Sunjie Yan

27 total papers · 923 total citations
13 papers, 115 citations indexed

About

Sunjie Yan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Sunjie Yan has authored 13 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Sunjie Yan's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Acute Ischemic Stroke Management (2 papers). Sunjie Yan is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Acute Ischemic Stroke Management (2 papers). Sunjie Yan collaborates with scholars based in China and Czechia. Sunjie Yan's co-authors include Liyong Yang, Ximei Shen, Peiwen Wu, Li Luo, Yongze Zhang, Fengying Zhao, Huanhuan Zheng, Yanxian Lin, Wenshui Xia and Dawei Yu and has published in prestigious journals such as Food Chemistry, Metabolism and Clinical Endocrinology.

In The Last Decade

Sunjie Yan

11 papers receiving 112 citations

Author Peers

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

Author Last Decade Papers Cites
Sunjie Yan 47 40 25 19 15 13 115
Alice Ferrero 64 1.4× 29 0.7× 44 1.8× 36 1.9× 9 0.6× 13 183
Hamid Alemi 51 1.1× 34 0.8× 33 1.3× 16 0.8× 22 1.5× 24 213
Gaetano Paride Arcidiacono 27 0.6× 34 0.8× 19 0.8× 24 1.3× 12 0.8× 10 88
A. Giner 56 1.2× 84 2.1× 39 1.6× 20 1.1× 32 2.1× 10 217
Melaku Mekonnen Agidew 43 0.9× 64 1.6× 30 1.2× 21 1.1× 27 1.8× 18 222
Spyridon Savvanis 57 1.2× 58 1.4× 31 1.2× 49 2.6× 34 2.3× 14 215
L. E. Frazier 24 0.5× 39 1.0× 23 0.9× 22 1.2× 18 1.2× 11 129
Grit Elster Legaard 36 0.8× 23 0.6× 75 3.0× 18 0.9× 28 1.9× 8 138
Yuanfei Zhao 133 2.8× 32 0.8× 24 1.0× 27 1.4× 28 1.9× 18 256
Theresia Sarabhai 36 0.8× 41 1.0× 52 2.1× 23 1.2× 72 4.8× 18 215

Countries citing papers authored by Sunjie Yan

Since Specialization
Citations

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

Fields of papers citing papers by Sunjie Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjie Yan

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