Bin Guan
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Ubiquitin and proteasome pathways 10
- Chromatin Remodeling and Cancer 7
- Oncology 11
- Co-authors
- Ie‐Ming Shih (11 shared papers)Tian‐Li Wang (11 shared papers)Teiji Wada (1 shared paper)Chi-chung Hui (1 shared paper)Josef Penninger (1 shared paper)Stefan Uhlig (1 shared paper)Keiji Kuba (1 shared paper)Lutz Hein (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (5 papers)Cancer Research (4 papers)Ophthalmic Genetics (3 papers)Journal of Biological Chemistry (3 papers)JAMA Ophthalmology (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Bin Guan
87 papers receiving 4.6k citations
Bin Guan's Hit Papers
Peers
Comparison fields: 5 of 123
- Infectious Diseases 1.2k
- Reproductive Medicine 489
- Obstetrics and Gynecology 319
- Pathology and Forensic Medicine 551
- Neurology 416
Countries citing papers authored by Bin Guan
This map shows the geographic impact of Bin Guan'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 Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Guan more than expected).
Fields of papers citing papers by Bin Guan
This network shows the impact of papers produced by Bin Guan. 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 Guan. The network helps show where Bin Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Guan, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Angiotensin-converting enzyme 2 protects from severe acute lung failure Hit paper breakdown → | 2005 | 1833 |
| 2 | 2011 | 358 | |
| 3 | 2011 | 221 | |
| 4 | 2012 | 181 | |
| 5 | 2009 | 138 | |
| 6 | 2012 | 129 | |
| 7 | 2006 | 118 | |
| 8 | 2014 | 106 | |
| 9 | 2015 | 103 | |
| 10 | 2016 | 97 | |
| 11 | 2018 | 85 | |
| 12 | 2012 | 82 | |
| 13 | 2014 | 65 | |
| 14 | 2015 | 61 | |
| 15 | 2009 | 58 | |
| 16 | 2014 | 58 | |
| 17 | 2010 | 52 | |
| 18 | 2020 | 47 | |
| 19 | 2015 | 42 | |
| 20 | 2017 | 42 |
About Bin Guan
Bin Guan is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Genetics, having authored 97 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Chromatin Remodeling and Cancer (7 papers), Parathyroid Disorders and Treatments (7 papers), Cancer Mechanisms and Therapy (6 papers), Prostate Cancer Treatment and Research (5 papers), Cancer-related molecular mechanisms research (5 papers), Algal biology and biofuel production (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Reproductive Medicine (489 citations), Obstetrics and Gynecology (319 citations), Pathology and Forensic Medicine (551 citations) and Neurology (416 citations). Bin Guan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ie‐Ming Shih, Tian‐Li Wang, Teiji Wada, Chi-chung Hui, Josef Penninger, Stefan Uhlig, Keiji Kuba, Lutz Hein, Yumiko Imai and Chengyu Jiang. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Cancer Research, Ophthalmic Genetics, Journal of Biological Chemistry and JAMA Ophthalmology.
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.