Tzu-Hsien Yang

44 total papers · 651 total citations
32 papers, 438 citations indexed

About

Tzu-Hsien Yang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cancer Research. According to data from OpenAlex, Tzu-Hsien Yang has authored 32 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Electrical and Electronic Engineering and 4 papers in Cancer Research. Recurrent topics in Tzu-Hsien Yang's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and Bioinformatics and Genomic Networks (7 papers). Tzu-Hsien Yang is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Chromatin Dynamics (8 papers) and Bioinformatics and Genomic Networks (7 papers). Tzu-Hsien Yang collaborates with scholars based in Taiwan, United States and India. Tzu-Hsien Yang's co-authors include Jui‐Hung Hung, Zhiping Weng, Z. Hu, Charles DeLisi, Wei Wu, Wei-Sheng Wu, Chung‐Yu Wang, Yu‐Chao Wang, Wei Wu and Ying-Hsi Lin and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Electrochimica Acta.

In The Last Decade

Tzu-Hsien Yang

27 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Tzu-Hsien Yang	321	56	35	28	28	32	438
Bingyu Ye	229 0.7×	123 2.2×	27 0.8×	15 0.5×	22 0.8×	25	401
Mingqiu Hu	191 0.6×	46 0.8×	25 0.7×	41 1.5×	23 0.8×	33	369
Yury D. Nechipurenko	346 1.1×	65 1.2×	52 1.5×	15 0.5×	7 0.3×	27	468
Maria Hammond	302 0.9×	39 0.7×	25 0.7×	17 0.6×	22 0.8×	17	417
Yunshan Wang	219 0.7×	80 1.4×	27 0.8×	31 1.1×	9 0.3×	30	374
Di Sun	286 0.9×	126 2.3×	21 0.6×	38 1.4×	15 0.5×	29	450
Guoping Wang	298 0.9×	71 1.3×	10 0.3×	13 0.5×	14 0.5×	32	446
Pallavi Agarwal	166 0.5×	67 1.2×	30 0.9×	22 0.8×	6 0.2×	34	376
Lida Xu	372 1.2×	35 0.6×	26 0.7×	10 0.4×	16 0.6×	34	461
Jie Mo	311 1.0×	96 1.7×	30 0.9×	27 1.0×	13 0.5×	26	452

Countries citing papers authored by Tzu-Hsien Yang

Since Specialization

Citations

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

Fields of papers citing papers by Tzu-Hsien Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Hsien 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 Tzu-Hsien Yang. The network helps show where Tzu-Hsien Yang may publish in the future.

Co-authorship network of co-authors of Tzu-Hsien Yang

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