Lin Guo

5.7k total citations · 4 hit papers
71 papers, 3.5k citations indexed

About

Lin Guo is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Lin Guo has authored 71 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 13 papers in Neurology and 8 papers in Genetics. Recurrent topics in Lin Guo's work include RNA Research and Splicing (20 papers), Amyotrophic Lateral Sclerosis Research (13 papers) and Lipid Membrane Structure and Behavior (11 papers). Lin Guo is often cited by papers focused on RNA Research and Splicing (20 papers), Amyotrophic Lateral Sclerosis Research (13 papers) and Lipid Membrane Structure and Behavior (11 papers). Lin Guo collaborates with scholars based in United States, China and Singapore. Lin Guo's co-authors include James Shorter, Anthony G. Lau, Terence J. Morris, Qi Li, Elise F. Stanley, Feng Gai, Edward Gomes, Thorsten Wohland, Nancy M. Bonini and Leeanne McGurk and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lin Guo

67 papers receiving 3.5k citations

Hit Papers

A Syntaxin 1, Gαo, and N-Type Calcium Channel Complex at ... 2004 2026 2011 2018 2004 2019 2019 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Guo United States 24 2.5k 852 435 393 380 71 3.5k
Jamshid Temirov United States 19 3.5k 1.4× 640 0.8× 378 0.9× 399 1.0× 212 0.6× 23 4.5k
Janet R. Kumita United Kingdom 37 3.0k 1.2× 660 0.8× 140 0.3× 445 1.1× 573 1.5× 90 4.8k
Gül H. Zerze United States 21 2.7k 1.1× 446 0.5× 207 0.5× 179 0.5× 90 0.2× 42 3.4k
Avinash Patel Germany 9 2.9k 1.1× 455 0.5× 219 0.5× 465 1.2× 145 0.4× 10 3.3k
Shambaditya Saha Germany 7 3.0k 1.2× 390 0.5× 188 0.4× 429 1.1× 123 0.3× 7 3.4k
Steven Boeynaems United States 19 2.7k 1.1× 890 1.0× 561 1.3× 280 0.7× 268 0.7× 26 3.4k
Frank Shewmaker United States 33 3.3k 1.3× 680 0.8× 317 0.7× 359 0.9× 183 0.5× 60 3.8k
Mitsuru Ishikawa Japan 27 1.3k 0.5× 273 0.3× 180 0.4× 82 0.2× 334 0.9× 100 2.4k
Zhen‐Ge Luo China 30 2.4k 1.0× 189 0.2× 81 0.2× 831 2.1× 967 2.5× 77 4.1k
Eric E. Swayze United States 54 8.4k 3.3× 680 0.8× 725 1.7× 177 0.5× 1.3k 3.4× 187 10.2k

