Kun Leng
Impact in
Papers in
- Neurology 11
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Barrier Structure and Function Studies 2
-
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 3
- Co-authors
- Martin Kampmann (13 shared papers)Nina M. Dräger (4 shared papers)Mike A. Nalls (2 shared papers)Andrew Singleton (2 shared papers)Sayed Hadi Hashemi (2 shared papers)Faraz Faghri (2 shared papers)Jason Hong (2 shared papers)Ke Xu (1 shared paper)
- Journals
- Nature Neuroscience (4 papers)Frontiers in Aging Neuroscience (1 paper)Stem Cell Reports (1 paper)ACS Chemical Neuroscience (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Kun Leng
15 papers receiving 994 citations
Kun Leng's Hit Papers
Peers
Comparison fields: 5 of 84
- Neurology 329
- Aging 42
- Developmental Neuroscience 87
- Biological Psychiatry 51
- Physiology 215
Countries citing papers authored by Kun Leng
This map shows the geographic impact of Kun Leng'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 Kun Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Leng more than expected).
Fields of papers citing papers by Kun Leng
This network shows the impact of papers produced by Kun Leng. 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 Kun Leng. The network helps show where Kun Leng may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Leng, 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 | Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease Hit paper breakdown → | 2021 | 281 |
| 2 | Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis Hit paper breakdown → | 2021 | 245 |
| 3 | 2022 | 144 | |
| 4 | 2022 | 112 | |
| 5 | 2022 | 93 | |
| 6 | 2022 | 62 | |
| 7 | 2023 | 23 | |
| 8 | 2024 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2025 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 0 |
About Kun Leng
Kun Leng is a scholar working on Neurology, Molecular Biology, Physiology, Developmental Neuroscience and Neurology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (3 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Barrier Structure and Function Studies (2 papers), Autophagy in Disease and Therapy (2 papers) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Neurology (329 citations), Aging (42 citations), Developmental Neuroscience (87 citations), Biological Psychiatry (51 citations) and Physiology (215 citations). Kun Leng has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Martin Kampmann, Nina M. Dräger, Mike A. Nalls, Andrew Singleton, Sayed Hadi Hashemi, Faraz Faghri, Jason Hong, Ke Xu, Ruilin Tian and Emmy Li. Their work appears in journals such as Nature Neuroscience, Frontiers in Aging Neuroscience, Stem Cell Reports, ACS Chemical Neuroscience and Journal of Neuroinflammation.
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.