Guanyu Ruan

33 total papers · 524 total citations
25 papers, 371 citations indexed

About

Guanyu Ruan is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Guanyu Ruan has authored 25 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Guanyu Ruan's work include Cervical Cancer and HPV Research (12 papers), Genital Health and Disease (7 papers) and Ovarian cancer diagnosis and treatment (4 papers). Guanyu Ruan is often cited by papers focused on Cervical Cancer and HPV Research (12 papers), Genital Health and Disease (7 papers) and Ovarian cancer diagnosis and treatment (4 papers). Guanyu Ruan collaborates with scholars based in China, Germany and Canada. Guanyu Ruan's co-authors include Pengming Sun, Xiaodan Mao, Binhua Dong, Yiyi Song, Jalid Sehouli, An Jian, Lihua Chen, Meimei Huang, Weiyi Huang and Alexander Mustea and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Access and Journal of Translational Medicine.

In The Last Decade

Guanyu Ruan

24 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Guanyu Ruan 184 109 78 70 49 25 371
Najla Al-Harbi 124 0.7× 166 1.5× 68 0.9× 86 1.2× 98 2.0× 26 419
Gauri Gandhi 146 0.8× 132 1.2× 48 0.6× 104 1.5× 78 1.6× 36 395
Xiyi Jiang 87 0.5× 134 1.2× 71 0.9× 117 1.7× 149 3.0× 25 406
Anant Karalak 214 1.2× 121 1.1× 96 1.2× 66 0.9× 126 2.6× 33 405
Daniel Marrero–Rodríguez 106 0.6× 141 1.3× 73 0.9× 69 1.0× 39 0.8× 43 387
Shang‐Lang Huang 122 0.7× 195 1.8× 67 0.9× 111 1.6× 111 2.3× 23 444
Jing Lu 68 0.4× 104 1.0× 28 0.4× 35 0.5× 88 1.8× 23 392
Yan Song 154 0.8× 143 1.3× 130 1.7× 78 1.1× 141 2.9× 33 418
Dorthe Ørnskov 202 1.1× 119 1.1× 96 1.2× 24 0.3× 120 2.4× 23 361
Theofano Orfanelli 83 0.5× 103 0.9× 49 0.6× 55 0.8× 100 2.0× 31 351

Countries citing papers authored by Guanyu Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Guanyu Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanyu Ruan

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