Countries citing papers authored by Lin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Lin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Guo. A scholar is included among the top collaborators of Lin Guo 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 Lin Guo. Lin Guo 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.
Girdhar, Amandeep, M.E. Cicardi, Miyuki Hayashi, et al.. (2025). NLS-binding deficient Kapβ2 reduces neurotoxicity via selective interaction with C9orf72-ALS/FTD dipeptide repeats. Communications Biology. 8(1). 2–2. 2 indexed citations
2.
Robinson, Emma C., et al.. (2024). Reversing aberrant phase transitions of ALS-linked disease protein FUS with RNA. Biophysical Journal. 123(3). 216a–216a. 1 indexed citations
3.
Cicardi, M.E., Karthik Krishnamurthy, Shashirekha S. Markandaiah, et al.. (2024). The nuclear import receptor Kapβ2 modifies neurotoxicity mediated by poly(GR) in C9orf72-linked ALS/FTD. Communications Biology. 7(1). 376–376. 3 indexed citations
4.
Ko, Ying‐Hui, Ravi K. Lokareddy, Steven G. Doll, et al.. (2024). Single Acetylation-mimetic Mutation in TDP-43 Nuclear Localization Signal Disrupts Importin α1/β Signaling. Journal of Molecular Biology. 436(20). 168751–168751. 4 indexed citations
5.
Vazquez‐Sanchez, Sonia, F. Gasset-Rosa, Melissa McAlonis‐Downes, et al.. (2024). Frontotemporal dementia-like disease progression elicited by seeded aggregation and spread of FUS. Molecular Neurodegeneration. 19(1). 46–46. 3 indexed citations
6.
Wiese, Sebastian, Amandeep Girdhar, Nadine Schwierz, et al.. (2023). Cryo-EM Structure of the Full-length hnRNPA1 Amyloid Fibril. Journal of Molecular Biology. 435(18). 168211–168211. 6 indexed citations
7.
Jiang, Jiahong, et al.. (2023). Integrated Analysis of MRNA and MiRNA Expression Profiles in dys-1 Mutants of C. Elegans After Spaceflight and Simulated Microgravity. Microgravity Science and Technology. 35(3). 3 indexed citations
8.
Guo, Lin, et al.. (2022). Liquid-Liquid Phase Separation of TDP-43 and FUS in Physiology and Pathology of Neurodegenerative Diseases. Frontiers in Molecular Biosciences. 9. 826719–826719. 91 indexed citations
9.
Guo, Lin, et al.. (2021). Interactions between poloxamer, PEOx-PPOy-PEOx, and non-ionic surfactant, sucrose monolaurate: A study on potential allergenic effect using model phospholipid membrane. Colloids and Surfaces B Biointerfaces. 209(Pt 1). 112153–112153. 5 indexed citations
10.
Guo, Lin, et al.. (2021). N-alpha-acetylation of Huntingtin protein increases its propensity to aggregate. Journal of Biological Chemistry. 297(6). 101363–101363. 20 indexed citations
11.
Wang, Chen, Yongjia Duan, Gang Duan, et al.. (2020). Stress Induces Dynamic, Cytotoxicity-Antagonizing TDP-43 Nuclear Bodies via Paraspeckle LncRNA NEAT1-Mediated Liquid-Liquid Phase Separation. Molecular Cell. 79(3). 443–458.e7. 152 indexed citations
13.
Cao, Lin, Fucheng Li, Lin Guo, et al.. (2019). <p>Long Intergenic Non-Coding RNA 01121 Promotes Breast Cancer Cell Proliferation, Migration, and Invasion via the <em>miR-150-5p</em>/HMGA2 Axis</p>. Cancer Management and Research. Volume 11. 10859–10870. 21 indexed citations
14.
Guo, Lin & James Shorter. (2016). Biology and Pathobiology of TDP-43 and Emergent Therapeutic Strategies. Cold Spring Harbor Perspectives in Medicine. 7(9). a024554–a024554. 53 indexed citations
15.
Guo, Lin & James Shorter. (2015). It’s Raining Liquids: RNA Tunes Viscoelasticity and Dynamics of Membraneless Organelles. Molecular Cell. 60(2). 189–192. 108 indexed citations
16.
Li, Zhao, Lin Guo, Бо Лю, et al.. (2013). A Pyrene Derivative for Hg2+‐Selective Fluorescent Sensing and Its Application in In Vivo Imaging. Chemistry - An Asian Journal. 9(3). 744–748. 23 indexed citations
18.
Sankaran, Jagadish, Manoj Manna, Lin Guo, Rachel Kraut, & Thorsten Wohland. (2009). Diffusion, Transport, and Cell Membrane Organization Investigated by Imaging Fluorescence Cross-Correlation Spectroscopy. Biophysical Journal. 97(9). 2630–2639. 72 indexed citations
19.
Yu, Lanlan, Lin Guo, Jeak Ling Ding, et al.. (2008). Interaction of an artificial antimicrobial peptide with lipid membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(2). 333–344. 56 indexed citations
20.
Zhang, Qingjiong, et al.. (2002). Mutations of the Zinc Finger Protein 161 Gene in Chinese With or Without High Myopia. Investigative Ophthalmology & Visual Science. 43(13). 823–823. 1 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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