Shunyu Yang

9 total papers · 707 total citations
7 papers, 456 citations indexed

About

Shunyu Yang is a scholar working on Physiology, Endocrine and Autonomic Systems and Obstetrics and Gynecology. According to data from OpenAlex, Shunyu Yang has authored 7 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 2 papers in Endocrine and Autonomic Systems and 2 papers in Obstetrics and Gynecology. Recurrent topics in Shunyu Yang's work include Diet and metabolism studies (4 papers), Dietary Effects on Health (3 papers) and Circadian rhythm and melatonin (2 papers). Shunyu Yang is often cited by papers focused on Diet and metabolism studies (4 papers), Dietary Effects on Health (3 papers) and Circadian rhythm and melatonin (2 papers). Shunyu Yang collaborates with scholars based in China and United States. Shunyu Yang's co-authors include Peizhen Zhang, Huijie Zhang, Bingyan Xu, Xueyun Wei, Chensihan Huang, Jiayang Lin, Linna Shi, Yan Huang, Deying Liu and Changwei Li and has published in prestigious journals such as New England Journal of Medicine, Diabetes Care and JAMA Network Open.

In The Last Decade

Shunyu Yang

7 papers receiving 452 citations

Hit Papers

Calorie Restriction with ... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shunyu Yang 331 151 86 63 61 7 456
Chensihan Huang 363 1.1× 158 1.0× 71 0.8× 92 1.5× 75 1.2× 16 515
Bingyan Xu 360 1.1× 154 1.0× 71 0.8× 95 1.5× 75 1.2× 16 538
NJ Christensen 243 0.7× 81 0.5× 107 1.2× 36 0.6× 83 1.4× 16 499
Natsuko Sato‐Mito 138 0.4× 127 0.8× 156 1.8× 23 0.4× 50 0.8× 7 485
Sakita N. Sistrun 246 0.7× 126 0.8× 51 0.6× 106 1.7× 108 1.8× 9 452
Linna Shi 331 1.0× 151 1.0× 55 0.6× 59 0.9× 54 0.9× 6 415
Magdalena Jura 231 0.7× 64 0.4× 91 1.1× 35 0.6× 101 1.7× 7 490
Nancy E. Badenhop 162 0.5× 226 1.5× 61 0.7× 67 1.1× 142 2.3× 6 488
Albert Clairmont 177 0.5× 244 1.6× 82 1.0× 63 1.0× 156 2.6× 8 546
Manoela Lima Oliveira 422 1.3× 233 1.5× 66 0.8× 46 0.7× 59 1.0× 16 527

Countries citing papers authored by Shunyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shunyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunyu Yang

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