Chang−Guo Yan

30 total papers · 565 total citations
27 papers, 449 citations indexed

About

Chang−Guo Yan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Chang−Guo Yan has authored 27 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 7 papers in Physiology. Recurrent topics in Chang−Guo Yan's work include Reproductive Biology and Fertility (9 papers), Pluripotent Stem Cells Research (8 papers) and Adipose Tissue and Metabolism (7 papers). Chang−Guo Yan is often cited by papers focused on Reproductive Biology and Fertility (9 papers), Pluripotent Stem Cells Research (8 papers) and Adipose Tissue and Metabolism (7 papers). Chang−Guo Yan collaborates with scholars based in China and South Korea. Chang−Guo Yan's co-authors include Yong‐Nan Xu, Yingjie Niu, Zheng‐Wen Nie, Xiang‐Shun Cui, Wenjun Zhou, Jin‐Dan Kang, Suo Li, Wanzhu Jin, Xiaoxiao Jiang and Jun‐Xue Jin and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Chang−Guo Yan

27 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Chang−Guo Yan 223 134 98 90 50 27 449
Rodrigo Manjarín 158 0.7× 37 0.3× 78 0.8× 91 1.0× 103 2.1× 53 530
V.P. Yadav 221 1.0× 100 0.7× 78 0.8× 108 1.2× 234 4.7× 27 538
Chaohui Dai 247 1.1× 36 0.3× 41 0.4× 93 1.0× 35 0.7× 23 537
Ye Bi 227 1.0× 149 1.1× 31 0.3× 83 0.9× 30 0.6× 18 545
Yixuan Guo 92 0.4× 47 0.4× 30 0.3× 49 0.5× 51 1.0× 38 489
Honghong He 227 1.0× 106 0.8× 26 0.3× 77 0.9× 14 0.3× 51 481
Xianwen Peng 198 0.9× 106 0.8× 47 0.5× 119 1.3× 78 1.6× 29 470
Camille Gautier 130 0.6× 97 0.7× 19 0.2× 77 0.9× 16 0.3× 42 427
Inês Cristina Giometti 190 0.9× 206 1.5× 26 0.3× 76 0.8× 43 0.9× 49 469
Minli Yu 257 1.2× 39 0.3× 39 0.4× 171 1.9× 128 2.6× 33 530

Countries citing papers authored by Chang−Guo Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chang−Guo Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang−Guo Yan. 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 Chang−Guo Yan. The network helps show where Chang−Guo Yan may publish in the future.

Co-authorship network of co-authors of Chang−Guo Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chang−Guo Yan. A scholar is included among the top collaborators of Chang−Guo Yan 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 Chang−Guo Yan. Chang−Guo Yan 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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2026