Rongsheng Jin

4.6k total citations
61 papers, 3.1k citations indexed

About

Rongsheng Jin is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Rongsheng Jin has authored 61 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 33 papers in Neurology and 16 papers in Molecular Biology. Recurrent topics in Rongsheng Jin's work include Botulinum Toxin and Related Neurological Disorders (33 papers), Hereditary Neurological Disorders (26 papers) and Neurological disorders and treatments (18 papers). Rongsheng Jin is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (33 papers), Hereditary Neurological Disorders (26 papers) and Neurological disorders and treatments (18 papers). Rongsheng Jin collaborates with scholars based in United States, Germany and China. Rongsheng Jin's co-authors include Eric Gouaux, Mark L. Mayer, Andreas Rummel, Shenyan Gu, Kay Perry, Axel T. Brünger, Kwok Ho Lam, Tue G. Banke, Stephen F. Traynelis and Thomas Binz and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Rongsheng Jin

59 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rongsheng Jin United States 30 1.8k 1.4k 1.1k 332 305 61 3.1k
Bianca M. Conti‐Tronconi United States 35 851 0.5× 2.0k 1.4× 965 0.8× 208 0.6× 131 0.4× 85 3.3k
Raja Sekhar Nirujogi United States 26 386 0.2× 1.2k 0.8× 522 0.5× 86 0.3× 451 1.5× 59 2.4k
Helmut Jacobsen Switzerland 33 851 0.5× 1.5k 1.1× 911 0.8× 699 2.1× 244 0.8× 68 5.2k
Janetta G. Culvenor Australia 41 811 0.5× 1.5k 1.1× 1.5k 1.3× 106 0.3× 340 1.1× 83 5.0k
Cara‐Lynne Schengrund United States 28 368 0.2× 1.7k 1.2× 530 0.5× 88 0.3× 357 1.2× 85 2.5k
Mark O. Collins United Kingdom 28 898 0.5× 2.3k 1.6× 181 0.2× 77 0.2× 793 2.6× 55 3.7k
Toshio Ariga United States 26 475 0.3× 1.9k 1.3× 529 0.5× 48 0.1× 424 1.4× 88 2.8k
Marçal Vilar Spain 24 783 0.4× 1.2k 0.8× 1.2k 1.1× 29 0.1× 253 0.8× 46 3.0k
Anil G. Cashikar United States 20 551 0.3× 2.5k 1.8× 886 0.8× 53 0.2× 852 2.8× 32 3.8k
Marc Fivaz Singapore 25 532 0.3× 1.5k 1.1× 184 0.2× 160 0.5× 603 2.0× 46 2.7k

Countries citing papers authored by Rongsheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Rongsheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rongsheng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Rongsheng Jin. A scholar is included among the top collaborators of Rongsheng 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 Rongsheng Jin. Rongsheng 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.
Lam, Kwok Ho, Linfeng Gao, Ting Huang, et al.. (2025). A nut-and-bolt assembly of the bimodular large progenitor botulinum neurotoxin complex. Science Advances. 11(35). eadx5831–eadx5831.
2.
Gao, Linfeng, François P. Douillard, Kwok Ho Lam, et al.. (2025). Botulinum neurotoxins exploit host digestive proteases to boost their oral toxicity via activating OrfXs/P47. Nature Structural & Molecular Biology. 32(5). 864–875. 6 indexed citations
3.
Gao, Linfeng, Kwok Ho Lam, Shun Liu, et al.. (2023). Crystal structures of OrfX1, OrfX2 and the OrfX1–OrfX3 complex from the orfX gene cluster of botulinum neurotoxin E1. FEBS Letters. 597(4). 524–537. 5 indexed citations
4.
Gao, Linfeng & Rongsheng Jin. (2023). NTNH protein: more than a bodyguard for botulinum neurotoxins. FEBS Journal. 291(4). 672–675.
5.
Liu, Zheng, Pyung‐Gang Lee, Kwok Ho Lam, et al.. (2023). Structural basis for botulinum neurotoxin E recognition of synaptic vesicle protein 2. Nature Communications. 14(1). 2338–2338. 13 indexed citations
6.
Manion, John, Melissa A. Musser, Min Liu, et al.. (2023). C. difficile intoxicates neurons and pericytes to drive neurogenic inflammation. Nature. 622(7983). 611–618. 35 indexed citations
7.
Tian, Songhai, Xiaozhe Xiong, Ji Zeng, et al.. (2022). Identification of TFPI as a receptor reveals recombination-driven receptor switching in Clostridioides difficile toxin B variants. Nature Communications. 13(1). 6786–6786. 21 indexed citations
8.
Chen, Peng, Ji Zeng, Zheng Liu, et al.. (2021). Structural basis for CSPG4 as a receptor for TcdB and a therapeutic target in Clostridioides difficile infection. Nature Communications. 12(1). 3748–3748. 51 indexed citations
9.
Abuin, Liliane, Lucia L. Prieto-Godino, Haiyun Pan, et al.. (2019). In vivo assembly and trafficking of olfactory Ionotropic Receptors. BMC Biology. 17(1). 34–34. 34 indexed citations
10.
Chen, Peng, Liang Tao, Tianyu Wang, et al.. (2018). Structural basis for recognition of frizzled proteins by Clostridium difficile toxin B. Science. 360(6389). 664–669. 102 indexed citations
11.
Lam, Kwok Ho, Stefan Sikorra, Jasmin Weisemann, et al.. (2018). Structural and biochemical characterization of the protease domain of the mosaic botulinum neurotoxin type HA. Pathogens and Disease. 76(4). 9 indexed citations
12.
Matsui, Tsutomu, Shenyan Gu, Kwok Ho Lam, et al.. (2014). Structural Basis of the pH-Dependent Assembly of a Botulinum Neurotoxin Complex. Journal of Molecular Biology. 426(22). 3773–3782. 27 indexed citations
13.
Lee, Kwangkook, Xiaofen Zhong, Shenyan Gu, et al.. (2014). Molecular basis for disruption of E-cadherin adhesion by botulinum neurotoxin A complex. Science. 344(6190). 1405–1410. 96 indexed citations
14.
Gu, Shenyan & Rongsheng Jin. (2012). Assembly and Function of the Botulinum Neurotoxin Progenitor Complex. Current topics in microbiology and immunology. 364. 21–44. 66 indexed citations
15.
Yao, Guorui, Yinong Zong, Shenyan Gu, et al.. (2011). Crystal structure of the glutamate receptor GluA1 N-terminal domain. Biochemical Journal. 438(2). 255–263. 18 indexed citations
16.
Weisemann, Jasmin, Shenyan Gu, Stefan Mahrhold, et al.. (2011). The biological activity of botulinum neurotoxin type C is dependent upon novel types of ganglioside binding sites. Molecular Microbiology. 81(1). 143–156. 54 indexed citations
17.
Kumar, Janesh, Peter Schuck, Rongsheng Jin, & Mark L. Mayer. (2009). The N-terminal domain of GluR6-subtype glutamate receptor ion channels. Nature Structural & Molecular Biology. 16(6). 631–638. 86 indexed citations
18.
Jin, Rongsheng, Andreas Rummel, Thomas Binz, & Axel T. Brünger. (2006). Botulinum neurotoxin B recognizes its protein receptor with high affinity and specificity. Nature. 444(7122). 1092–1095. 180 indexed citations
19.
Jin, Rongsheng, Suzanne Clark, Autumn M. Weeks, et al.. (2005). Mechanism of Positive Allosteric Modulators Acting on AMPA Receptors. Journal of Neuroscience. 25(39). 9027–9036. 195 indexed citations
20.

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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