Shuo Pan

77 total papers · 1.0k total citations
52 papers, 737 citations indexed

About

Shuo Pan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shuo Pan has authored 52 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cardiology and Cardiovascular Medicine and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shuo Pan's work include Advanced Glycation End Products research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Hormonal Regulation and Hypertension (4 papers). Shuo Pan is often cited by papers focused on Advanced Glycation End Products research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Hormonal Regulation and Hypertension (4 papers). Shuo Pan collaborates with scholars based in China, Japan and United States. Shuo Pan's co-authors include Zhongwei Liu, Bang‐Dang Chen, Yi‐Ning Yang, Zhiguo Tang, Fuqiang Liu, Ling Zhu, Fen Liu, Qianwei Cui, Yitong Ma and Xiang Xie and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Shuo Pan

48 papers receiving 730 citations

Author Peers

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

Author Last Decade Papers Cites
Shuo Pan 350 109 102 92 84 52 737
Lihua Li 294 0.8× 96 0.9× 81 0.8× 100 1.1× 61 0.7× 42 688
W. H. Hauß 207 0.6× 72 0.7× 81 0.8× 55 0.6× 70 0.8× 57 669
Randa H. Mohamed 214 0.6× 93 0.9× 146 1.4× 56 0.6× 106 1.3× 42 726
Zhen Sun 308 0.9× 106 1.0× 83 0.8× 166 1.8× 79 0.9× 40 783
Tina Tičinović Kurir 228 0.7× 114 1.0× 115 1.1× 65 0.7× 54 0.6× 61 794
Jin Huang 484 1.4× 66 0.6× 122 1.2× 80 0.9× 101 1.2× 36 851
Yuan Wang 332 0.9× 110 1.0× 97 1.0× 75 0.8× 137 1.6× 44 838
Hilda Vargas‐Robles 278 0.8× 114 1.0× 142 1.4× 117 1.3× 33 0.4× 42 816
Saeed Nazari Soltan Ahmad 292 0.8× 90 0.8× 74 0.7× 44 0.5× 73 0.9× 32 750
Dan Wang 483 1.4× 86 0.8× 66 0.6× 125 1.4× 126 1.5× 36 896

Countries citing papers authored by Shuo Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Pan

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