Jianzhong Jin

3.4k total citations
41 papers, 2.2k citations indexed

About

Jianzhong Jin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jianzhong Jin has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Jianzhong Jin's work include Visual perception and processing mechanisms (30 papers), Neural dynamics and brain function (24 papers) and Neurobiology and Insect Physiology Research (10 papers). Jianzhong Jin is often cited by papers focused on Visual perception and processing mechanisms (30 papers), Neural dynamics and brain function (24 papers) and Neurobiology and Insect Physiology Research (10 papers). Jianzhong Jin collaborates with scholars based in United States, China and Germany. Jianzhong Jin's co-authors include José‐Manuel Alonso, Chong Weng, Garrett B. Stanley, Chun-I Yeh, Nicholas A. Lesica, Daniel A. Butts, José M. Alonso, Harvey A. Swadlow, Yushi Wang and Jens Kremkow and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jianzhong Jin

39 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianzhong Jin United States 22 1.4k 719 505 444 176 41 2.2k
Andrew Stockman United Kingdom 29 1.9k 1.4× 934 1.3× 2.7k 5.4× 628 1.4× 119 0.7× 94 4.9k
Jitendra Sharma United States 25 1.4k 1.0× 737 1.0× 609 1.2× 300 0.7× 68 0.4× 43 3.2k
Jay M. Enoch United States 32 1.5k 1.1× 406 0.6× 901 1.8× 36 0.1× 95 0.5× 213 3.3k
Carl Baker United States 29 993 0.7× 436 0.6× 2.8k 5.6× 3.2k 7.2× 10 0.1× 34 5.0k
Dajun Xing United States 25 1.6k 1.1× 895 1.2× 595 1.2× 104 0.2× 144 0.8× 59 2.5k
Bevil R. Conway United States 28 2.2k 1.5× 559 0.8× 405 0.8× 27 0.1× 52 0.3× 64 3.0k
Frederico A. C. Azevedo Brazil 6 547 0.4× 461 0.6× 505 1.0× 114 0.3× 91 0.5× 8 1.7k
Wei-Chung Allen Lee United States 21 1.1k 0.8× 1.6k 2.2× 753 1.5× 242 0.5× 193 1.1× 48 3.3k
Kenway Louie United States 18 1.7k 1.2× 585 0.8× 741 1.5× 110 0.2× 34 0.2× 37 3.1k
Gershon Buchsbaum United States 21 991 0.7× 382 0.5× 425 0.8× 14 0.0× 73 0.4× 47 2.8k

Countries citing papers authored by Jianzhong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jianzhong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianzhong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jianzhong Jin. A scholar is included among the top collaborators of Jianzhong 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 Jianzhong Jin. Jianzhong 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.
Mazade, Reece, et al.. (2025). Optical defocus affects differently ON and OFF visual pathways. iScience. 28(6). 112500–112500.
2.
Jin, Jianzhong, et al.. (2025). Visual Distortions in Human Amblyopia Are Correlated with Deficits in Contrast Sensitivity. Journal of Neuroscience. 45(45). e1111252025–e1111252025.
3.
Jin, Jianzhong, et al.. (2024). Binocular receptive-field construction in the primary visual cortex. Current Biology. 34(11). 2474–2486.e5. 2 indexed citations
4.
Jin, Jianzhong, et al.. (2023). Differences in visual stimulation between reading and walking and implications for myopia development. Journal of Vision. 23(4). 3–3. 5 indexed citations
5.
Jia, Tan, et al.. (2022). Luminance Contrast Shifts Dominance Balance between ON and OFF Pathways in Human Vision. Journal of Neuroscience. 43(6). 993–1007. 11 indexed citations
6.
Jin, Jianzhong, et al.. (2022). A theory of cortical map formation in the visual brain. Nature Communications. 13(1). 2303–2303. 18 indexed citations
7.
Jin, Jianzhong, et al.. (2021). Image luminance changes contrast sensitivity in visual cortex. Cell Reports. 34(5). 108692–108692. 28 indexed citations
8.
Jin, Jianzhong, et al.. (2019). Diversity of Ocular Dominance Patterns in Visual Cortex Originates from Variations in Local Cortical Retinotopy. Journal of Neuroscience. 39(46). 9145–9163. 11 indexed citations
9.
Mazade, Reece, et al.. (2019). Functional Specialization of ON and OFF Cortical Pathways for Global-Slow and Local-Fast Vision. Cell Reports. 27(10). 2881–2894.e5. 29 indexed citations
10.
Kremkow, Jens, Jianzhong Jin, S. J. Komban, et al.. (2014). Neuronal nonlinearity explains greater visual spatial resolution for darks than lights. Proceedings of the National Academy of Sciences. 111(8). 3170–3175. 108 indexed citations
11.
Komban, S. J., Jens Kremkow, Jianzhong Jin, et al.. (2014). Neuronal and Perceptual Differences in the Temporal Processing of Darks and Lights. Neuron. 82(1). 224–234. 75 indexed citations
12.
Kremkow, Jens, Jianzhong Jin, Yushi Wang, et al.. (2014). The Role of Thalamic Population Synchrony in the Emergence of Cortical Feature Selectivity. PLoS Computational Biology. 10(1). e1003418–e1003418. 11 indexed citations
13.
Jin, Jianzhong, Yushi Wang, Reza Lashgari, Harvey A. Swadlow, & José‐Manuel Alonso. (2011). Faster Thalamocortical Processing for Dark than Light Visual Targets. Journal of Neuroscience. 31(48). 17471–17479. 72 indexed citations
14.
Desbordes, Gaëlle, Jianzhong Jin, Chong Weng, et al.. (2008). Timing Precision in Population Coding of Natural Scenes in the Early Visual System. PLoS Biology. 6(12). e324–e324. 53 indexed citations
15.
Jin, Jianzhong, Chong Weng, Chun-I Yeh, et al.. (2007). On and off domains of geniculate afferents in cat primary visual cortex. Nature Neuroscience. 11(1). 88–94. 133 indexed citations
16.
Xie, Xuanhua, Hui Li, Xianyun Mao, et al.. (2004). [Genetic structure of Tujia as revealed by Y chromosomes].. PubMed. 31(10). 1023–9. 4 indexed citations
17.
Wen, Bo, Xuanhua Xie, Song Gao, et al.. (2004). Analyses of Genetic Structure of Tibeto-Burman Populations Reveals Sex-Biased Admixture in Southern Tibeto-Burmans. The American Journal of Human Genetics. 74(5). 856–865. 141 indexed citations
18.
Wen, Bo, Hui Li, Daru Lu, et al.. (2004). Genetic evidence supports demic diffusion of Han culture. Nature. 431(7006). 302–305. 320 indexed citations
19.
Li, Hui, Bo Wen, Ningning Yang, et al.. (2003). [Origin of Hakka and Hakkanese: a genetics analysis].. PubMed. 30(9). 873–80. 19 indexed citations
20.
Su, Bing, Hongyu Li, Haiyong Chen, et al.. (2001). Y-chromosome evidence for no independent origin of modern human in China. Chinese Science Bulletin. 46(11). 935–937. 8 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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