Ya‐Hui Chi

2.8k total citations
63 papers, 2.1k citations indexed

About

Ya‐Hui Chi is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Ya‐Hui Chi has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Cell Biology and 7 papers in Immunology. Recurrent topics in Ya‐Hui Chi's work include Nuclear Structure and Function (14 papers), RNA Research and Splicing (13 papers) and Microtubule and mitosis dynamics (9 papers). Ya‐Hui Chi is often cited by papers focused on Nuclear Structure and Function (14 papers), RNA Research and Splicing (13 papers) and Microtubule and mitosis dynamics (9 papers). Ya‐Hui Chi collaborates with scholars based in Taiwan, United States and Japan. Ya‐Hui Chi's co-authors include Kuan‐Teh Jeang, Christine Neuveut, Lawrence Kleiman, Venkat S. R. K. Yedavalli, Kerstin Haller, Jean‐Marie Péloponèse, David D. Kitts, Po‐Huang Liang, Chih‐Jung Kuo and John Hsu and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Ya‐Hui Chi

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ya‐Hui Chi Taiwan	22	1.5k	407	229	175	165	63	2.1k
Lynn VerPlank United States	14	864 0.6×	411 1.0×	162 0.7×	84 0.5×	148 0.9×	18	1.5k
Santanu Datta India	20	1.2k 0.8×	597 1.5×	105 0.5×	123 0.7×	335 2.0×	53	2.3k
Emanuele Alpi United Kingdom	11	1.6k 1.0×	144 0.4×	153 0.7×	163 0.9×	221 1.3×	14	2.3k
Young Jun Im South Korea	24	1.9k 1.2×	1.0k 2.5×	170 0.7×	137 0.8×	132 0.8×	68	2.6k
Silke Wissing Germany	16	2.6k 1.7×	419 1.0×	178 0.8×	154 0.9×	198 1.2×	24	3.2k
Venkatesha Basrur United States	20	1.1k 0.7×	419 1.0×	227 1.0×	321 1.8×	182 1.1×	28	1.8k
Anette Hübner United States	12	753 0.5×	161 0.4×	262 1.1×	167 1.0×	174 1.1×	14	1.4k
Antonio Rausell France	18	1.2k 0.8×	171 0.4×	159 0.7×	115 0.7×	671 4.1×	32	2.1k
A. John United States	17	1.1k 0.8×	282 0.7×	385 1.7×	129 0.7×	112 0.7×	25	2.0k
Mark Andrake United States	21	1.5k 1.0×	132 0.3×	455 2.0×	244 1.4×	482 2.9×	55	2.1k

Countries citing papers authored by Ya‐Hui Chi

Since Specialization

Citations

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

Fields of papers citing papers by Ya‐Hui Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Hui Chi. 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 Ya‐Hui Chi. The network helps show where Ya‐Hui Chi may publish in the future.

Co-authorship network of co-authors of Ya‐Hui Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Hui Chi. A scholar is included among the top collaborators of Ya‐Hui Chi 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 Ya‐Hui Chi. Ya‐Hui Chi 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

Chang, Chun‐Ping, Teng‐Kuang Yeh, Chiung‐Tong Chen, et al.. (2024). Discovery of a Long Half-Life AURKA Inhibitor to Treat MYC-Amplified Solid Tumors as a Monotherapy and in Combination with Everolimus. Molecular Cancer Therapeutics. 23(6). 766–779. 4 indexed citations

Wang, Jingya, Wan-Ping Wang, Wei‐Cheng Huang, et al.. (2023). Analysis of structure–activity relationship of indol-3-yl-N-phenylcarbamic amides as potent STING inhibitors. Bioorganic & Medicinal Chemistry. 95. 117502–117502. 6 indexed citations

Lo, Chen‐Fu, Jingya Wang, Ya‐Hui Chi, et al.. (2023). Marine diterpenoid targets STING palmitoylation in mammalian cells. Communications Chemistry. 6(1). 153–153. 13 indexed citations

Hieda, Miki, Sadamu Kurono, Yuka Kaneko, et al.. (2021). The SUN2-nesprin-2 LINC complex and KIF20A function in the Golgi dispersal. Scientific Reports. 11(1). 5358–5358. 16 indexed citations

