Kun‐Yi Hsin

1.3k total citations · 1 hit paper
14 papers, 884 citations indexed

About

Kun‐Yi Hsin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Kun‐Yi Hsin has authored 14 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Kun‐Yi Hsin's work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers) and Enzyme Structure and Function (4 papers). Kun‐Yi Hsin is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers) and Enzyme Structure and Function (4 papers). Kun‐Yi Hsin collaborates with scholars based in Japan, Taiwan and United Kingdom. Kun‐Yi Hsin's co-authors include Hiroaki Kitano, Samik Ghosh, Yoshiyuki Asai, Yukiko Matsuoka, Malcolm D. Walkinshaw, Paul Taylor, Yukiko Matsuoka, Yoshihiro Kawaoka, Tokiko Watanabe and Margaret M. Harding and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Reviews Genetics.

In The Last Decade

Kun‐Yi Hsin

14 papers receiving 872 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combining Machine Learning Systems and Multiple Docking Simulation Packages to Improve Docking Prediction Reliability for Network Pharmacology

2013 398 citations Kun‐Yi Hsin, Samik Ghosh et al. PLoS ONE profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kun‐Yi Hsin Japan	9	538	168	156	109	89	14	884
Ni Ai China	20	621 1.2×	154 0.9×	129 0.8×	86 0.8×	147 1.7×	33	1.0k
Angelo Pugliese United States	16	586 1.1×	136 0.8×	211 1.4×	106 1.0×	51 0.6×	23	1.1k
Chun‐Zhi Ai China	19	472 0.9×	256 1.5×	127 0.8×	105 1.0×	59 0.7×	46	889
Yingxue Fu China	18	590 1.1×	229 1.4×	299 1.9×	156 1.4×	185 2.1×	48	1.1k
Yuming Wang China	18	507 0.9×	303 1.8×	50 0.3×	113 1.0×	184 2.1×	49	891
Cristian Nogales Netherlands	6	470 0.9×	164 1.0×	171 1.1×	90 0.8×	112 1.3×	12	899
Yihang Shen China	4	741 1.4×	248 1.5×	351 2.3×	199 1.8×	146 1.6×	4	1.3k
Ziyin Wu China	13	328 0.6×	139 0.8×	222 1.4×	80 0.7×	121 1.4×	18	561
Stefania Bilotto Italy	12	535 1.0×	96 0.6×	57 0.4×	110 1.0×	74 0.8×	19	1.3k
Shanshan Wei China	16	605 1.1×	218 1.3×	51 0.3×	89 0.8×	99 1.1×	51	1.3k

Countries citing papers authored by Kun‐Yi Hsin

Since Specialization

Citations

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

Fields of papers citing papers by Kun‐Yi Hsin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Yi Hsin. 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 Kun‐Yi Hsin. The network helps show where Kun‐Yi Hsin may publish in the future.

Co-authorship network of co-authors of Kun‐Yi Hsin

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Yi Hsin. A scholar is included among the top collaborators of Kun‐Yi Hsin 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 Kun‐Yi Hsin. Kun‐Yi Hsin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Su, Yu-Cheng, et al.. (2023). MESPEUS: a database of metal coordination groups in proteins. Nucleic Acids Research. 52(D1). D483–D493. 10 indexed citations

Hsin, Kun‐Yi, et al.. (2023). The Defeathering Effect by Scalding in Chickens Follows Their Intrinsic Dermal Histologies. Animals. 13(16). 2584–2584. 2 indexed citations

Hsiao, Wen‐Chi, Kun‐Yi Hsin, Jen‐Shin Song, et al.. (2022). Modulating the affinity and signaling bias of cannabinoid receptor 1 antagonists. Bioorganic Chemistry. 130. 106236–106236. 2 indexed citations

Hsin, Kun‐Yi, et al.. (2022). Effects of Hard and Soft Scalding on Defeathering and Carcass Quality of Different Breeds of Chickens. Animals. 12(22). 3145–3145. 5 indexed citations

Hsin, Kun‐Yi, et al.. (2019). A structure-function approach identifies L-PGDS as a mediator responsible for glucocorticoid-induced leptin expression in adipocytes. Biochemical Pharmacology. 166. 203–211. 6 indexed citations

Hsin, Kun‐Yi, Yukiko Matsuoka, Yoshiyuki Asai, et al.. (2016). systemsDock: a web server for network pharmacology-based prediction and analysis. Nucleic Acids Research. 44(W1). W507–W513. 132 indexed citations

Hsin, Kun‐Yi, Hiroaki Kitano, Yukiko Matsuoka, & Samik Ghosh. (2015). Application of machine leaning approaches in drug target identification and network pharmacology. 219–219. 2 indexed citations

Hsin, Kun‐Yi, Samik Ghosh, & Hiroaki Kitano. (2013). Combining Machine Learning Systems and Multiple Docking Simulation Packages to Improve Docking Prediction Reliability for Network Pharmacology. PLoS ONE. 8(12). e83922–e83922. 398 indexed citations breakdown →

Harding, Marjorie M. & Kun‐Yi Hsin. (2013). Mespeus—A Database of Metal Interactions with Proteins. Methods in molecular biology. 1091. 333–342. 21 indexed citations

10.

Ghosh, Samik, Yukiko Matsuoka, Yoshiyuki Asai, Kun‐Yi Hsin, & Hiroaki Kitano. (2013). Toward an integrated software platform for systems pharmacology. Biopharmaceutics & Drug Disposition. 34(9). 508–526. 11 indexed citations

11.

Ghosh, Samik, Yukiko Matsuoka, Yoshiyuki Asai, Kun‐Yi Hsin, & Hiroaki Kitano. (2011). Software for systems biology: from tools to integrated platforms. Nature Reviews Genetics. 12(12). 821–832. 180 indexed citations

12.

Hsin, Kun‐Yi, Hugh P. Morgan, Steven Shave, et al.. (2010). EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities. Nucleic Acids Research. 39(suppl_1). D1042–D1048. 16 indexed citations

13.

Morgan, Hugh P., I.W. McNae, Kun‐Yi Hsin, et al.. (2010). An improved strategy for the crystallization ofLeishmania mexicanapyruvate kinase. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 66(3). 215–218. 13 indexed citations

14.

Hsin, Kun‐Yi, Yujie Sheng, Margaret M. Harding, Paul Taylor, & Malcolm D. Walkinshaw. (2008). MESPEUS: a database of the geometry of metal sites in proteins. Journal of Applied Crystallography. 41(5). 963–968. 86 indexed citations

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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