Zuolin Cheng

1.9k total citations · 1 hit paper
9 papers, 867 citations indexed

About

Zuolin Cheng is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Zuolin Cheng has authored 9 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Developmental Neuroscience. Recurrent topics in Zuolin Cheng's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). Zuolin Cheng is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). Zuolin Cheng collaborates with scholars based in United States and China. Zuolin Cheng's co-authors include Guoqiang Yu, Qingyun Li, Lu Zhou, Lu Sun, Tony Wyss‐Coray, Mariko L. Bennett, Norma Neff, Jennifer Okamoto, Spyros Darmanis and Laura Clarke and has published in prestigious journals such as Neuron, Nature Neuroscience and Immunity.

In The Last Decade

Zuolin Cheng

9 papers receiving 863 citations

Hit Papers

Developmental Heterogeneity of Microglia and Brain Myeloi... 2018 2026 2020 2023 2018 200 400 600
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.

  1. Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing
    2018 697 citations Qingyun Li, Zuolin Cheng et al. Neuron profile →

Peers

Zuolin Cheng
Hannah Van Hove Belgium
Yanxia Rao China
Beatriz Almolda Spain
Nellie Anne Martin Denmark
Mackenzie A. Michell‐Robinson Canada
Katharine E. Askew United Kingdom
Enikö Sajti United States
Moumita Datta Germany
Alexander H. De Haas Netherlands
Indigo V.L. Rose United States
Hannah Van Hove Belgium
Zuolin Cheng
Citations per year, relative to Zuolin Cheng Zuolin Cheng (= 1×) peers Hannah Van Hove

Countries citing papers authored by Zuolin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Zuolin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuolin Cheng

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

All Works

9 of 9 papers shown
1.
Zhang, Yihe, et al.. (2025). Neurons sequester the cholesterol-inhibiting TFEB in oligodendrocyte cytoplasm to safeguard myelination and neural function. Cell Reports. 44(9). 116252–116252. 1 indexed citations
2.
Abduljawad, Nora, Zuolin Cheng, Min Woo Kim, et al.. (2024). An inducible genetic tool to track and manipulate specific microglial states reveals their plasticity and roles in remyelination. Immunity. 57(6). 1394–1412.e8. 32 indexed citations
3.
Chen, Junli, et al.. (2024). Advances in human norovirus research: Vaccines, genotype distribution and antiviral strategies. Virus Research. 350. 199486–199486. 3 indexed citations
4.
Du, Dongping, Zuolin Cheng, Sarah J. Parker, et al.. (2022). Cosbin: cosine score-based iterative normalization of biologically diverse samples. Bioinformatics Advances. 2(1). vbac076–vbac076. 3 indexed citations
5.
Cheng, Zuolin, et al.. (2022). A Single-Cell-Resolution Quantitative Metric of Similarity to a Target Cell Type for scRNA-seq Data. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2824–2831. 3 indexed citations
6.
Parker, Sarah J., Zuolin Cheng, Georgia Saylor, et al.. (2022). COT: an efficient and accurate method for detecting marker genes among many subtypes. Bioinformatics Advances. 2(1). vbac037–vbac037. 12 indexed citations
7.
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
8.
Li, Qingyun, Zuolin Cheng, Lu Zhou, et al.. (2018). Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing. Neuron. 101(2). 207–223.e10. 697 indexed citations breakdown →
9.
Cao, Hong, M. Idalia Cruz, Lü Jin, et al.. (2018). Paternal malnutrition programs breast cancer risk and tumor metabolism in offspring. Breast Cancer Research. 20(1). 99–99. 37 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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