Jian Ding

2.2k total citations
53 papers, 1.7k citations indexed

About

Jian Ding is a scholar working on Cognitive Neuroscience, Epidemiology and Molecular Biology. According to data from OpenAlex, Jian Ding has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 16 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Jian Ding's work include Visual perception and processing mechanisms (28 papers), Ophthalmology and Visual Impairment Studies (15 papers) and Neural dynamics and brain function (12 papers). Jian Ding is often cited by papers focused on Visual perception and processing mechanisms (28 papers), Ophthalmology and Visual Impairment Studies (15 papers) and Neural dynamics and brain function (12 papers). Jian Ding collaborates with scholars based in United States, China and Israel. Jian Ding's co-authors include George Sperling, Dennis M. Levi, Ramesh Srinivasan, Paul L. Nunez, W. Winter, Stanley A. Klein, Indu Vedamurthy, Samuel J. Huang, Daphné Bavelier and David C. Knill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.

In The Last Decade

Jian Ding

52 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Ding United States 16 1.4k 492 272 257 153 53 1.7k
Saumil S. Patel United States 20 1.2k 0.8× 266 0.5× 181 0.7× 663 2.6× 274 1.8× 71 1.8k
Benjamin T. Backus United States 19 1.8k 1.3× 326 0.7× 252 0.9× 116 0.5× 139 0.9× 77 2.0k
Janine D. Mendola United States 19 2.5k 1.7× 344 0.7× 239 0.9× 189 0.7× 341 2.2× 48 2.9k
Mark W. Pettet United States 20 1.7k 1.2× 221 0.4× 92 0.3× 366 1.4× 156 1.0× 39 1.8k
Simo Vanni Finland 27 2.1k 1.4× 127 0.3× 79 0.3× 197 0.8× 135 0.9× 64 2.4k
Herbert C. Goltz Canada 24 2.1k 1.5× 439 0.9× 244 0.9× 133 0.5× 145 0.9× 70 2.5k
Takanori Uka Japan 20 1.6k 1.1× 150 0.3× 72 0.3× 386 1.5× 145 0.9× 54 1.7k
Russell D. Hamer United States 22 895 0.6× 301 0.6× 240 0.9× 257 1.0× 355 2.3× 49 1.4k
Robert F. Hess Canada 28 2.1k 1.5× 1.2k 2.5× 813 3.0× 480 1.9× 634 4.1× 118 2.7k
Kazuhiko Ukai Japan 21 788 0.5× 216 0.4× 183 0.7× 53 0.2× 51 0.3× 56 1.4k

Countries citing papers authored by Jian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Ding. A scholar is included among the top collaborators of Jian Ding 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 Jian Ding. Jian Ding 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.
Zhang, Weigang, Jian Ding, Lei Wang, et al.. (2025). Tomatidine Ameliorates Diabetes‐Induced Cognitive Impairment and Tau Hyperphosphorylation Through the AMPKTFEB Pathway. Journal of Neurochemistry. 169(5). e70087–e70087. 2 indexed citations
2.
Ding, Jian, et al.. (2024). Absolute and relative disparity mechanisms revealed by an equivalent noise analysis. Scientific Reports. 14(1). 6863–6863.
3.
Ding, Jian, et al.. (2022). Modulation of top-down influence affects trafficking of glutamatergic receptors in the primary visual cortex. Biochemical and Biophysical Research Communications. 632. 17–23. 1 indexed citations
4.
Ding, Jian, Zheng Ye, Fei Xu, et al.. (2021). Effects of top-down influence suppression on behavioral and V1 neuronal contrast sensitivity functions in cats. iScience. 25(1). 103683–103683. 10 indexed citations
5.
Lev, Maria, Jian Ding, Uri Polat, & Dennis M. Levi. (2021). Nearby contours abolish the binocular advantage. Scientific Reports. 11(1). 16920–16920. 4 indexed citations
6.
Ding, Jian, Fei Xu, Zheng Ye, et al.. (2021). Suppression of top-down influence decreases neuronal excitability and contrast sensitivity in the V1 cortex of cat. Scientific Reports. 11(1). 16034–16034. 7 indexed citations
7.
Zhang, Shen, Pan Deng, Zheng Ye, et al.. (2021). Characterization of Feedback Neurons in the High-Level Visual Cortical Areas That Project Directly to the Primary Visual Cortex in the Cat. Frontiers in Neuroanatomy. 14. 616465–616465. 9 indexed citations
9.
Martín, Santiago, et al.. (2020). Evaluation of a Virtual Reality implementation of a binocular imbalance test. PLoS ONE. 15(8). e0238047–e0238047. 16 indexed citations
10.
Ding, Jian & Dennis M. Levi. (2020). A unified model for binocular fusion and depth perception. Vision Research. 180. 11–36. 14 indexed citations
11.
Li, Ran, et al.. (2015). V1 neurons respond to luminance changes faster than contrast changes. Scientific Reports. 5(1). 17173–17173. 8 indexed citations
12.
Ding, Jian & Dennis M. Levi. (2015). Interocular contrast gain control plus monocular luminance gain control can explain binocular luminance summation. Journal of Vision. 15(12). 263–263. 2 indexed citations
13.
Ding, Jian & Dennis M. Levi. (2014). Rebalancing binocular vision in amblyopia. Ophthalmic and Physiological Optics. 34(2). 199–213. 47 indexed citations
14.
Inzitari, Marco, Alice M. Arnold, Kushang V. Patel, et al.. (2011). Subclinical Vascular Disease Burden and Risk for Death and Cardiovascular Events in Older Community Dwellers. The Journals of Gerontology Series A. 66A(9). 986–993. 14 indexed citations
15.
Ding, Jian & Dennis M. Levi. (2011). Recovery of stereopsis through perceptual learning in human adults with abnormal binocular vision. Proceedings of the National Academy of Sciences. 108(37). E733–41. 111 indexed citations
16.
Brinkley, Tina E., F.-C. Hsu, J. Jeffrey Carr, et al.. (2010). Pericardial fat is associated with carotid stiffness in the Multi-Ethnic Study of Atherosclerosis. Nutrition Metabolism and Cardiovascular Diseases. 21(5). 332–338. 35 indexed citations
17.
Ding, Jian, Ramesh Srinivasan, & George Sperling. (2010). Flicker elicits eeg responses in two distinct cortical networks depending on attention and flicker frequency. Journal of Vision. 6(6). 515–515. 1 indexed citations
18.
Winter, W., Paul L. Nunez, Jian Ding, & Ramesh Srinivasan. (2007). Comparison of the effect of volume conduction on EEG coherence with the effect of field spread on MEG coherence. Statistics in Medicine. 26(21). 3946–3957. 97 indexed citations
19.
Srinivasan, Ramesh, W. Winter, Jian Ding, & Paul L. Nunez. (2007). EEG and MEG coherence: Measures of functional connectivity at distinct spatial scales of neocortical dynamics. Journal of Neuroscience Methods. 166(1). 41–52. 386 indexed citations
20.
Ding, Jian, George Sperling, & Ramesh Srinivasan. (2005). Attentional Modulation of SSVEP Power Depends on the Network Tagged by the Flicker Frequency. Cerebral Cortex. 16(7). 1016–1029. 213 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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