Queensta Millet
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
- Diet and metabolism studies
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
Papers in
-
- Ion channel regulation and function 4
- Muscle Physiology and Disorders 3
- Pluripotent Stem Cells Research 2
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- Pain Mechanisms and Treatments 5
- Co-authors
- Jing Zhao (6 shared papers)John N. Wood (7 shared papers)Shafaq Sikandar (4 shared papers)Sonia Santana‐Varela (3 shared papers)Michael S. Minett (2 shared papers)Joanne Lau (1 shared paper)Majid Hashemi (1 shared paper)Alberic Fiennes (1 shared paper)
- Journals
- Brain (2 papers)Journal of Visualized Experiments (2 papers)The EMBO Journal (1 paper)Nature Communications (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- United KingdomItalySpain
In The Last Decade
Queensta Millet
11 papers receiving 642 citations
Peers
Comparison fields: 5 of 70
- Physiology 411
- Cellular and Molecular Neuroscience 205
- Endocrine and Autonomic Systems 71
- Sensory Systems 26
- Pharmacy 22
Countries citing papers authored by Queensta Millet
This map shows the geographic impact of Queensta Millet'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 Queensta Millet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Queensta Millet more than expected).
Fields of papers citing papers by Queensta Millet
This network shows the impact of papers produced by Queensta Millet. 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 Queensta Millet. The network helps show where Queensta Millet may publish in the future.
Co-authors
The 25 scholars most cited alongside Queensta Millet, 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 | 2013 | 202 | |
| 2 | 2015 | 134 | |
| 3 | 2018 | 130 | |
| 4 | 2018 | 53 | |
| 5 | 2021 | 47 | |
| 6 | 2013 | 27 | |
| 7 | 2014 | 26 | |
| 8 | 2020 | 19 | |
| 9 | 2022 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2014 | 2 |
About Queensta Millet
Queensta Millet is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Surgery and Genetics, having authored 11 papers that have together received 649 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Ion channel regulation and function (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Muscle Physiology and Disorders (3 papers), Pluripotent Stem Cells Research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Mesenchymal stem cell research (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Physiology (411 citations), Cellular and Molecular Neuroscience (205 citations), Endocrine and Autonomic Systems (71 citations), Sensory Systems (26 citations) and Pharmacy (22 citations). Queensta Millet has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Jing Zhao, John N. Wood, Shafaq Sikandar, Sonia Santana‐Varela, Michael S. Minett, Joanne Lau, Majid Hashemi, Alberic Fiennes, Ahmed Yousseif and Marco Adamo. Their work appears in journals such as Brain, Journal of Visualized Experiments, The EMBO Journal, Nature Communications and EMBO Molecular Medicine.
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.