Jane Chen
Impact in
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Neuropeptides and Animal Physiology
Papers in
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- Neuroscience and Neuropharmacology Research 11
- Genetic Neurodegenerative Diseases 9
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Michael S. Levine (13 shared papers)Carlos Cepeda (14 shared papers)Richard D. Palmiter (8 shared papers)Elizabeth A. Wang (2 shared papers)Brooke C. Jarvie (2 shared papers)Carlos Campos (3 shared papers)Peter A. Crawford (2 shared papers)Ajit H. Janardhan (1 shared paper)
- Journals
- PLoS Currents (3 papers)Nature Communications (2 papers)Neurobiology of Disease (2 papers)Cell (2 papers)eLife (2 papers)
- Partner nations
- United StatesMalawiBrazil
In The Last Decade
Jane Chen
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 592
- Endocrine and Autonomic Systems 116
- Neurology 184
- Physiology 260
- Sensory Systems 46
Countries citing papers authored by Jane Chen
This map shows the geographic impact of Jane 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 Jane Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Chen more than expected).
Fields of papers citing papers by Jane Chen
This network shows the impact of papers produced by Jane 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 Jane Chen. The network helps show where Jane Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane 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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 132 | |
| 2 | 2017 | 112 | |
| 3 | 2018 | 101 | |
| 4 | 2013 | 100 | |
| 5 | 2013 | 99 | |
| 6 | 2022 | 92 | |
| 7 | 2015 | 90 | |
| 8 | 2022 | 82 | |
| 9 | Altered systemic ketone body metabolism in advanced heart failure. | 2011 | 62 |
| 10 | 2020 | 60 | |
| 11 | 2007 | 53 | |
| 12 | 2011 | 48 | |
| 13 | 2015 | 44 | |
| 14 | 2013 | 43 | |
| 15 | 2010 | 40 | |
| 16 | 2010 | 39 | |
| 17 | 2021 | 32 | |
| 18 | 2013 | 28 | |
| 19 | 2014 | 27 | |
| 20 | 2020 | 24 |
About Jane Chen
Jane Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Neurology and Genetics, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Genetic Neurodegenerative Diseases (9 papers), Neurological disorders and treatments (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Memory and Neural Mechanisms (3 papers), Neuroendocrine regulation and behavior (2 papers), Single-cell and spatial transcriptomics (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (592 citations), Endocrine and Autonomic Systems (116 citations), Neurology (184 citations), Physiology (260 citations) and Sensory Systems (46 citations). Jane Chen has collaborated with scholars based in United States, Malawi and Brazil. Frequent co-authors include Michael S. Levine, Carlos Cepeda, Richard D. Palmiter, Elizabeth A. Wang, Brooke C. Jarvie, Carlos Campos, Peter A. Crawford, Ajit H. Janardhan, Gary W. Mathern and Harry V. Vinters. Their work appears in journals such as PLoS Currents, Nature Communications, Neurobiology of Disease, Cell and eLife.
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.