Jiin‐Tsuey Cheng

17 total papers · 586 total citations
17 papers, 453 citations indexed

About

Jiin‐Tsuey Cheng is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jiin‐Tsuey Cheng has authored 17 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jiin‐Tsuey Cheng's work include Pain Mechanisms and Treatments (4 papers), Nerve injury and regeneration (3 papers) and Ubiquitin and proteasome pathways (2 papers). Jiin‐Tsuey Cheng is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Nerve injury and regeneration (3 papers) and Ubiquitin and proteasome pathways (2 papers). Jiin‐Tsuey Cheng collaborates with scholars based in Taiwan, United States and Czechia. Jiin‐Tsuey Cheng's co-authors include Chung‐Ren Lin, Chi‐Ying F. Huang, Yi‐Ren Hong, Huey-Jiun Ko, Kuan‐Hung Chen, Tai-Shan Cheng, Chihuei Wang, Chun‐Li Su, Lin-Cheng Yang and Ping-Heng Tan and has published in prestigious journals such as PLoS ONE, Journal of Virology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jiin‐Tsuey Cheng

17 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Jiin‐Tsuey Cheng 247 72 61 53 52 17 453
Kristin Hauff 274 1.1× 63 0.9× 52 0.9× 44 0.8× 42 0.8× 17 451
Cindy Baldwin 322 1.3× 28 0.4× 47 0.8× 44 0.8× 37 0.7× 24 537
Mark McCormack 207 0.8× 45 0.6× 32 0.5× 80 1.5× 22 0.4× 23 540
B. Schwartz 220 0.9× 82 1.1× 26 0.4× 100 1.9× 39 0.8× 23 507
Z Albert 180 0.7× 99 1.4× 47 0.8× 92 1.7× 37 0.7× 25 544
Alessandra Scagliola 322 1.3× 55 0.8× 79 1.3× 33 0.6× 35 0.7× 14 477
Yuelei Jin 265 1.1× 44 0.6× 47 0.8× 70 1.3× 28 0.5× 15 496
Marie C. Chia 232 0.9× 52 0.7× 33 0.5× 112 2.1× 29 0.6× 15 405
Yimao Zhang 287 1.2× 65 0.9× 23 0.4× 89 1.7× 43 0.8× 18 504
Kyoko Tsuchiya 200 0.8× 72 1.0× 34 0.6× 35 0.7× 84 1.6× 16 408

Countries citing papers authored by Jiin‐Tsuey Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jiin‐Tsuey Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiin‐Tsuey Cheng. 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 Jiin‐Tsuey Cheng. The network helps show where Jiin‐Tsuey Cheng may publish in the future.

Co-authorship network of co-authors of Jiin‐Tsuey Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiin‐Tsuey Cheng. A scholar is included among the top collaborators of Jiin‐Tsuey Cheng 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 Jiin‐Tsuey Cheng. Jiin‐Tsuey Cheng 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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