Simon T. Bond
Impact in
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Extracellular vesicles in disease
Papers in
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- Mitochondrial Function and Pathology 7
- CRISPR and Genetic Engineering 2
- Coenzyme Q10 studies and effects 2
- RNA modifications and cancer 2
- Metabolism, Diabetes, and Cancer 1
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- Adipose Tissue and Metabolism 8
- Alzheimer's disease research and treatments 1
- Co-authors
- Brian G. Drew (12 shared papers)Anna C. Calkin (8 shared papers)Jisu Kim (1 shared paper)Ashfaqul Hoque (2 shared papers)Priyadharshini Sivakumaran (2 shared papers)Shiang Y. Lim (2 shared papers)Jonathan S. Oakhill (2 shared papers)Darren C. Henstridge (4 shared papers)
- Journals
- Nature Communications (2 papers)Frontiers in Physiology (2 papers)Journal of Endocrinology (2 papers)Cell Death Discovery (1 paper)The FASEB Journal (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Simon T. Bond
16 papers receiving 295 citations
Peers
Comparison fields: 5 of 67
- Aging 6
- Molecular Biology 223
- Geriatrics and Gerontology 12
- Cancer Research 46
- Physiology 70
Countries citing papers authored by Simon T. Bond
This map shows the geographic impact of Simon T. Bond'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 Simon T. Bond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon T. Bond more than expected).
Fields of papers citing papers by Simon T. Bond
This network shows the impact of papers produced by Simon T. Bond. 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 Simon T. Bond. The network helps show where Simon T. Bond may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon T. Bond, 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 | 2018 | 68 | |
| 2 | 2022 | 36 | |
| 3 | 2019 | 32 | |
| 4 | 2021 | 27 | |
| 5 | 2017 | 27 | |
| 6 | 2017 | 25 | |
| 7 | 2021 | 20 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 14 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 2 | |
| 16 | Response of BRAF -Mutant Melanoma to BRAF Inhibition Is Mediated by a Network of | 2014 | 1 |
About Simon T. Bond
Simon T. Bond is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Surgery, having authored 16 papers that have together received 297 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Mitochondrial Function and Pathology (7 papers), CRISPR and Genetic Engineering (2 papers), Coenzyme Q10 studies and effects (2 papers), RNA modifications and cancer (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Aging (6 citations), Molecular Biology (223 citations), Geriatrics and Gerontology (12 citations), Cancer Research (46 citations) and Physiology (70 citations). Simon T. Bond has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Brian G. Drew, Anna C. Calkin, Jisu Kim, Ashfaqul Hoque, Priyadharshini Sivakumaran, Shiang Y. Lim, Jonathan S. Oakhill, Darren C. Henstridge, Naomi X.Y. Ling and Derek J. Hausenloy. Their work appears in journals such as Nature Communications, Frontiers in Physiology, Journal of Endocrinology, Cell Death Discovery and The FASEB 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.