Tianyi Ren

51 total papers · 1.3k total citations
30 papers, 758 citations indexed

About

Tianyi Ren is a scholar working on Epidemiology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tianyi Ren has authored 30 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 11 papers in Molecular Biology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Tianyi Ren's work include Liver Disease Diagnosis and Treatment (16 papers), Alcohol Consumption and Health Effects (10 papers) and Diet, Metabolism, and Disease (5 papers). Tianyi Ren is often cited by papers focused on Liver Disease Diagnosis and Treatment (16 papers), Alcohol Consumption and Health Effects (10 papers) and Diet, Metabolism, and Disease (5 papers). Tianyi Ren collaborates with scholars based in China, United States and Germany. Tianyi Ren's co-authors include Bin Gao, Seonghwan Hwang, Dechun Feng, Yong He, Wonhyo Seo, Xiaogang Xiang, Seol Hee Park, Jing Ma, Jian‐Gao Fan and Suthat Liangpunsakul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Hepatology.

In The Last Decade

Tianyi Ren

29 papers receiving 749 citations

Author Peers

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

Author Last Decade Papers Cites
Tianyi Ren 399 237 210 164 114 30 758
Kyle L. Poulsen 450 1.1× 252 1.1× 129 0.6× 166 1.0× 182 1.6× 29 858
Keane K. Y. Lai 264 0.7× 344 1.5× 98 0.5× 131 0.8× 53 0.5× 26 739
Hongqin Xu 502 1.3× 193 0.8× 164 0.8× 332 2.0× 46 0.4× 46 872
Jaswinder Singh Maras 363 0.9× 239 1.0× 110 0.5× 244 1.5× 66 0.6× 61 737
Masato Tsuchiya 225 0.6× 226 1.0× 99 0.5× 169 1.0× 165 1.4× 42 766
Irina Tikhanovich 208 0.5× 503 2.1× 152 0.7× 81 0.5× 107 0.9× 32 813
Adam Kim 276 0.7× 287 1.2× 200 1.0× 64 0.4× 101 0.9× 33 723
Fernando Magdaleno 361 0.9× 157 0.7× 89 0.4× 254 1.5× 64 0.6× 30 751
Seiichi Mawatari 380 1.0× 143 0.6× 84 0.4× 229 1.4× 99 0.9× 48 724
Yanying Xu 261 0.7× 242 1.0× 75 0.4× 149 0.9× 65 0.6× 16 679

Countries citing papers authored by Tianyi Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Ren

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