Peihong Wu

12 total papers · 1.0k total citations
7 papers, 633 citations indexed

About

Peihong Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Peihong Wu has authored 7 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Peihong Wu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Management and Research (2 papers). Peihong Wu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Management and Research (2 papers). Peihong Wu collaborates with scholars based in China. Peihong Wu's co-authors include Jie Hong, Guang Ning, Yifei Zhang, Wei Liu, Dajin Zou, M Kellis, Na Zhu, Li Huo, Miao Wang and Jialin Yang and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and BMJ Open.

In The Last Decade

Peihong Wu

6 papers receiving 622 citations

Hit Papers

Treatment of Type 2 Diabe... 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Peihong Wu 346 244 234 121 91 7 633
Jinfeng Tang 253 0.7× 151 0.6× 200 0.9× 82 0.7× 58 0.6× 7 560
Xing Hui-li 436 1.3× 177 0.7× 365 1.6× 186 1.5× 185 2.0× 5 755
Zhaoyi Huang 192 0.6× 91 0.4× 274 1.2× 118 1.0× 42 0.5× 19 775
Rong Xue 442 1.3× 151 0.6× 324 1.4× 190 1.6× 105 1.2× 12 772
Jean‐Marie Brusq 177 0.5× 108 0.4× 301 1.3× 72 0.6× 38 0.4× 8 626
Yong Chun Jin 86 0.2× 121 0.5× 264 1.1× 76 0.6× 89 1.0× 12 704
P. Mark Stavro 95 0.3× 102 0.4× 373 1.6× 191 1.6× 66 0.7× 14 763
Sayel Daoud 111 0.3× 84 0.3× 165 0.7× 89 0.7× 97 1.1× 15 663
Rataya Luechapudiporn 104 0.3× 190 0.8× 194 0.8× 70 0.6× 46 0.5× 19 618
Marko Škoda 101 0.3× 66 0.3× 219 0.9× 175 1.4× 115 1.3× 9 753

Countries citing papers authored by Peihong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Peihong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peihong Wu

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