Bin Nan

33 total papers · 843 total citations
21 papers, 629 citations indexed

About

Bin Nan is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability and Pathology and Forensic Medicine. According to data from OpenAlex, Bin Nan has authored 21 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Statistics and Probability and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Bin Nan's work include Statistical Methods and Inference (8 papers), Menopause: Health Impacts and Treatments (6 papers) and Phytoestrogen effects and research (5 papers). Bin Nan is often cited by papers focused on Statistical Methods and Inference (8 papers), Menopause: Health Impacts and Treatments (6 papers) and Phytoestrogen effects and research (5 papers). Bin Nan collaborates with scholars based in United States, Australia and Poland. Bin Nan's co-authors include Roderick J. A. Little, Sioḃán D. Harlow, Sybil L. Crawford, Ellen Sullivan Mitchell, John Taffe, Rork Kuick, Cornelia L. Trimble, Ichiro Ota, Stephen J. Weiss and Eric R. Fearon and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and American Journal of Epidemiology.

In The Last Decade

Bin Nan

21 papers receiving 613 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bin Nan	180	175	114	102	95	21	629
Tess V. Clendenen	86 0.5×	63 0.4×	128 1.1×	52 0.5×	59 0.6×	27	619
M. Zwirner	134 0.7×	86 0.5×	222 1.9×	96 0.9×	85 0.9×	29	752
Marit Holmqvist	91 0.5×	132 0.8×	32 0.3×	111 1.1×	293 3.1×	19	764
Neil M. Schultz	68 0.4×	184 1.1×	21 0.2×	38 0.4×	63 0.7×	38	555
Faïza Bessaoud	55 0.3×	44 0.3×	50 0.4×	105 1.0×	66 0.7×	25	622
Thomas J. Worgul	131 0.7×	257 1.5×	117 1.0×	30 0.3×	102 1.1×	19	732
Sofia Cividini	189 1.1×	67 0.4×	115 1.0×	54 0.5×	166 1.7×	15	741
Kirstine Belling	294 1.6×	46 0.3×	134 1.2×	50 0.5×	131 1.4×	26	762
Mona El-Hashimy	277 1.5×	67 0.4×	68 0.6×	46 0.5×	91 1.0×	19	703
A. Evans	171 0.9×	140 0.8×	9 0.1×	110 1.1×	83 0.9×	21	729

Countries citing papers authored by Bin Nan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bin Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Nan. A scholar is included among the top collaborators of Bin Nan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Nan. Bin Nan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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