Val Millar
Impact in
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 2
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- Advanced Fluorescence Microscopy Techniques 2
- Cell Image Analysis Techniques 2
- Co-authors
- Mike Clements (2 shared papers)S. Kalinka (1 shared paper)Daniel Ebner (5 shared papers)Georgios Baskozos (1 shared paper)Alex Clark (1 shared paper)Jordi Serra (1 shared paper)Andreas C. Themistocleous (1 shared paper)Iulia Blesneac (1 shared paper)
- Journals
- Pharmaceutical Research (1 paper)Cancer Medicine (1 paper)SLAS DISCOVERY (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Molecular Pharmaceutics (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Val Millar
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 89
- Aging 8
- Physiology 100
- Biophysics 20
- Molecular Biology 165
Countries citing papers authored by Val Millar
This map shows the geographic impact of Val Millar'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 Val Millar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Val Millar more than expected).
Fields of papers citing papers by Val Millar
This network shows the impact of papers produced by Val Millar. 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 Val Millar. The network helps show where Val Millar may publish in the future.
Co-authors
The 25 scholars most cited alongside Val Millar, 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 | 2019 | 144 | |
| 2 | 2015 | 65 | |
| 3 | 2014 | 28 | |
| 4 | 2015 | 16 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2016 | 1 |
About Val Millar
Val Millar is a scholar working on Molecular Biology, Biophysics, Small Animals, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 325 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers), IL-33, ST2, and ILC Pathways (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (89 citations), Aging (8 citations), Physiology (100 citations), Biophysics (20 citations) and Molecular Biology (165 citations). Val Millar has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Mike Clements, S. Kalinka, Daniel Ebner, Georgios Baskozos, Alex Clark, Jordi Serra, Andreas C. Themistocleous, Iulia Blesneac, Liam J Peck and David Bennett. Their work appears in journals such as Pharmaceutical Research, Cancer Medicine, SLAS DISCOVERY, Frontiers in Cell and Developmental Biology and Molecular Pharmaceutics.
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.