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
-
- Parathyroid Disorders and Treatments 7
- Co-authors
- Ie‐Ming ShihTian‐Li WangYi HuanChengyu JiangMichael A. CrackowerRenu SaraoTeiji WadaHoward Leong‐Poi
- Journals
- Investigative Ophthalmology & Visual Science (5 papers)Cancer Research (4 papers)Journal of Biological Chemistry (3 papers)Ophthalmic Genetics (3 papers)JNCI Journal of the National Cancer Institute (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Bin Guan
85 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 1.3k
- Reproductive Medicine 571
- Obstetrics and Gynecology 371
- Pathology and Forensic Medicine 650
- Neurology 493
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 3 | |
| 11 | Genotype-phenotype associations in a large PRPH2-related retinopathy cohort | 2020 | 1 |
| 12 | RUSH2A: systematic cohort variant modeling reveals phenotypic correlates | 2020 | 1 |
| 13 | 2020 | 8 | |
| 14 | 2011 | 353 | |
| 15 | 2011 | 1 | |
| 16 | 2010 | 18 | |
| 17 | 2009 | 136 | |
| 18 | Optimization of fermentation conditions of Spirulina maxima | 2009 | 1 |
| 19 | 2006 | 117 | |
| 20 | The Modification of the DNS Method for the Determination of Reducing Sugar | 1999 | 5 |
About Bin Guan
Bin Guan is a scholar working on Horticulture, Nephrology, Molecular Biology, Cancer Research and Reproductive Medicine, having authored 95 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Cancer Mechanisms and Therapy (8 papers), Chromatin Remodeling and Cancer (7 papers), Parathyroid Disorders and Treatments (7 papers), Genetic Syndromes and Imprinting (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Ocular Disorders and Treatments (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Reproductive Medicine (571 citations), Obstetrics and Gynecology (371 citations), Pathology and Forensic Medicine (650 citations) and Neurology (493 citations). Bin Guan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ie‐Ming Shih, Tian‐Li Wang, Yi Huan, Chengyu Jiang, Michael A. Crackower, Renu Sarao, Teiji Wada, Howard Leong‐Poi, Arthur S. Slutsky and Keiji Kuba. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Cancer Research, Journal of Biological Chemistry, Ophthalmic Genetics and JNCI Journal of the National Cancer Institute.
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.