Kai S. Yang

2.1k total citations
39 papers, 1.3k citations indexed

About

Kai S. Yang is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Kai S. Yang has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Infectious Diseases and 12 papers in Computational Theory and Mathematics. Recurrent topics in Kai S. Yang's work include Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and interferon and immune responses (4 papers). Kai S. Yang is often cited by papers focused on Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and interferon and immune responses (4 papers). Kai S. Yang collaborates with scholars based in China, United States and Netherlands. Kai S. Yang's co-authors include Chen Wang, Shiqing Xu, Wenshe Ray Liu, Shaogang Sun, Bianhong Zhang, Yujie Tang, Bo Wei, Xing Liu, Bo Wei and She Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Kai S. Yang

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai S. Yang China	20	556	532	319	201	200	39	1.3k
Yaoxing Wu China	19	617 1.1×	693 1.3×	507 1.6×	138 0.7×	389 1.9×	35	1.5k
Holger A. Lindner Germany	16	278 0.5×	437 0.8×	265 0.8×	91 0.5×	114 0.6×	42	1.0k
Marc Aumercier France	20	428 0.8×	668 1.3×	313 1.0×	43 0.2×	306 1.5×	43	1.5k
Xiaofeng Li China	24	458 0.8×	805 1.5×	314 1.0×	47 0.2×	389 1.9×	166	1.9k
Valentyn Oksenych Norway	21	249 0.4×	1.4k 2.7×	310 1.0×	106 0.5×	200 1.0×	108	2.1k
Mizuki Yamamoto Japan	16	163 0.3×	473 0.9×	466 1.5×	131 0.7×	83 0.4×	42	1.1k
Barbara Clough United Kingdom	25	393 0.7×	733 1.4×	116 0.4×	101 0.5×	475 2.4×	38	1.8k
Zongyang Lv United States	15	247 0.4×	810 1.5×	390 1.2×	228 1.1×	372 1.9×	23	1.3k
Huanyu Tao China	12	128 0.2×	995 1.9×	246 0.8×	179 0.9×	86 0.4×	21	1.5k
Mustafa Ulaşlı Türkiye	16	159 0.3×	613 1.2×	628 2.0×	57 0.3×	299 1.5×	35	1.6k

Countries citing papers authored by Kai S. Yang

Since Specialization

Citations

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

Fields of papers citing papers by Kai S. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai S. 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 Kai S. Yang. The network helps show where Kai S. Yang may publish in the future.

Co-authorship network of co-authors of Kai S. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai S. Yang. A scholar is included among the top collaborators of Kai S. 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 Kai S. Yang. Kai S. 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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20 of 20 papers shown

Tang, Tao, et al.. (2024). Online nonlinearity elimination for fringe projection profilometry using slope intensity coding. Journal of Optics. 26(9). 95704–95704.

Khatua, Kaustav, Yugendar R. Alugubelli, Kai S. Yang, et al.. (2024). Azapeptides with unique covalent warheads as SARS-CoV-2 main protease inhibitors. Antiviral Research. 225. 105874–105874. 7 indexed citations

Yang, Kai S., Lauren R. Blankenship, Pingwei Li, et al.. (2023). A Novel Y-Shaped, S–O–N–O–S-Bridged Cross-Link between Three Residues C22, C44, and K61 Is Frequently Observed in the SARS-CoV-2 Main Protease. ACS Chemical Biology. 18(3). 449–455. 10 indexed citations

Yang, Kai S., et al.. (2023). Importance of serum IRAK3 as a biochemical marker in relation to severity and neurological outcome of human severe traumatic brain injury: A prospective longitudinal cohort study. Clinica Chimica Acta. 553. 117754–117754. 1 indexed citations

Morse, Jared S., Yugendar R. Alugubelli, Kai S. Yang, et al.. (2022). Phage‐assisted , active site‐directed ligand evolution of a potent and selective histone deacetylase 8 inhibitor. Protein Science. 31(12). e4512–e4512. 7 indexed citations

