Nan Zhou

45 total papers · 789 total citations
32 papers, 478 citations indexed

About

Nan Zhou is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Nan Zhou has authored 32 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Physiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Nan Zhou's work include Liver Disease Diagnosis and Treatment (9 papers), Adipose Tissue and Metabolism (9 papers) and Diet, Metabolism, and Disease (5 papers). Nan Zhou is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Adipose Tissue and Metabolism (9 papers) and Diet, Metabolism, and Disease (5 papers). Nan Zhou collaborates with scholars based in China, Hong Kong and Saudi Arabia. Nan Zhou's co-authors include Lei Zhang, Chao Chen, Xingbo Cheng, Xiaonan Li, Xiaolei Zhu, Wei Zhou, Fan Yang, Hui Lin, Libin Wang and Le Mi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and British Journal Of Nutrition.

In The Last Decade

Nan Zhou

29 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Nan Zhou 186 181 110 83 52 32 478
Karin Simon 77 0.4× 77 0.4× 146 1.3× 61 0.7× 35 0.7× 27 454
Peiwen Zhang 126 0.7× 103 0.6× 227 2.1× 67 0.8× 21 0.4× 42 479
Lanqing Ma 53 0.3× 162 0.9× 183 1.7× 42 0.5× 29 0.6× 32 447
Pankaj Prasun 155 0.8× 129 0.7× 272 2.5× 63 0.8× 11 0.2× 30 539
Diego Hernández‐Saavedra 212 1.1× 153 0.8× 177 1.6× 78 0.9× 8 0.2× 27 519
Gabriela Venturini 130 0.7× 85 0.5× 218 2.0× 58 0.7× 15 0.3× 37 521
Lawrence Mabasa 88 0.5× 116 0.6× 156 1.4× 74 0.9× 10 0.2× 33 485
Lili Wang 54 0.3× 125 0.7× 165 1.5× 31 0.4× 35 0.7× 44 498
Hugo Christian Monroy-Ramírez 78 0.4× 170 0.9× 205 1.9× 59 0.7× 18 0.3× 28 516
Shan Li 46 0.2× 115 0.6× 124 1.1× 38 0.5× 31 0.6× 57 477

Countries citing papers authored by Nan Zhou

Since Specialization
Citations

This map shows the geographic impact of Nan Zhou'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 Nan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Zhou more than expected).

Fields of papers citing papers by Nan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan Zhou. 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 Nan Zhou. The network helps show where Nan Zhou may publish in the future.

Co-authorship network of co-authors of Nan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Zhou. A scholar is included among the top collaborators of Nan Zhou 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 Nan Zhou. Nan Zhou 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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