Leslie Chen
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Health top 10%
- Health disparities and outcomes
Papers in
-
- Mitochondrial Function and Pathology 2
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Machine Learning in Bioinformatics 1
- Genomics and Chromatin Dynamics 1
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- Genetic Neurodegenerative Diseases 2
- Co-authors
- Geneviève Konopka (4 shared papers)Daniel H. Geschwind (3 shared papers)Todd M. Preuss (2 shared papers)Guang-Zhong Wang (2 shared papers)C. Robert Horsburgh (1 shared paper)Daniel R. Brooks (1 shared paper)Fuying Gao (3 shared papers)Jeremy Davis‐Turak (1 shared paper)
- Journals
- Neuron (2 papers)Human Molecular Genetics (1 paper)The Journal of Heart and Lung Transplantation (1 paper)Molecular and Cellular Biology (1 paper)American Journal of Public Health (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Leslie Chen
8 papers receiving 515 citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 108
- Health 42
- Transplantation 13
- Developmental Neuroscience 16
- Molecular Biology 223
Countries citing papers authored by Leslie Chen
This map shows the geographic impact of Leslie Chen'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 Leslie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie Chen more than expected).
Fields of papers citing papers by Leslie Chen
This network shows the impact of papers produced by Leslie Chen. 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 Leslie Chen. The network helps show where Leslie Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Leslie Chen, 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 | 2012 | 193 | |
| 2 | 2007 | 125 | |
| 3 | 2015 | 95 | |
| 4 | 2014 | 42 | |
| 5 | 2013 | 37 | |
| 6 | 2001 | 29 | |
| 7 | 2000 | 4 | |
| 8 | A protocol for capturing daily variability in nursing care. | 2010 | 3 |
| 9 | 2015 | 0 |
About Leslie Chen
Leslie Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, General Health Professions and Issues, ethics and legal aspects, having authored 9 papers that have together received 528 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (2 papers), Genetic Neurodegenerative Diseases (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Neural dynamics and brain function (1 paper), Machine Learning in Bioinformatics (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cognitive Neuroscience (108 citations), Health (42 citations), Transplantation (13 citations), Developmental Neuroscience (16 citations) and Molecular Biology (223 citations). Leslie Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Geneviève Konopka, Daniel H. Geschwind, Todd M. Preuss, Guang-Zhong Wang, C. Robert Horsburgh, Daniel R. Brooks, Fuying Gao, Jeremy Davis‐Turak, Kellen D. Winden and Michael C. Oldham. Their work appears in journals such as Neuron, Human Molecular Genetics, The Journal of Heart and Lung Transplantation, Molecular and Cellular Biology and American Journal of Public Health.
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.