Baoyi Guan

26 total papers · 775 total citations
18 papers, 542 citations indexed

About

Baoyi Guan is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Baoyi Guan has authored 18 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Baoyi Guan's work include Metabolomics and Mass Spectrometry Studies (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Cancer-related molecular mechanisms research (2 papers). Baoyi Guan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Cancer-related molecular mechanisms research (2 papers). Baoyi Guan collaborates with scholars based in China, United States and United Kingdom. Baoyi Guan's co-authors include Anlu Wang, Luxia Song, Yixuan Fan, Keji Chen, Hao Xu, Tongxin Wang, Dan Ma, Haiping Hao, Hao Xu and Zhu-ye Gao and has published in prestigious journals such as Frontiers in Immunology, Journal of Ethnopharmacology and Thrombosis and Haemostasis.

In The Last Decade

Baoyi Guan

17 papers receiving 538 citations

Author Peers

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

Author Last Decade Papers Cites
Baoyi Guan 219 86 85 83 79 18 542
Yuping Zhang 213 1.0× 95 1.1× 122 1.4× 81 1.0× 55 0.7× 25 536
Chiara Armani 228 1.0× 72 0.8× 124 1.5× 52 0.6× 111 1.4× 19 551
Luxia Song 167 0.8× 51 0.6× 117 1.4× 86 1.0× 70 0.9× 11 564
Lijun Sun 267 1.2× 150 1.7× 81 1.0× 102 1.2× 106 1.3× 25 600
Lizhen Shan 187 0.9× 47 0.5× 61 0.7× 116 1.4× 86 1.1× 17 469
Rita Paltriccia 203 0.9× 64 0.7× 88 1.0× 63 0.8× 121 1.5× 24 525
Michael M. Braun 128 0.6× 58 0.7× 141 1.7× 94 1.1× 107 1.4× 19 556
Caroline J. Bull 157 0.7× 94 1.1× 55 0.6× 116 1.4× 97 1.2× 19 506
Giovanna Baccante 172 0.8× 100 1.2× 50 0.6× 60 0.7× 95 1.2× 19 546
Seung Jun Kim 141 0.6× 96 1.1× 73 0.9× 72 0.9× 63 0.8× 20 570

Countries citing papers authored by Baoyi Guan

Since Specialization
Citations

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

Fields of papers citing papers by Baoyi Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyi Guan

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