Yingbin Fu

2.0k total citations
37 papers, 1.5k citations indexed

About

Yingbin Fu is a scholar working on Molecular Biology, Ophthalmology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yingbin Fu has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Ophthalmology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yingbin Fu's work include Retinal Development and Disorders (18 papers), Retinal Diseases and Treatments (16 papers) and Photoreceptor and optogenetics research (13 papers). Yingbin Fu is often cited by papers focused on Retinal Development and Disorders (18 papers), Retinal Diseases and Treatments (16 papers) and Photoreceptor and optogenetics research (13 papers). Yingbin Fu collaborates with scholars based in United States, Japan and China. Yingbin Fu's co-authors include King‐Wai Yau, Jack Preiss, Miguel A. Ballícora, Vladimir J. Kefalov, Hsi‐Wen Liao, Nicholas Marsh‐Armstrong, Joseph F. Leykam, Peter Schürmann, Sandeep Kumar and Michael Tri H. and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yingbin Fu

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingbin Fu United States 17 836 508 309 247 219 37 1.5k
Susan Gentleman United States 23 1.6k 1.9× 534 1.1× 430 1.4× 40 0.2× 47 0.2× 56 2.0k
Ben Yang China 23 745 0.9× 426 0.8× 74 0.2× 35 0.1× 34 0.2× 60 1.8k
Xuehua Wang China 20 480 0.6× 427 0.8× 21 0.1× 50 0.2× 108 0.5× 73 1.2k
Leandro M. Castro Brazil 24 873 1.0× 322 0.6× 18 0.1× 93 0.4× 26 0.1× 51 1.4k
Yoshiki Kuse Japan 16 468 0.6× 130 0.3× 283 0.9× 95 0.4× 27 0.1× 42 894
Manish Jaiswal United States 22 1.3k 1.6× 467 0.9× 35 0.1× 26 0.1× 75 0.3× 31 2.0k
Wilson McIvor United States 7 246 0.3× 235 0.5× 27 0.1× 189 0.8× 32 0.1× 10 517
Gabriella Chieffi Baccari Italy 26 588 0.7× 367 0.7× 30 0.1× 98 0.4× 30 0.1× 101 1.8k
J Nordmann France 27 930 1.1× 937 1.8× 67 0.2× 367 1.5× 21 0.1× 106 2.1k
I.M. Pepe Italy 18 604 0.7× 386 0.8× 106 0.3× 44 0.2× 12 0.1× 56 885

Countries citing papers authored by Yingbin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yingbin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingbin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingbin Fu. A scholar is included among the top collaborators of Yingbin Fu 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 Yingbin Fu. Yingbin Fu 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.
Jacobs, David R., Yinan Zheng, Chunyu Liu, et al.. (2025). Associations of long-term exposure to temperature with coronary artery calcification risk among middle-aged adults: The Coronary Artery Risk Development in Young Adults (CARDIA) study. The Science of The Total Environment. 966. 178675–178675. 1 indexed citations
2.
3.
Fu, Yingbin, et al.. (2023). Characterization of Vascular Morphology of Neovascular Age-Related Macular Degeneration by Indocyanine Green Angiography. Journal of Visualized Experiments. 3 indexed citations
4.
Xu, Hui, Nange Jin, Jen-Zen Chuang, et al.. (2022). Visual pigment–deficient cones survive and mediate visual signaling despite the lack of outer segments. Proceedings of the National Academy of Sciences. 119(9). 7 indexed citations
5.
Nguyen, Van Phuc, et al.. (2022). Age differential response to bevacizumab therapy in choroidal neovascularization in rabbits. Experimental Eye Research. 223. 109215–109215. 8 indexed citations
6.
Pan, Yang, Yingbin Fu, Paul N. Baird, et al.. (2022). Exploring the contribution of ARMS2 and HTRA1 genetic risk factors in age-related macular degeneration. Progress in Retinal and Eye Research. 97. 101159–101159. 24 indexed citations
7.
Li, Hongyan, Yanran Duan, Yi‐Chu Liao, et al.. (2020). Years of life lost and mortality risk attributable to non-optimum temperature in Shenzhen: a time-series study. Journal of Exposure Science & Environmental Epidemiology. 31(1). 187–196. 8 indexed citations
8.
Kumar, Sandeep, et al.. (2018). Disruption of Rhodopsin Dimerization in Mouse Rod Photoreceptors by Synthetic Peptides Targeting Dimer Interface. Methods in molecular biology. 1753. 115–128. 5 indexed citations
9.
Kumar, Sandeep, et al.. (2014). Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography. Journal of Visualized Experiments. e51061–e51061. 11 indexed citations
10.
Fu, Yingbin & Tao Zhang. (2014). Pathophysilogical Mechanism and Treatment Strategies for Leber Congenital Amaurosis. Advances in experimental medicine and biology. 801. 791–796. 13 indexed citations
11.
Zhang, Tao, Nduka Enemchukwu, Alex Jones, et al.. (2014). Genetic deletion of S-opsin prevents rapid cone degeneration in a mouse model of Leber congenital amaurosis. Human Molecular Genetics. 24(6). 1755–1763. 16 indexed citations
12.
Zhang, Tao, Ning Zhang, Wolfgang Baehr, & Yingbin Fu. (2011). Cone opsin determines the time course of cone photoreceptor degeneration in Leber congenital amaurosis. Proceedings of the National Academy of Sciences. 108(21). 8879–8884. 2 indexed citations
13.
Fu, Yingbin, et al.. (2008). Quantal noise from human red cone pigment. Nature Neuroscience. 11(5). 565–571. 66 indexed citations
14.
Fu, Yingbin & King‐Wai Yau. (2007). Phototransduction in mouse rods and cones. Pflügers Archiv - European Journal of Physiology. 454(5). 805–819. 231 indexed citations
15.
Kefalov, Vladimir J., Yingbin Fu, & King‐Wai Yau. (2005). Higher Rate of Thermal Activation of Red Cone Pigments With 11–Cis A2 Compared to 11–Cis A1 Retinal as Chromophore. Investigative Ophthalmology & Visual Science. 46(13). 2264–2264. 3 indexed citations
16.
Fu, Yingbin, Hsi‐Wen Liao, Michael Tri H., & King‐Wai Yau. (2005). Non-image-forming ocular photoreception in vertebrates. Current Opinion in Neurobiology. 15(4). 415–422. 88 indexed citations
17.
Kefalov, Vladimir J., Yingbin Fu, Nicholas Marsh‐Armstrong, & King‐Wai Yau. (2003). Role of visual pigment properties in rod and cone phototransduction. Nature. 425(6957). 526–531. 107 indexed citations
18.
Fu, Yingbin, et al.. (2002). Study of Cone Pigment Function With a Transgenic Mouse Model. Investigative Ophthalmology & Visual Science. 43(13). 1962–1962. 2 indexed citations
19.
Ballícora, Miguel A., et al.. (2000). Activation of the Potato Tuber ADP-glucose Pyrophosphorylase by Thioredoxin. Journal of Biological Chemistry. 275(2). 1315–1320. 129 indexed citations
20.
Fu, Yingbin, Miguel A. Ballícora, Joseph F. Leykam, & Jack Preiss. (1998). Mechanism of Reductive Activation of Potato Tuber ADP-glucose Pyrophosphorylase. Journal of Biological Chemistry. 273(39). 25045–25052. 108 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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