Bin Nan
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Ophthalmology top 1%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
-
- Statistical Methods and Inference 30
- Statistical Methods and Bayesian Inference 19
- Advanced Causal Inference Techniques 12
- Statistical Distribution Estimation and Applications 4
-
- Glaucoma and retinal disorders 8
- Co-authors
- Joshua D. Stein (16 shared papers)Nidhi Talwar (13 shared papers)Sioḃán D. Harlow (12 shared papers)John F. Randolph (12 shared papers)Ji Zhu (5 shared papers)Huiyong T. Zheng (7 shared papers)Daniel S McConnell (7 shared papers)David C. Musch (7 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (7 papers)Biometrics (5 papers)Ophthalmology (5 papers)Journal of the American Statistical Association (4 papers)American Journal of Roentgenology (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Bin Nan
121 papers receiving 4.7k citations
Bin Nan's Hit Papers
Peers
Comparison fields: 5 of 176
- Statistics and Probability 529
- Ophthalmology 496
- Endocrinology, Diabetes and Metabolism 404
- Reproductive Medicine 191
- Radiology, Nuclear Medicine and Imaging 442
Countries citing papers authored by Bin Nan
This map shows the geographic impact of Bin Nan'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 Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Nan more than expected).
Fields of papers citing papers by Bin Nan
This network shows the impact of papers produced by Bin Nan. 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 Nan. The network helps show where Bin Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Nan, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 258 | |
| 2 | 2005 | 182 | |
| 3 | 2011 | 157 | |
| 4 | 2010 | 136 | |
| 5 | 2014 | 133 | |
| 6 | Trends in glucagon-like peptide 1 receptor agonist use, 2014 to 2022 Hit paper breakdown → | 2023 | 131 |
| 7 | 2011 | 129 | |
| 8 | 2002 | 126 | |
| 9 | 2011 | 125 | |
| 10 | 2007 | 116 | |
| 11 | 2009 | 111 | |
| 12 | 2008 | 106 | |
| 13 | 2005 | 100 | |
| 14 | 2015 | 97 | |
| 15 | 2008 | 93 | |
| 16 | 2005 | 90 | |
| 17 | 2012 | 89 | |
| 18 | 2011 | 86 | |
| 19 | 2015 | 84 | |
| 20 | 2010 | 79 |
About Bin Nan
Bin Nan is a scholar working on Statistics and Probability, Ophthalmology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Physiology, having authored 125 papers that have together received 4.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (30 papers), Statistical Methods and Bayesian Inference (19 papers), Advanced Causal Inference Techniques (12 papers), Glaucoma and retinal disorders (8 papers), Menopause: Health Impacts and Treatments (7 papers), Aortic Disease and Treatment Approaches (5 papers), Asthma and respiratory diseases (5 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (529 citations), Ophthalmology (496 citations), Endocrinology, Diabetes and Metabolism (404 citations), Reproductive Medicine (191 citations) and Radiology, Nuclear Medicine and Imaging (442 citations). Bin Nan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Joshua D. Stein, Nidhi Talwar, Sioḃán D. Harlow, John F. Randolph, Ji Zhu, Huiyong T. Zheng, Daniel S McConnell, David C. Musch, Norman E. Breslow and Daniel M. Green. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biometrics, Ophthalmology, Journal of the American Statistical Association and American Journal of Roentgenology.
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.