Yuan Chi

28 total papers · 1.5k total citations
20 papers, 726 citations indexed

About

Yuan Chi is a scholar working on Molecular Biology, Urology and Plant Science. According to data from OpenAlex, Yuan Chi has authored 20 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Urology and 3 papers in Plant Science. Recurrent topics in Yuan Chi's work include Connexins and lens biology (11 papers), Heat shock proteins research (5 papers) and Urinary Bladder and Prostate Research (3 papers). Yuan Chi is often cited by papers focused on Connexins and lens biology (11 papers), Heat shock proteins research (5 papers) and Urinary Bladder and Prostate Research (3 papers). Yuan Chi collaborates with scholars based in Japan, China and United States. Yuan Chi's co-authors include Jian Yao, Kun Gao, Masayuki Takeda, Masanori Kitamura, Hiroyuki Matsue, Ying Zhu, Fei-Hua Wu, Zhen‐Ming Pei, William G. Walton and Jeffery L. Dangl and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Yuan Chi

20 papers receiving 722 citations

Hit Papers

Plant “helper” immune rec... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yuan Chi 380 255 54 52 41 20 726
Sungho Shin 389 1.0× 146 0.6× 29 0.5× 36 0.7× 22 0.5× 32 717
Wei Hao 234 0.6× 132 0.5× 56 1.0× 125 2.4× 15 0.4× 17 729
Mami Suzuki 320 0.8× 196 0.8× 34 0.6× 60 1.2× 140 3.4× 35 811
Lorenzo Rinaldi 429 1.1× 82 0.3× 20 0.4× 42 0.8× 12 0.3× 13 731
Shiow-Chwen Tsai 230 0.6× 73 0.3× 93 1.7× 24 0.5× 8 0.2× 23 640
Barbara De Servi 363 1.0× 128 0.5× 103 1.9× 95 1.8× 9 0.2× 24 744
Roberta Lucciarini 357 0.9× 41 0.2× 87 1.6× 119 2.3× 33 0.8× 20 884
Krishna Dalal 198 0.5× 82 0.3× 40 0.7× 21 0.4× 23 0.6× 19 726
Valentina Pagliara 334 0.9× 39 0.2× 34 0.6× 45 0.9× 14 0.3× 26 667
Kun Yeong Lee 430 1.1× 161 0.6× 34 0.6× 131 2.5× 22 0.5× 17 824

Countries citing papers authored by Yuan Chi

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Chi

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