Alugubelli, Yugendar R., Zhi Geng, Kai S. Yang, et al.. (2022). A systematic exploration of boceprevir-based main protease inhibitors as SARS-CoV-2 antivirals. European Journal of Medicinal Chemistry. 240. 114596–114596. 33 indexed citations

Vatansever, Erol C., Kai S. Yang, Zhi Geng, et al.. (2022). A Designed, Highly Efficient Pyrrolysyl-tRNA Synthetase Mutant Binds o-Chlorophenylalanine Using Two Halogen Bonds. Journal of Molecular Biology. 434(8). 167534–167534. 5 indexed citations

Yang, Kai S., et al.. (2022). An Enhanced Hybrid Screening Approach to Identify Potent Inhibitors for the SARS-CoV-2 Main Protease From the NCI Compound Library. Frontiers in Chemistry. 10. 816576–816576. 6 indexed citations

Yang, Kai S., Lauren R. Blankenship, Zhi Geng, et al.. (2022). Repurposing Halicin as a potent covalent inhibitor for the SARS-CoV-2 main protease. SHILAP Revista de lepidopterología. 2. 100025–100025. 11 indexed citations

10.

Ma, Yuying, Kai S. Yang, Zhi Geng, et al.. (2022). A multi-pronged evaluation of aldehyde-based tripeptidyl main protease inhibitors as SARS-CoV-2 antivirals. European Journal of Medicinal Chemistry. 240. 114570–114570. 28 indexed citations

11.

Vatansever, Erol C., Kai S. Yang, Aleksandra Drelich, et al.. (2021). Bepridil is potent against SARS-CoV-2 in vitro. Proceedings of the National Academy of Sciences. 118(10). 82 indexed citations

12.

Yang, Kai S., et al.. (2016). Crystal Structure of the ERp44-Peroxiredoxin 4 Complex Reveals the Molecular Mechanisms of Thiol-Mediated Protein Retention. Structure. 24(10). 1755–1765. 37 indexed citations

13.

Hong, Xinru, Xiaoqiu Chen, Huijuan Huang, et al.. (2016). Effects of Prenatal PM10 Exposure on Fetal Cardiovascular Malformations in Fuzhou, China: A Retrospective Case–Control Study. Environmental Health Perspectives. 125(5). 57001–57001. 28 indexed citations

14.

Zhu, Li, et al.. (2014). A Novel Reaction of Peroxiredoxin 4 towards Substrates in Oxidative Protein Folding. PLoS ONE. 9(8). e105529–e105529. 23 indexed citations

15.

Yang, Kai S., et al.. (2009). TRIM21 Is Essential to Sustain IFN Regulatory Factor 3 Activation during Antiviral Response. The Journal of Immunology. 182(6). 3782–3792. 146 indexed citations

16.

Zhang, Bianhong, Liang Chen, Kai S. Yang, et al.. (2009). The TAK1-JNK cascade is required for IRF3 function in the innate immune response. Cell Research. 19(4). 412–428. 52 indexed citations

17.

Yang, Kai S., Hexin Shi, Rong Qi, et al.. (2006). Hsp90 Regulates Activation of Interferon Regulatory Factor 3 and TBK-1 Stabilization in Sendai Virus-infected Cells. Molecular Biology of the Cell. 17(3). 1461–1471. 85 indexed citations

18.

Zhang, Bianhong, Chenghao Xuan, Shaogang Sun, et al.. (2005). Activation of c-Jun N-terminal kinase (JNK) pathway by HSV-1 immediate early protein ICP0. Experimental Cell Research. 308(1). 196–210. 36 indexed citations

19.

Zhang, Bianhong, Junkai Fan, Xiang Gao, et al.. (2004). Herpes virus proteins ICP0 and BICP0 can activate NF-κB by catalyzing IκBα ubiquitination. Cellular Signalling. 17(2). 217–229. 62 indexed citations

20.

Yang, Kai S., Jianmei Zhu, Shaogang Sun, et al.. (2004). The coiled-coil domain of TRAF6 is essential for its auto-ubiquitination. Biochemical and Biophysical Research Communications. 324(1). 432–439. 48 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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