Li Gan

18.5k total citations · 5 hit papers
165 papers, 10.9k citations indexed

About

Li Gan is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Li Gan has authored 165 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 44 papers in Physiology and 38 papers in Neurology. Recurrent topics in Li Gan's work include Alzheimer's disease research and treatments (36 papers), Neuroinflammation and Neurodegeneration Mechanisms (32 papers) and Neuroscience and Neuropharmacology Research (17 papers). Li Gan is often cited by papers focused on Alzheimer's disease research and treatments (36 papers), Neuroinflammation and Neurodegeneration Mechanisms (32 papers) and Neuroscience and Neuropharmacology Research (17 papers). Li Gan collaborates with scholars based in United States, China and Germany. Li Gan's co-authors include Yungui Zhou, Lennart Mucke, Leonard K. Kaczmarek, Jeffrey A. Johnson, Binggui Sun, Tara E. Tracy, Sarah Mueller-Steiner, Lu‐Yang Wang, Jennifer Chen and Michael E. Ward and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Li Gan

159 papers receiving 10.8k citations

Hit Papers

Acetylation of Tau Inhibi... 2005 2026 2012 2019 2010 2005 2022 2024 2024 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Gan 4.5k 3.9k 2.5k 2.2k 1.2k 165 10.9k
Randy Strong 5.9k 1.3× 5.1k 1.3× 856 0.3× 1.8k 0.8× 1.0k 0.8× 130 13.8k
Rajiv R. Ratan 8.7k 1.9× 2.4k 0.6× 1.9k 0.8× 3.2k 1.4× 1.6k 1.3× 164 15.4k
Deborah L. Croteau 8.8k 1.9× 2.7k 0.7× 1.1k 0.4× 881 0.4× 688 0.6× 143 13.2k
Aiwu Cheng 3.5k 0.8× 2.6k 0.7× 1.3k 0.5× 1.3k 0.6× 434 0.3× 54 7.8k
Zheng‐Hong Qin 6.5k 1.4× 1.6k 0.4× 1.9k 0.7× 2.8k 1.3× 1.7k 1.4× 252 12.6k
Mark S. Kindy 5.3k 1.2× 3.5k 0.9× 2.1k 0.8× 2.1k 0.9× 922 0.7× 206 12.2k
Antonino Cattaneo 5.2k 1.1× 2.8k 0.7× 927 0.4× 4.0k 1.8× 472 0.4× 299 11.5k
Mel Β. Feany 5.4k 1.2× 4.8k 1.2× 1.8k 0.7× 4.8k 2.2× 5.2k 4.2× 106 13.4k
Kim Tieu 4.1k 0.9× 2.5k 0.6× 2.6k 1.0× 3.0k 1.4× 3.7k 3.0× 62 10.8k
Hoon Ryu 5.3k 1.2× 1.8k 0.5× 849 0.3× 2.4k 1.1× 1.4k 1.1× 178 9.1k

