Ying‐Chih Chiang

83 total papers · 2.5k total citations
53 papers, 927 citations indexed

About

Ying‐Chih Chiang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Ying‐Chih Chiang has authored 53 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Atomic and Molecular Physics, and Optics and 13 papers in Spectroscopy. Recurrent topics in Ying‐Chih Chiang's work include Advanced Chemical Physics Studies (13 papers), Antimicrobial Peptides and Activities (11 papers) and Machine Learning in Bioinformatics (10 papers). Ying‐Chih Chiang is often cited by papers focused on Advanced Chemical Physics Studies (13 papers), Antimicrobial Peptides and Activities (11 papers) and Machine Learning in Bioinformatics (10 papers). Ying‐Chih Chiang collaborates with scholars based in China, Taiwan and Germany. Ying‐Chih Chiang's co-authors include Lorenz S. Cederbaum, Philipp V. Demekhin, Jing‐Ke Weng, Chia‐Ru Chung, Lantian Yao, Kirill Gokhberg, Alexander I. Kuleff, Yi Wang, Yi Wang and Nimrod Moiseyev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Ying‐Chih Chiang

49 papers receiving 919 citations

Author Peers

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

Author						Papers	Cites
Ying‐Chih Chiang	407	372	111	69	64	53	927
Yuya O. Nakagawa	264 0.6×	384 1.0×	29 0.3×	35 0.5×	44 0.7×	38	1.1k
Jerzy Czaplicki	774 1.9×	121 0.3×	147 1.3×	40 0.6×	33 0.5×	40	1.1k
Yuri Gerelli	737 1.8×	223 0.6×	82 0.7×	20 0.3×	114 1.8×	63	1.2k
Dolores Díaz	653 1.6×	95 0.3×	199 1.8×	56 0.8×	104 1.6×	44	1.1k
Elena Ermakova	464 1.1×	114 0.3×	48 0.4×	57 0.8×	74 1.2×	63	914
Liangzhen Zheng	404 1.0×	206 0.6×	18 0.2×	37 0.5×	77 1.2×	47	835
Pierre Tancrède	477 1.2×	156 0.4×	98 0.9×	20 0.3×	47 0.7×	40	1.0k
M. Florencia Martini	643 1.6×	154 0.4×	67 0.6×	43 0.6×	57 0.9×	60	1.0k
Jožica Dolenc	757 1.9×	214 0.6×	156 1.4×	17 0.2×	12 0.2×	50	1.2k
S. K. Das Gupta	700 1.7×	194 0.5×	391 3.5×	26 0.4×	10 0.2×	25	1.1k

Countries citing papers authored by Ying‐Chih Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Ying‐Chih Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Chih Chiang. 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 Ying‐Chih Chiang. The network helps show where Ying‐Chih Chiang may publish in the future.

Co-authorship network of co-authors of Ying‐Chih Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Chih Chiang. A scholar is included among the top collaborators of Ying‐Chih Chiang 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 Ying‐Chih Chiang. Ying‐Chih Chiang 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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