Sin‐Jhong Cheng

19 total papers · 447 total citations
15 papers, 357 citations indexed

About

Sin‐Jhong Cheng is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Sin‐Jhong Cheng has authored 15 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Sin‐Jhong Cheng's work include Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adenosine and Purinergic Signaling (3 papers). Sin‐Jhong Cheng is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adenosine and Purinergic Signaling (3 papers). Sin‐Jhong Cheng collaborates with scholars based in Taiwan, United States and United Kingdom. Sin‐Jhong Cheng's co-authors include Ming‐Yuan Min, Wei‐Hsin Chen, Wang‐Tso Lee, Yi‐Ping Hsueh, Yi‐Wen Lin, Chia‐Wen Lin, Chiung-Ya Chen, Tsuyoshi Kataoka, Atsumichi Tachibana and Shinji Miyake and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Sin‐Jhong Cheng

15 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Sin‐Jhong Cheng 139 136 86 55 41 15 357
Guangjian Qi 97 0.7× 155 1.1× 54 0.6× 53 1.0× 45 1.1× 12 363
Liming Qin 120 0.9× 134 1.0× 30 0.3× 82 1.5× 48 1.2× 13 303
Yuji Kamikubo 188 1.4× 188 1.4× 93 1.1× 58 1.1× 50 1.2× 27 402
Shujiang Shang 84 0.6× 190 1.4× 95 1.1× 28 0.5× 44 1.1× 10 378
Nádia Rei 132 0.9× 114 0.8× 74 0.9× 67 1.2× 26 0.6× 14 384
Jean-Louis Molat 177 1.3× 104 0.8× 195 2.3× 47 0.9× 43 1.0× 16 362
Yoshikazu Nikaido 100 0.7× 95 0.7× 76 0.9× 49 0.9× 43 1.0× 26 339
Lili Li 127 0.9× 130 1.0× 164 1.9× 19 0.3× 23 0.6× 21 369
H. Heinsen 147 1.1× 96 0.7× 51 0.6× 96 1.7× 28 0.7× 19 350
Ji‐Wei Tan 93 0.7× 93 0.7× 39 0.5× 74 1.3× 78 1.9× 9 339

Countries citing papers authored by Sin‐Jhong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Sin‐Jhong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sin‐Jhong Cheng

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