Countries citing papers authored by Li Gan

Since Specialization
Citations

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

Fields of papers citing papers by Li Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Gan. A scholar is included among the top collaborators of Li Gan 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 Li Gan. Li Gan 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.
Yao, Meng, Jian Zhou, Chuan Gao, et al.. (2025). Trained Immunity in Health and Disease. MedComm. 6(11). e70461–e70461.
2.
Voorhees, Jaymie R., Julie Dimitry, Lauren N. Woodie, et al.. (2025). REV-ERBα regulates brain NAD+ levels and tauopathy via an NFIL3–CD38 axis. Nature Aging. 5(10). 2070–2085.
3.
Barnett, Daniel, Till S. Zimmer, Samantha M. Meadows, et al.. (2025). Mitochondrial complex III-derived ROS amplify immunometabolic changes in astrocytes and promote dementia pathology. Nature Metabolism. 7(11). 2300–2323. 1 indexed citations
4.
Theofilas, Panos, Chao Wang, David Butler, et al.. (2024). iPSC-induced neurons with the V337M MAPT mutation are selectively vulnerable to caspase-mediated cleavage of tau and apoptotic cell death. Molecular and Cellular Neuroscience. 130. 103954–103954.
5.
Kauwe, Grant, Lei Yao, Ivy Tsz-Lo Wong, et al.. (2024). KIBRA repairs synaptic plasticity and promotes resilience to tauopathy-related memory loss. Journal of Clinical Investigation. 134(3). 12 indexed citations
6.
Yang, Bo‐Yi, Xiaojing Guo, Gang Liu, et al.. (2024). Alterations in purine and pyrimidine metabolism associated with latent tuberculosis infection: insights from gut microbiome and metabolomics analyses. mSystems. 9(11). e0081224–e0081224. 4 indexed citations
7.
Kong, Weili, Julie Frouard, Guorui Xie, et al.. (2024). Neuroinflammation generated by HIV-infected microglia promotes dysfunction and death of neurons in human brain organoids. PNAS Nexus. 3(5). pgae179–pgae179. 20 indexed citations
8.
Gan, Li, et al.. (2024). Cellular and pathological functions of tau. Nature Reviews Molecular Cell Biology. 25(11). 845–864. 74 indexed citations breakdown →
9.
Deng, Kai, et al.. (2024). Research landscape of abdominal adhesions from 2004 to 2023: A bibliometric analysis. Heliyon. 10(9). e30343–e30343. 1 indexed citations
10.
Krukowski, Karen, Sarah Barker, Chao Wang, et al.. (2024). Anti-acetylated-tau immunotherapy is neuroprotective in tauopathy and brain injury. Molecular Neurodegeneration. 19(1). 51–51. 11 indexed citations
11.
Anderson, Sonya, Abdulraouf Abdulraouf, Andrew Liao, et al.. (2023). A global view of aging and Alzheimer’s pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains. Nature Genetics. 55(12). 2104–2116. 30 indexed citations
12.
Amin, Sadaf, et al.. (2023). Autophagy prevents microglial senescence. Nature Cell Biology. 25(7). 923–925. 19 indexed citations
13.
Wang, Zijun, Cancan Zhou, Tianli Shen, et al.. (2023). Visual Observation of Abdominal Adhesion Progression Based on an Optimized Mouse Model of Postoperative Abdominal Adhesions. Journal of Investigative Surgery. 36(1). 2225104–2225104. 7 indexed citations
14.
Sinha, Subhash C., et al.. (2023). Mechanism and therapeutic potential of targeting cGAS-STING signaling in neurological disorders. Molecular Neurodegeneration. 18(1). 79–79. 86 indexed citations
15.
Dräger, Nina M., Sydney M. Sattler, Cindy Huang, et al.. (2022). A CRISPRi/a platform in human iPSC-derived microglia uncovers regulators of disease states. Nature Neuroscience. 25(9). 1149–1162. 123 indexed citations
16.
Fan, Li, Rabia R. Khawaja, Lihong Zhan, et al.. (2022). Microglial NF-κB drives tau spreading and toxicity in a mouse model of tauopathy. Nature Communications. 13(1). 1969–1969. 186 indexed citations breakdown →
17.
Zhan, Lihong, Li Fan, Lay Kodama, et al.. (2020). A MAC2-positive progenitor-like microglial population is resistant to CSF1R inhibition in adult mouse brain. eLife. 9. 54 indexed citations
18.
Chen, Xu, Yaqiao Li, Chao Wang, et al.. (2020). Promoting tau secretion and propagation by hyperactive p300/CBP via autophagy-lysosomal pathway in tauopathy. Molecular Neurodegeneration. 15(1). 2–2. 75 indexed citations
19.
Zhan, Lihong, Grietje Krabbe, Fei Du, et al.. (2019). Proximal recolonization by self-renewing microglia re-establishes microglial homeostasis in the adult mouse brain. PLoS Biology. 17(2). e3000134–e3000134. 109 indexed citations
20.
Kodama, Lay, Elmer Guzman, Jon Iker Etchegaray, et al.. (2019). Microglial microRNAs mediate sex-specific responses to tau pathology. Nature Neuroscience. 23(2). 167–171. 79 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026