation (16 papers), Autophagy in Disease and Therapy (13 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (10 papers) and Cancer Mechanisms and Therapy (10 papers). The work is most often cited by research in Cancer Research (2.3k citations), Pulmonary and Respiratory Medicine (2.1k citations), Molecular Biology (3.7k citations), Oncology (1.1k citations) and Immunology (682 citations). Bei Sun has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jie Li, Gang Wang, Feng Cao, Ning Mao, Shangha Pan, Hongchi Jiang, Xuewei Bai, Rui Kong, Dongbo Xue and Yongwei Wang. Their work appears in journals such as Pancreas, PLoS ONE, Oncotarget, Cell Death and Disease and APOPTOSIS.
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.