Hui Jin

1.7k total citations
51 papers, 1.3k citations indexed

About

Hui Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Hui Jin has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Hui Jin's work include Receptor Mechanisms and Signaling (10 papers), Advanced Wireless Communication Techniques (9 papers) and Photoreceptor and optogenetics research (8 papers). Hui Jin is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Advanced Wireless Communication Techniques (9 papers) and Photoreceptor and optogenetics research (8 papers). Hui Jin collaborates with scholars based in United States, China and South Korea. Hui Jin's co-authors include Jack L. Lewis, Krzysztof Palczewski, Robert J. McEliece, Ronald K. Blackman, Richard W. Padgett, Vern Twombly, William M Gelbart, Jonathan M. Graff, Tanya Richardson and Beata Jastrzębska and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hui Jin

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Jin United States 18 711 251 153 150 139 51 1.3k
Satoshi Tsukamoto Japan 21 1.1k 1.6× 81 0.3× 157 1.0× 280 1.9× 69 0.5× 77 2.2k
J.‐C. Floyd Sarria Switzerland 7 632 0.9× 987 3.9× 142 0.9× 338 2.3× 18 0.1× 7 2.1k
Seiji Takagi Japan 21 376 0.5× 125 0.5× 67 0.4× 62 0.4× 153 1.1× 99 2.0k
Samantha J. Riesenfeld United States 13 868 1.2× 56 0.2× 108 0.7× 109 0.7× 132 0.9× 23 1.6k
Lyle W. Ostrow United States 18 1.4k 2.0× 468 1.9× 114 0.7× 93 0.6× 9 0.1× 33 2.8k
Tal Mizrahi Israel 21 253 0.4× 207 0.8× 119 0.8× 13 0.1× 518 3.7× 54 1.4k
Yoshiaki Tanaka Japan 24 2.2k 3.1× 324 1.3× 72 0.5× 73 0.5× 34 0.2× 77 3.7k
Cody J. Smith United States 19 337 0.5× 387 1.5× 30 0.2× 233 1.6× 116 0.8× 46 1.4k
Tetsu Saigusa Japan 14 767 1.1× 101 0.4× 78 0.5× 284 1.9× 57 0.4× 15 2.0k

Countries citing papers authored by Hui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Jin

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

All Works

20 of 20 papers shown
1.
Li, Sen, et al.. (2024). Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. Computer Communications. 216. 151–158. 1 indexed citations
2.
Liu, Xin, et al.. (2024). Characterization of the Expressions and m6A Methylation Modification Patterns of mRNAs and lncRNAs in a Spinal Cord Injury Rat Model. Molecular Neurobiology. 62(1). 806–818. 3 indexed citations
4.
Jin, Hui, et al.. (2023). Research on intelligent city traffic management system based on WEBGIS. International Journal of Nanotechnology. 20(1/2/3/4). 410–420.
5.
Sander, Christopher L., Avery E. Sears, Antônio F. M. Pinto, et al.. (2021). Nano-scale resolution of native retinal rod disk membranes reveals differences in lipid composition. The Journal of Cell Biology. 220(8). 26 indexed citations
6.
Salom, David, Hui Jin, Thomas Gerken, et al.. (2019). Human red and green cone opsins are O-glycosylated at an N-terminal Ser/Thr–rich domain conserved in vertebrates. Journal of Biological Chemistry. 294(20). 8123–8133. 8 indexed citations
7.
Gulati, Sahil, Hui Jin, Ikuo Masuho, et al.. (2018). Targeting G protein-coupled receptor signaling at the G protein level with a selective nanobody inhibitor. Nature Communications. 9(1). 1996–1996. 68 indexed citations
8.
Chen, Yuanyuan, Yu Chen, Beata Jastrzębska, et al.. (2018). A novel small molecule chaperone of rod opsin and its potential therapy for retinal degeneration. Nature Communications. 9(1). 1976–1976. 52 indexed citations
9.
Wang, Kai, et al.. (2018). Field measurement and numerical simulation of the influence of blasting excavation on adjacent buried pipelines. International Journal of Critical Infrastructures. 15(1). 70–70. 1 indexed citations
10.
Kolesnikov, Alexander V., Tivadar Orban, Hui Jin, et al.. (2017). Dephosphorylation by protein phosphatase 2A regulates visual pigment regeneration and the dark adaptation of mammalian photoreceptors. Proceedings of the National Academy of Sciences. 114(45). E9675–E9684. 10 indexed citations
11.
Gao, Xiaoshan, et al.. (2016). Calibration method of robot base frame using procrustes analysis. 31. 16–20. 2 indexed citations
12.
Jastrzębska, Beata, Megan J. Kaliszewski, Kevin Skinner, et al.. (2016). A G Protein-Coupled Receptor Dimerization Interface in Human Cone Opsins. Biochemistry. 56(1). 61–72. 21 indexed citations
13.
Jastrzębska, Beata, Yuanyuan Chen, Tivadar Orban, et al.. (2015). Disruption of Rhodopsin Dimerization with Synthetic Peptides Targeting an Interaction Interface. Journal of Biological Chemistry. 290(42). 25728–25744. 69 indexed citations
14.
Chen, Mengchun, Hui Jin, Mengming Xia, et al.. (2014). Effects of Cytochrome P450 2C9 Polymorphism on Bosentan Metabolism. Drug Metabolism and Disposition. 42(11). 1820–1825. 16 indexed citations
15.
Yuan, Yiyuan, Pengxiu Cao, Mark A. Smith, et al.. (2011). Dysregulated LRRK2 Signaling in Response to Endoplasmic Reticulum Stress Leads to Dopaminergic Neuron Degeneration in C. elegans. PLoS ONE. 6(8). e22354–e22354. 68 indexed citations
16.
Jin, Hui & Tanya Richardson. (2005). Block Error Iterative Decoding Capacity for LDPC Codes. 52–56. 26 indexed citations
17.
Drmanac, Snezana, Gloria Chui, Daniel Coleman, et al.. (2003). DNA Sequencing by Hybridization with Arrays of Samples or Probes. Humana Press eBooks. 170. 173–179. 12 indexed citations
18.
Jin, Hui & Tom Richardson. (2003). Design of low-density parity-check codes for noncoherent MPSK communication. 169–169. 12 indexed citations
19.
Nayak, Sudhir, et al.. (2002). The Caenorhabditis elegans Skp1-Related Gene Family. Current Biology. 12(4). 277–287. 106 indexed citations
20.
Xie, Congxin, et al.. (1997). FEEDING INTENSITY AND DYNAMICS OF JUVENILE NORTHERN SNAKEHEAD, CHANNA ARGUS,UNDER DIFFERENT ILLUMINATION. Acta Hydrobiologica Sinica. 21(3). 213–218. 1 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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