Peng Guan

30 total papers · 727 total citations
24 papers, 585 citations indexed

About

Peng Guan is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peng Guan has authored 24 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peng Guan's work include Hydrogen's biological and therapeutic effects (4 papers), Ferroptosis and cancer prognosis (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Peng Guan is often cited by papers focused on Hydrogen's biological and therapeutic effects (4 papers), Ferroptosis and cancer prognosis (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Peng Guan collaborates with scholars based in China, United States and India. Peng Guan's co-authors include En‐Sheng Ji, Na Wang, Ya‐Shuo Zhao, Zhi‐Min Sun, Jianxin Wang, Shengchang Yang, Ji‐Ren An, Yingran Liang, Jian Zhou and Yajing Guo and has published in prestigious journals such as Molecules, Life Sciences and Food and Chemical Toxicology.

In The Last Decade

Peng Guan

24 papers receiving 578 citations

Author Peers

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

Author Last Decade Papers Cites
Peng Guan 236 141 110 104 95 24 585
Joshua K. Park 157 0.7× 75 0.5× 100 0.9× 92 0.9× 48 0.5× 27 569
Chan Wu 213 0.9× 117 0.8× 46 0.4× 49 0.5× 77 0.8× 27 499
Stephen Haigh 242 1.0× 150 1.1× 52 0.5× 65 0.6× 73 0.8× 22 625
Hai‐Yan Qian 242 1.0× 69 0.5× 58 0.5× 50 0.5× 74 0.8× 19 541
T. Nakai 158 0.7× 54 0.4× 93 0.8× 172 1.7× 83 0.9× 27 560
Mikihiko Kawano 157 0.7× 45 0.3× 129 1.2× 151 1.5× 98 1.0× 25 571
Fengsheng Yu 231 1.0× 72 0.5× 79 0.7× 51 0.5× 58 0.6× 20 549
Xiao‐Bing Cui 279 1.2× 69 0.5× 82 0.7× 101 1.0× 170 1.8× 26 688
Xia Yin 254 1.1× 74 0.5× 123 1.1× 51 0.5× 143 1.5× 18 610
Bingxuan Wang 236 1.0× 120 0.9× 104 0.9× 77 0.7× 38 0.4× 20 676

Countries citing papers authored by Peng Guan

Since Specialization
Citations

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

Fields of papers citing papers by Peng Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Guan

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