Pijun Yan

58 total papers · 856 total citations
44 papers, 598 citations indexed

About

Pijun Yan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Pijun Yan has authored 44 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Pijun Yan's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes Treatment and Management (6 papers). Pijun Yan is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Diabetes Treatment and Management (6 papers). Pijun Yan collaborates with scholars based in China, Macao and United States. Pijun Yan's co-authors include Yong Xu, Zhihong Zhang, Chenlin Gao, Ying Miao, Jianhua Zhu, Yongcheng Ren, Jingbo Pang, Min Long, Qin Wan and Qin Wan and has published in prestigious journals such as Carbohydrate Polymers, Frontiers in Immunology and Clinica Chimica Acta.

In The Last Decade

Pijun Yan

43 papers receiving 591 citations

Author Peers

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

Author Last Decade Papers Cites
Pijun Yan 214 186 165 122 101 44 598
Marek Paradowski 204 1.0× 152 0.8× 104 0.6× 94 0.8× 129 1.3× 37 601
Young Goo Shin 206 1.0× 88 0.5× 203 1.2× 202 1.7× 64 0.6× 33 647
Weijing Liu 166 0.8× 127 0.7× 277 1.7× 42 0.3× 114 1.1× 40 682
Diego Fernández‐García 124 0.6× 163 0.9× 156 0.9× 139 1.1× 55 0.5× 34 509
Sohel Zaedi 133 0.6× 159 0.9× 183 1.1× 77 0.6× 185 1.8× 41 680
Yukishige Yanagawa 116 0.5× 122 0.7× 187 1.1× 43 0.4× 83 0.8× 39 616
Xin Liao 107 0.5× 120 0.6× 179 1.1× 89 0.7× 46 0.5× 41 550
Tomio Umemoto 169 0.8× 154 0.8× 180 1.1× 102 0.8× 121 1.2× 22 599
Miao Chen 168 0.8× 94 0.5× 183 1.1× 104 0.9× 44 0.4× 53 635
Yoshiaki Uchida 119 0.6× 82 0.4× 185 1.1× 123 1.0× 102 1.0× 29 588

Countries citing papers authored by Pijun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Pijun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pijun Yan

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