Bin Nan
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Endometriosis Research and Treatment
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Menopause: Health Impacts and Treatments 6
- Hormonal and reproductive studies 3
-
- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 4
- Advanced Causal Inference Techniques 3
- Co-authors
- Roderick J. A. Little (6 shared papers)Sioḃán D. Harlow (6 shared papers)Sybil L. Crawford (3 shared papers)Ellen Sullivan Mitchell (3 shared papers)John Taffe (3 shared papers)Cornelia L. Trimble (1 shared paper)Ichiro Ota (1 shared paper)Stephen J. Weiss (1 shared paper)
- Journals
- Obesity (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Lifetime Data Analysis (2 papers)Biometrics (2 papers)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Bin Nan
21 papers receiving 617 citations
Peers
Comparison fields: 5 of 85
- Reproductive Medicine 115
- Statistics and Probability 93
- Endocrinology, Diabetes and Metabolism 175
- Cancer Research 95
- Pathology and Forensic Medicine 77
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 203 | |
| 2 | 2006 | 83 | |
| 3 | 2007 | 78 | |
| 4 | 2006 | 55 | |
| 5 | 2015 | 54 | |
| 6 | 2009 | 28 | |
| 7 | 2014 | 26 | |
| 8 | 2016 | 23 | |
| 9 | 2007 | 19 | |
| 10 | 2008 | 15 | |
| 11 | 2013 | 12 | |
| 12 | 2011 | 7 | |
| 13 | 2008 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2013 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 1 | |
| 20 | 2013 | 1 |
About Bin Nan
Bin Nan is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability, Pathology and Forensic Medicine, Genetics and Epidemiology, having authored 21 papers that have together received 633 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Menopause: Health Impacts and Treatments (6 papers), Phytoestrogen effects and research (5 papers), Statistical Methods and Bayesian Inference (4 papers), Hormonal and reproductive studies (3 papers), Advanced Causal Inference Techniques (3 papers), Ovarian function and disorders (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Reproductive Medicine (115 citations), Statistics and Probability (93 citations), Endocrinology, Diabetes and Metabolism (175 citations), Cancer Research (95 citations) and Pathology and Forensic Medicine (77 citations). Bin Nan has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Roderick J. A. Little, Sioḃán D. Harlow, Sybil L. Crawford, Ellen Sullivan Mitchell, John Taffe, Cornelia L. Trimble, Ichiro Ota, Stephen J. Weiss, Eric R. Fearon and Rork Kuick. Their work appears in journals such as Obesity, The Journal of Clinical Endocrinology & Metabolism, Lifetime Data Analysis, Biometrics and Annals of the Rheumatic Diseases.
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.