John Hildyard
- Aging top 10%
- Molecular Biology top 10%
- Muscle Physiology and Disorders 16
- RNA Research and Splicing 9
- Molecular Biology Techniques and Applications 6
- Mitochondrial Function and Pathology 2
- Genetics top 10%
- Virus-based gene therapy research 3
- Clinical Biochemistry top 10%
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- Silk-based biomaterials and applications 5
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- Tissue Engineering and Regenerative Medicine 3
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- Amino Acid Enzymes and Metabolism 2
- Co-authors
- Dominic J. WellsAndrew P. HalestrapRichard J. PiercyRachel HarronClaire MasseyDaniel CaballeroLeonela AmoasiiJohn M. Shelton
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
John Hildyard
21 papers receiving 842 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Aging 33
- Business and International Management 36
- Molecular Biology 775
- Genetics 197
- Clinical Biochemistry 46
Countries citing papers authored by John Hildyard
This map shows the geographic impact of John Hildyard'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 John Hildyard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hildyard more than expected).
Fields of papers citing papers by John Hildyard
This network shows the impact of papers produced by John Hildyard. 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 John Hildyard. The network helps show where John Hildyard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Hildyard, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 9 | |
| 11 | Gene editing restores dystrophin expression in a canine model of Duchenne muscular dystrophybreakdown → | 2018 | 386 |
| 12 | 2018 | 24 | |
| 13 | 2018 | 4 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 5 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 106 | |
| 18 | 2014 | 39 | |
| 19 | 2011 | 18 | |
| 20 | 2004 | 91 |
About John Hildyard
John Hildyard is a scholar working on Biological Psychiatry, Biomaterials, Molecular Biology, Biochemistry and Clinical Biochemistry, having authored 23 papers that have together received 856 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), RNA Research and Splicing (9 papers), Molecular Biology Techniques and Applications (6 papers), Silk-based biomaterials and applications (5 papers), Virus-based gene therapy research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (33 citations), Business and International Management (36 citations), Molecular Biology (775 citations), Genetics (197 citations) and Clinical Biochemistry (46 citations). John Hildyard has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Dominic J. Wells, Andrew P. Halestrap, Richard J. Piercy, Rachel Harron, Claire Massey, Daniel Caballero, Leonela Amoasii, John M. Shelton, Alex A. Mireault and Thaleia‐Rengina Stathopoulou. Their work appears in journals such as PLoS ONE, Disease Models & Mechanisms, PLoS Currents, Journal of Neuromuscular Diseases and Frontiers in Molecular Biosciences.
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.