Chi-Chang Weng

46 total papers · 959 total citations
26 papers, 715 citations indexed

About

Chi-Chang Weng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Chi-Chang Weng has authored 26 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Chi-Chang Weng's work include Alzheimer's disease research and treatments (5 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Receptor Mechanisms and Signaling (4 papers). Chi-Chang Weng is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Pharmacological Receptor Mechanisms and Effects (5 papers) and Receptor Mechanisms and Signaling (4 papers). Chi-Chang Weng collaborates with scholars based in United States, Taiwan and Zimbabwe. Chi-Chang Weng's co-authors include Robert H. Mach, Chenbo Zeng, Catherine Hou, Mehran Makvandi, Aladdin Riad, Kuiying Xu, Mark A. Sellmyer, David A. Mankoff, Kun‐Ju Lin and Sean Carlin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Chi-Chang Weng

23 papers receiving 705 citations

Author Peers

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

Author Last Decade Papers Cites
Chi-Chang Weng 315 136 134 117 113 26 715
Yuxiang Han 290 0.9× 114 0.8× 83 0.6× 86 0.7× 68 0.6× 38 686
Sosuke Miyoshi 327 1.0× 116 0.9× 77 0.6× 109 0.9× 101 0.9× 37 768
Silvia Paradisi 296 0.9× 102 0.8× 99 0.7× 49 0.4× 253 2.2× 29 794
Elizabeth Webb 246 0.8× 104 0.8× 155 1.2× 72 0.6× 32 0.3× 19 743
Bart P. Keogh 315 1.0× 175 1.3× 73 0.5× 140 1.2× 156 1.4× 28 811
Jan Stenzel 191 0.6× 168 1.2× 65 0.5× 108 0.9× 201 1.8× 33 670
C. W. Song 390 1.2× 128 0.9× 83 0.6× 136 1.2× 55 0.5× 22 881
Victoria Shaw 223 0.7× 280 2.1× 195 1.5× 202 1.7× 74 0.7× 32 857
Caroline Sodja 498 1.6× 106 0.8× 116 0.9× 41 0.4× 85 0.8× 30 892
Shailendra K. Sahu 379 1.2× 57 0.4× 98 0.7× 73 0.6× 140 1.2× 40 852

Countries citing papers authored by Chi-Chang Weng

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Chang Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi-Chang Weng

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