Zuolin Cheng
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Single-cell and spatial transcriptomics 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Guoqiang Yu (6 shared papers)Lu Zhou (3 shared papers)Qingyun Li (3 shared papers)Lu Sun (2 shared papers)Julia Marschallinger (1 shared paper)Jennifer Okamoto (1 shared paper)Stephen R. Quake (1 shared paper)Spyros Darmanis (1 shared paper)
- Journals
- Virus Research (1 paper)Cell Reports (1 paper)Immunity (1 paper)Nature Neuroscience (1 paper)Neuron (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Zuolin Cheng
9 papers receiving 863 citations
Zuolin Cheng's Hit Papers
Peers
Comparison fields: 5 of 83
- Neurology 650
- Developmental Neuroscience 127
- Biological Psychiatry 66
- Immunology 358
- Behavioral Neuroscience 32
Countries citing papers authored by Zuolin Cheng
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
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-authors
The 25 scholars most cited alongside Zuolin Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing Hit paper breakdown → | 2018 | 697 |
| 2 | 2019 | 79 | |
| 3 | 2018 | 37 | |
| 4 | 2024 | 32 | |
| 5 | 2022 | 12 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2025 | 1 |
About Zuolin Cheng
Zuolin Cheng is a scholar working on Molecular Biology, Neurology, Developmental Neuroscience, Immunology and Cancer Research, having authored 9 papers that have together received 867 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Single-cell and spatial transcriptomics (2 papers), MicroRNA in disease regulation (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Immune cells in cancer (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Neurology (650 citations), Developmental Neuroscience (127 citations), Biological Psychiatry (66 citations), Immunology (358 citations) and Behavioral Neuroscience (32 citations). Zuolin Cheng has collaborated with scholars based in United States and China. Frequent co-authors include Guoqiang Yu, Lu Zhou, Qingyun Li, Lu Sun, Julia Marschallinger, Jennifer Okamoto, Stephen R. Quake, Spyros Darmanis, Laura Clarke and Norma Neff. Their work appears in journals such as Virus Research, Cell Reports, Immunity, Nature Neuroscience and Neuron.
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.