Hong Ren

91 total papers · 1.0k total citations
36 papers, 603 citations indexed

About

Hong Ren is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Hong Ren has authored 36 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Hong Ren's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Hong Ren is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Hong Ren collaborates with scholars based in China, United States and Canada. Hong Ren's co-authors include Wei Shen, Mingli Peng, Peng Hu, Yonghui Zhang, Chuanbiao Wen, Huan Yang, Yanxiong Gan, Jan P. A. Baak, Shuang Li and Weiguang Sun and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Hong Ren

35 papers receiving 596 citations

Hit Papers

TaxonKit: A practical and... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Hong Ren 242 139 123 100 61 36 603
John T. Williams 172 0.7× 129 0.9× 112 0.9× 48 0.5× 29 0.5× 22 547
Qingwen Sun 292 1.2× 86 0.6× 102 0.8× 34 0.3× 54 0.9× 58 651
Jin Xiong 176 0.7× 209 1.5× 63 0.5× 30 0.3× 46 0.8× 31 561
Sang‐In Chung 276 1.1× 153 1.1× 68 0.6× 45 0.5× 24 0.4× 25 650
Ter-Hsin Chen 194 0.8× 79 0.6× 133 1.1× 37 0.4× 30 0.5× 24 689
Zhenhong Chen 273 1.1× 68 0.5× 89 0.7× 79 0.8× 15 0.2× 30 655
Haruyuki Nakayama 326 1.3× 117 0.8× 64 0.5× 34 0.3× 30 0.5× 14 547
Zhihao Wang 295 1.2× 62 0.4× 54 0.4× 46 0.5× 23 0.4× 38 615
Xinfen Yu 131 0.5× 113 0.8× 167 1.4× 28 0.3× 54 0.9× 24 577
Min Zhao 264 1.1× 112 0.8× 105 0.9× 47 0.5× 22 0.4× 38 650

Countries citing papers authored by Hong Ren

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ren

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