Lihong Zhan

2.1k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Lihong Zhan is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Lihong Zhan has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Lihong Zhan's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Immune cells in cancer (3 papers). Lihong Zhan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Immune cells in cancer (3 papers). Lihong Zhan collaborates with scholars based in United States, Sweden and Singapore. Lihong Zhan's co-authors include Randal S. Tibbetts, Li Gan, Lay Kodama, Yaqiao Li, Yungui Zhou, David Le, Sang Hwa Kim, Faten A. Sayed, Claire D. Clelland and Qijing Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Lihong Zhan

15 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Microglial NF-κB drives tau spreading and toxicity in a mouse model of tauopathy

2022 186 citations Li Fan, Rabia R. Khawaja et al. Nature Communications profile →

Author Peers

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

Author						Papers	Cites
Lihong Zhan	552	338	295	240	150	15	1.1k
Luc Grandbarbe	500 0.9×	340 1.0×	229 0.8×	197 0.8×	145 1.0×	13	972
Jessica L. Larson	541 1.0×	358 1.1×	284 1.0×	274 1.1×	68 0.5×	14	964
Martina Moeton	402 0.7×	462 1.4×	292 1.0×	260 1.1×	71 0.5×	19	1.2k
Amanda McQuade	460 0.8×	374 1.1×	377 1.3×	227 0.9×	90 0.6×	18	969
Thomas Arzberger	387 0.7×	383 1.1×	206 0.7×	160 0.7×	196 1.3×	20	920
Gourav Roy Choudhury	396 0.7×	435 1.3×	174 0.6×	125 0.5×	115 0.8×	25	1.1k
Maya K. Weigel	421 0.8×	271 0.8×	169 0.6×	122 0.5×	137 0.9×	6	742
Anne H. P. Jansen	405 0.7×	463 1.4×	384 1.3×	138 0.6×	101 0.7×	12	1.0k
Divya Raj	862 1.6×	272 0.8×	377 1.3×	434 1.8×	76 0.5×	14	1.2k
Paul Heuschling	745 1.3×	496 1.5×	341 1.2×	311 1.3×	197 1.3×	30	1.4k

Countries citing papers authored by Lihong Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Lihong Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihong Zhan

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

All Works

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15 of 15 papers shown

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

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 →

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

Telpoukhovskaia, Maria A., Kai Liu, Faten A. Sayed, et al.. (2020). Discovery of small molecules that normalize the transcriptome and enhance cysteine cathepsin activity in progranulin-deficient microglia. Scientific Reports. 10(1). 13688–13688. 17 indexed citations

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

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

Zhu, Lei, Liana R. Stein, Daniel Kim, et al.. (2018). Klotho controls the brain–immune system interface in the choroid plexus. Proceedings of the National Academy of Sciences. 115(48). E11388–E11396. 102 indexed citations

Sayed, Faten A., Maria A. Telpoukhovskaia, Lay Kodama, et al.. (2018). Differential effects of partial and complete loss of TREM2 on microglial injury response and tauopathy. Proceedings of the National Academy of Sciences. 115(40). 10172–10177. 126 indexed citations

Kim, Sang Hwa, Nandini Ramesh, Lihong Zhan, et al.. (2017). Mutation-dependent aggregation and toxicity in a Drosophila model for UBQLN2-associated ALS. Human Molecular Genetics. 27(2). 322–337. 26 indexed citations

10.

Zhan, Lihong, Qijing Xie, & Randal S. Tibbetts. (2014). Opposing roles of p38 and JNK in a Drosophila model of TDP-43 proteinopathy reveal oxidative stress and innate immunity as pathogenic components of neurodegeneration. Human Molecular Genetics. 24(3). 757–772. 51 indexed citations

11.

Zhan, Lihong, et al.. (2013). Identification of Genetic Modifiers of TDP-43 Neurotoxicity in Drosophila. PLoS ONE. 8(2). e57214–e57214. 28 indexed citations

12.

Kim, Sang Hwa, Lihong Zhan, Keith A. Hanson, & Randal S. Tibbetts. (2012). High-content RNAi screening identifies the Type 1 inositol triphosphate receptor as a modifier of TDP-43 localization and neurotoxicity. Human Molecular Genetics. 21(22). 4845–4856. 32 indexed citations

13.

Shanware, Naval P., et al.. (2011). Casein Kinase 1-dependent Phosphorylation of Familial Advanced Sleep Phase Syndrome-associated Residues Controls PERIOD 2 Stability. Journal of Biological Chemistry. 286(14). 12766–12774. 64 indexed citations

14.

Shanware, Naval P., et al.. (2010). Conserved and Distinct Modes of CREB/ATF Transcription Factor Regulation by PP2A/B56γ and Genotoxic Stress. PLoS ONE. 5(8). e12173–e12173. 22 indexed citations

15.

Summer, Heike, Li Ou, Lihong Zhan, et al.. (2009). HMGA2 exhibits dRP/AP site cleavage activity and protects cancer cells from DNA-damage-induced cytotoxicity during chemotherapy. Nucleic Acids Research. 37(13). 4371–4384. 71 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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