Bin Nan
Impact in
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- Menopause: Health Impacts and Treatments
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Inference 9
- Statistical Methods and Bayesian Inference 5
- Advanced Causal Inference Techniques 4
- Statistical Distribution Estimation and Applications 2
- Statistical Methods in Clinical Trials 1
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- Menopause: Health Impacts and Treatments 5
- Co-authors
- Roderick J. A. Little (6 shared papers)Sioḃán D. Harlow (6 shared papers)Ellen Sullivan Mitchell (3 shared papers)Sybil L. Crawford (3 shared papers)John R. Taffe (3 shared papers)Ichiro Ota (1 shared paper)Cornelia Liu Trimble (1 shared paper)Kathleen Cho (1 shared paper)
- Journals
- Lifetime Data Analysis (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Obesity (2 papers)Biometrics (2 papers)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (1 paper)
- Partner nations
- United StatesAustraliaPoland
In The Last Decade
Bin Nan
21 papers receiving 668 citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 174
- Statistics and Probability 92
- Reproductive Medicine 66
- Cancer Research 70
- Pathology and Forensic Medicine 48
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 209 | |
| 2 | 2006 | 87 | |
| 3 | 2007 | 85 | |
| 4 | 2006 | 64 | |
| 5 | 2015 | 63 | |
| 6 | 2014 | 28 | |
| 7 | 2009 | 26 | |
| 8 | 2016 | 25 | |
| 9 | 2007 | 19 | |
| 10 | 2008 | 17 | |
| 11 | 2013 | 14 | |
| 12 | 2011 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2008 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2018 | 4 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 1 | |
| 20 | 2014 | 1 |
About Bin Nan
Bin Nan is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Genetics, Pathology and Forensic Medicine and Virology, having authored 23 papers that have together received 682 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Menopause: Health Impacts and Treatments (5 papers), Statistical Methods and Bayesian Inference (5 papers), Advanced Causal Inference Techniques (4 papers), Genetic and phenotypic traits in livestock (2 papers), Statistical Distribution Estimation and Applications (2 papers), Statistical Methods in Clinical Trials (1 paper) and Studies on Chitinases and Chitosanases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Statistics and Probability (92 citations), Reproductive Medicine (66 citations), Cancer Research (70 citations) and Pathology and Forensic Medicine (48 citations). Bin Nan has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include Roderick J. A. Little, Sioḃán D. Harlow, Ellen Sullivan Mitchell, Sybil L. Crawford, John R. Taffe, Ichiro Ota, Cornelia Liu Trimble, Kathleen Cho, Stephen J. Weiss and Rork D. Kuick. Their work appears in journals such as Lifetime Data Analysis, The Journal of Clinical Endocrinology & Metabolism, Obesity, Biometrics and Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring.
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.