Julia TCW
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 3
- Physiology 13
- Alzheimer's disease research and treatments 13
- Co-authors
- Alison Goate (12 shared papers)Kristen Brennand (4 shared papers)Paul A. Slesinger (2 shared papers)Brigham J. Hartley (2 shared papers)Sarah M. Neuner (1 shared paper)Kathryn R. Bowles (2 shared papers)Bin Zhang (3 shared papers)Minghui Wang (2 shared papers)
- Journals
- Alzheimer s & Dementia (4 papers)Molecular Neurodegeneration (3 papers)Molecular Psychiatry (2 papers)Stem Cell Reports (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Julia TCW
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 164
- Neurology 290
- Biological Psychiatry 65
- Aging 35
- Physiology 373
Countries citing papers authored by Julia TCW
This map shows the geographic impact of Julia TCW'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 Julia TCW with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia TCW more than expected).
Fields of papers citing papers by Julia TCW
This network shows the impact of papers produced by Julia TCW. 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 Julia TCW. The network helps show where Julia TCW may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia TCW, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 255 | |
| 2 | 2016 | 156 | |
| 3 | 2021 | 132 | |
| 4 | 2015 | 98 | |
| 5 | 2022 | 93 | |
| 6 | 2020 | 79 | |
| 7 | 2020 | 57 | |
| 8 | 2014 | 54 | |
| 9 | 2022 | 49 | |
| 10 | 2021 | 46 | |
| 11 | 2021 | 38 | |
| 12 | 2019 | 32 | |
| 13 | 2019 | 29 | |
| 14 | 2024 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2024 | 19 | |
| 17 | 2025 | 14 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2020 | 4 |
About Julia TCW
Julia TCW is a scholar working on Molecular Biology, Physiology, Neurology, Surgery and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Pluripotent Stem Cells Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), CRISPR and Genetic Engineering (5 papers), Cholesterol and Lipid Metabolism (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Single-cell and spatial transcriptomics (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Developmental Neuroscience (164 citations), Neurology (290 citations), Biological Psychiatry (65 citations), Aging (35 citations) and Physiology (373 citations). Julia TCW has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Alison Goate, Kristen Brennand, Paul A. Slesinger, Brigham J. Hartley, Sarah M. Neuner, Kathryn R. Bowles, Bin Zhang, Minghui Wang, Hemali Phatnani and Rawan Abdelaal. Their work appears in journals such as Alzheimer s & Dementia, Molecular Neurodegeneration, Molecular Psychiatry, Stem Cell Reports and Nature Communications.
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.