Wang, Wan-Ping, et al.. (2019). Sun1 Mediates Interkinetic Nuclear Migration and Notch Signaling in the Neurogenesis of Zebrafish. Stem Cells and Development. 28(16). 1116–1127. 5 indexed citations

Ke, Yi‐Yu, Chun‐Ping Chang, Wen‐Hsing Lin, et al.. (2018). Design and synthesis of BPR1K653 derivatives targeting the back pocket of Aurora kinases for selective isoform inhibition. European Journal of Medicinal Chemistry. 151. 533–545. 10 indexed citations

Huang, Daniel Tsung‐Ning, Chun‐Yi Lu, Ya‐Hui Chi, et al.. (2017). Adaptation of influenza A (H7N9) virus in primary human airway epithelial cells. Scientific Reports. 7(1). 11300–11300. 15 indexed citations

Lin, Hung‐Yu, Don-Ching Lee, Horng‐Dar Wang, Ya‐Hui Chi, & Ing‐Ming Chiu. (2015). Activation of FGF1B Promoter and FGF1 Are Involved in Cardiogenesis Through the Signaling of PKC, but Not MAPK. Stem Cells and Development. 24(24). 2853–2863. 12 indexed citations

Sheng, Wang‐Huei, Pei‐Lan Shao, Ya‐Hui Chi, et al.. (2014). Large Isoform of Mammalian Relative of DnaJ is a Major Determinant of Human Susceptibility to HIV-1 Infection. EBioMedicine. 1(2-3). 126–132. 12 indexed citations

10.

Chi, Ya‐Hui & Kuan‐Teh Jeang. (2007). Aneuploidy and cancer. Journal of Cellular Biochemistry. 102(3). 531–538. 51 indexed citations

11.

Haller, Kerstin, et al.. (2005). The N-terminus of rodent and human MAD1 confers species-specific stringency to spindle assembly checkpoint. Oncogene. 25(15). 2137–2147. 21 indexed citations

12.

Yedavalli, Venkat S. R. K., Christine Neuveut, Ya‐Hui Chi, Lawrence Kleiman, & Kuan‐Teh Jeang. (2004). Requirement of DDX3 DEAD Box RNA Helicase for HIV-1 Rev-RRE Export Function. Cell. 119(3). 381–392. 457 indexed citations

13.

Kumar, Thallapuranam Krishnaswamy Suresh, et al.. (2004). Molecular cloning, overexpression, and characterization of the ligand-binding D2 domain of fibroblast growth factor receptor. Biochemical and Biophysical Research Communications. 317(1). 253–258. 8 indexed citations

14.

Kumar, Thallapuranam Krishnaswamy Suresh, Karuppanan Muthusamy Kathir, Ya‐Hui Chi, et al.. (2003). Structurally Homologous All β-Barrel Proteins Adopt Different Mechanisms of Folding. Biophysical Journal. 85(1). 459–472. 13 indexed citations

15.

Ignatius, Arun Alphonse, Thallapuranam Krishnaswamy Suresh Kumar, Karuppanan Muthusamy Kathir, et al.. (2002). Oligomerization of acidic fibroblast growth factor is not a prerequisite for its cell proliferation activity. Protein Science. 11(5). 1050–1061. 25 indexed citations

16.

Chi, Ya‐Hui, Thallapuranam Krishnaswamy Suresh Kumar, Ing‐Ming Chiu, & Chin Yu. (2002). Identification of Rare Partially Unfolded States in Equilibrium with the Native Conformation in an All β-Barrel Protein. Journal of Biological Chemistry. 277(38). 34941–34948. 14 indexed citations

17.

Chi, Ya‐Hui, et al.. (2001). Seafood and environmental toxins. Marcel Dekker eBooks. 9 indexed citations

18.

Chi, Ya‐Hui. (2001). Viruses, parasites, pathogens, and HACCP. Marcel Dekker eBooks. 4 indexed citations

19.

Chi, Ya‐Hui, Thallapuranam Krishnaswamy Suresh Kumar, Ing‐Ming Chiu, & Chin Yu. (2000). 15N NMR Relaxation Studies of Free and Ligand-bound Human Acidic Fibroblast Growth Factor. Journal of Biological Chemistry. 275(50). 39444–39450. 22 indexed citations

20.

Chi, Ya‐Hui. (1994). Diseases caused by viruses, parasites, and fungi. M. Dekker eBooks. 7 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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