Binsen Li

1.3k total citations · 1 hit paper
7 papers, 940 citations indexed

About

Binsen Li is a scholar working on Physiology, Pharmacology and Neurology. According to data from OpenAlex, Binsen Li has authored 7 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Pharmacology and 3 papers in Neurology. Recurrent topics in Binsen Li's work include Alzheimer's disease research and treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Binsen Li is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Binsen Li collaborates with scholars based in United States. Binsen Li's co-authors include Lin Jiang, M.R. Sawaya, David Eisenberg, David R. Boyer, Kevin A. Murray, Woo Shik Shin, Z. Hong Zhou, Shulin Ye, P. Ge and Meng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Chemistry.

In The Last Decade

Binsen Li

6 papers receiving 930 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel

2018 470 citations Binsen Li, P. Ge et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binsen Li United States	6	574	481	382	151	107	7	940
Shruti Sahay India	12	597 1.0×	642 1.3×	491 1.3×	191 1.3×	118 1.1×	14	1.2k
Massimo Sandal Italy	10	497 0.9×	506 1.1×	524 1.4×	175 1.2×	97 0.9×	11	1.1k
Wojciech Pasławski Sweden	13	375 0.7×	421 0.9×	294 0.8×	132 0.9×	79 0.7×	30	777
Surabhi Mehra India	14	358 0.6×	529 1.1×	411 1.1×	150 1.0×	126 1.2×	27	1.0k
Ganesh M. Mohite India	12	446 0.8×	537 1.1×	331 0.9×	146 1.0×	84 0.8×	15	933
Nikolai Lorenzen Denmark	11	361 0.6×	342 0.7×	245 0.6×	86 0.6×	49 0.5×	11	676
Michele Perni United Kingdom	17	923 1.6×	416 0.9×	907 2.4×	164 1.1×	89 0.8×	29	1.6k
Diana F. Lázaro Germany	19	474 0.8×	803 1.7×	379 1.0×	336 2.2×	154 1.4×	26	1.2k
Airi Tarutani Japan	12	983 1.7×	827 1.7×	675 1.8×	318 2.1×	350 3.3×	21	1.6k

Countries citing papers authored by Binsen Li

Since Specialization

Citations

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

Fields of papers citing papers by Binsen Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binsen Li

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Shin, Woo Shik, Jing Di, Qin Cao, et al.. (2021). Correction to: Amyloid β-protein oligomers promote the uptake of tau fibril seeds potentiating intracellular tau aggregation. Alzheimer s Research & Therapy. 13(1). 83–83.

2.

Boyer, David R., Binsen Li, Chuanqi Sun, et al.. (2020). The α-synuclein hereditary mutation E46K unlocks a more stable, pathogenic fibril structure. Proceedings of the National Academy of Sciences. 117(7). 3592–3602. 137 indexed citations

3.

Shin, Woo Shik, Jing Di, Qin Cao, et al.. (2019). Amyloid β-protein oligomers promote the uptake of tau fibril seeds potentiating intracellular tau aggregation. Alzheimer s Research & Therapy. 11(1). 86–86. 76 indexed citations

4.

Boyer, David R., Binsen Li, Chuanqi Sun, et al.. (2019). Structures of fibrils formed by α-synuclein hereditary disease mutant H50Q reveal new polymorphs. Nature Structural & Molecular Biology. 26(11). 1044–1052. 136 indexed citations

5.

Díaz‐García, Carlos Manlio, Carolina Lahmann, Juan Ramón Martínez‐François, et al.. (2019). Quantitative in vivo imaging of neuronal glucose concentrations with a genetically encoded fluorescence lifetime sensor. Journal of Neuroscience Research. 97(8). 946–960. 71 indexed citations

6.

Li, Binsen, P. Ge, Kevin A. Murray, et al.. (2018). Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel. Nature Communications. 9(1). 3609–3609. 470 indexed citations breakdown →

7.

Cao, Qin, Woo Shik Shin, Henry Chan, et al.. (2018). Inhibiting amyloid-β cytotoxicity through its interaction with the cell surface receptor LilrB2 by structure-based design. Nature Chemistry. 10(12). 1213–1221. 50 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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