Bingfa Sun
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Structural Biology top 5%
Papers in
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- Neuropeptides and Animal Physiology 5
- Neuroscience and Neuropharmacology Research 1
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- Receptor Mechanisms and Signaling 8
- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 2
- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Tong Sun Kobilka (7 shared papers)Brian K. Kobilka (7 shared papers)Dan Feng (5 shared papers)Matthew Chu (3 shared papers)Georgios Skiniotis (2 shared papers)Yan Zhang (2 shared papers)Hongli Hu (2 shared papers)Jeffrey T. Tarrasch (2 shared papers)
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (2 papers)Cell Research (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bingfa Sun
13 papers receiving 1.8k citations
Bingfa Sun's Hit Papers
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 695
- Structural Biology 38
- Endocrinology, Diabetes and Metabolism 338
- Molecular Biology 1.5k
- Physiology 70
Countries citing papers authored by Bingfa Sun
This map shows the geographic impact of Bingfa 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 Bingfa Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingfa Sun more than expected).
Fields of papers citing papers by Bingfa Sun
This network shows the impact of papers produced by Bingfa 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 Bingfa Sun. The network helps show where Bingfa Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingfa 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
| # | Work | ||
|---|---|---|---|
| 1 | Cryo-EM structure of the activated GLP-1 receptor in complex with a G protein Hit paper breakdown → | 2017 | 485 |
| 2 | 2016 | 287 | |
| 3 | 2019 | 257 | |
| 4 | 2020 | 157 | |
| 5 | 2006 | 125 | |
| 6 | 2017 | 110 | |
| 7 | 2022 | 93 | |
| 8 | 2020 | 74 | |
| 9 | 2011 | 60 | |
| 10 | 2008 | 55 | |
| 11 | 2011 | 44 | |
| 12 | 2021 | 43 | |
| 13 | 2012 | 8 |
About Bingfa Sun
Bingfa Sun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biotechnology and Cell Biology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), Diabetes Treatment and Management (4 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA modifications and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (695 citations), Structural Biology (38 citations), Endocrinology, Diabetes and Metabolism (338 citations), Molecular Biology (1.5k citations) and Physiology (70 citations). Bingfa Sun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Tong Sun Kobilka, Brian K. Kobilka, Dan Feng, Matthew Chu, Georgios Skiniotis, Yan Zhang, Hongli Hu, Jeffrey T. Tarrasch, Qianhui Qu and Jianping Ding. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Nucleic Acids Research, Cell Research 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.