Chien‐Chin Yang

11 total papers · 501 total citations
9 papers, 430 citations indexed

About

Chien‐Chin Yang is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Chien‐Chin Yang has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Genetics. Recurrent topics in Chien‐Chin Yang's work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Chien‐Chin Yang is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Chien‐Chin Yang collaborates with scholars based in Taiwan and United States. Chien‐Chin Yang's co-authors include Howard A. Nash, Carton W. Chen, Chih‐Hung Huang, Yeou‐Guang Tsay, Hsiu‐Hui Tsai, Meng-Fu Bryan Tsou, Yihong Chen, Tzu‐Wen Huang, Robert L. Jernigan and Akinori Sarai and has published in prestigious journals such as Cell, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Chien‐Chin Yang

9 papers receiving 421 citations

Author Peers

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

Author Last Decade Papers Cites
Chien‐Chin Yang 354 205 114 71 62 9 430
Wouter de Jong 276 0.8× 143 0.7× 93 0.8× 142 2.0× 74 1.2× 6 398
Shigeo Tojo 339 1.0× 245 1.2× 130 1.1× 74 1.0× 56 0.9× 14 481
Josette Gagnat 287 0.8× 80 0.4× 67 0.6× 160 2.3× 96 1.5× 10 379
Dianah Barrett 289 0.8× 172 0.8× 114 1.0× 35 0.5× 35 0.6× 8 383
Ivo M. Krab 382 1.1× 117 0.6× 31 0.3× 76 1.1× 65 1.0× 15 471
Agnieszka Kois 274 0.8× 215 1.0× 63 0.6× 110 1.5× 57 0.9× 14 375
Susan L. Harlocker 291 0.8× 229 1.1× 60 0.5× 19 0.3× 32 0.5× 8 413
Stephen L. Swanberg 345 1.0× 92 0.4× 55 0.5× 42 0.6× 53 0.9× 8 469
Aileen E Allsop 268 0.8× 95 0.5× 75 0.7× 57 0.8× 26 0.4× 9 378
Sujeet Kumar 205 0.6× 155 0.8× 89 0.8× 26 0.4× 45 0.7× 16 368

Countries citing papers authored by Chien‐Chin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Chin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Chin Yang. 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 Chien‐Chin Yang. The network helps show where Chien‐Chin Yang may publish in the future.

Co-authorship network of co-authors of Chien‐Chin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Chin Yang. A scholar is included among the top collaborators of Chien‐Chin Yang 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 Chien‐Chin Yang. Chien‐Chin Yang 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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