Phillip T. Newton
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research 2
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms 8
- Neurology top 10%
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- Autophagy in Disease and Therapy 4
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- Molecular Biology Techniques and Applications 3
- RNA Research and Splicing 3
- Bone Metabolism and Diseases 3
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- Connective tissue disorders research 3
- Mesenchymal stem cell research 2
- Co-authors
- Andrei S. ChaginThibault BouderliqueBjörn BareniusLei LiEkaterina V. MedvedevaNiccolò TerrandoTing YangKaterina Akassoglou
- Journals
- Nature Communications (3 papers)SHILAP Revista de lepidopterología (1 paper)Biochemical Journal (1 paper)
- Partner nations
- SwedenRussiaUnited States
In The Last Decade
Phillip T. Newton
20 papers receiving 763 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 75
- Critical Care and Intensive Care Medicine 79
- Rheumatology 218
- Neurology 75
- Cancer Research 131
Countries citing papers authored by Phillip T. Newton
This map shows the geographic impact of Phillip T. Newton'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 Phillip T. Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip T. Newton more than expected).
Fields of papers citing papers by Phillip T. Newton
This network shows the impact of papers produced by Phillip T. Newton. 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 Phillip T. Newton. The network helps show where Phillip T. Newton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip T. Newton, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 33 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 56 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 27 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 93 | |
| 13 | 2018 | 18 | |
| 14 | 2016 | 86 | |
| 15 | 2015 | 115 | |
| 16 | 2015 | 22 | |
| 17 | 2015 | 40 | |
| 18 | 2015 | 65 | |
| 19 | 2014 | 71 | |
| 20 | 2012 | 72 |
About Phillip T. Newton
Phillip T. Newton is a scholar working on Rheumatology, Developmental Neuroscience and Critical Care and Intensive Care Medicine, having authored 20 papers that have together received 772 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Autophagy in Disease and Therapy (4 papers), Molecular Biology Techniques and Applications (3 papers), Connective tissue disorders research (3 papers), RNA Research and Splicing (3 papers), Bone Metabolism and Diseases (3 papers), Mesenchymal stem cell research (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Critical Care and Intensive Care Medicine (79 citations) and Rheumatology (218 citations). Phillip T. Newton has collaborated with scholars based in Sweden, Russia and United States. Frequent co-authors include Andrei S. Chagin, Thibault Bouderlique, Björn Barenius, Lei Li, Ekaterina V. Medvedeva, Niccolò Terrando, Ting Yang, Katerina Akassoglou, Katherine Staines and Colin Farquharson. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Biochemical Journal.
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.