Nathan Harmston
Impact in
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
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- Genetic Neurodegenerative Diseases
Papers in
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- Wnt/β-catenin signaling in development and cancer 12
- Genomics and Chromatin Dynamics 7
- Biomedical Text Mining and Ontologies 2
- Pluripotent Stem Cells Research 2
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Boris Lenhard (4 shared papers)Enrico G. Petretto (18 shared papers)David M. Virshup (12 shared papers)Babita Madan (10 shared papers)Elizabeth Ing‐Simmons (2 shared papers)Malcolm Perry (2 shared papers)Ge Tan (1 shared paper)Matthias Merkenschlager (1 shared paper)
- Journals
- Nature Communications (5 papers)Journal of Clinical Investigation (3 papers)Cell Reports (3 papers)Scientific Reports (2 papers)Cells (2 papers)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Nathan Harmston
41 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 910
- Cellular and Molecular Neuroscience 113
- Aging 11
- Oncology 137
- Developmental Neuroscience 19
Countries citing papers authored by Nathan Harmston
This map shows the geographic impact of Nathan Harmston'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 Nathan Harmston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Harmston more than expected).
Fields of papers citing papers by Nathan Harmston
This network shows the impact of papers produced by Nathan Harmston. 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 Nathan Harmston. The network helps show where Nathan Harmston may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Harmston, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 286 | |
| 2 | 2017 | 127 | |
| 3 | 2022 | 93 | |
| 4 | 2019 | 88 | |
| 5 | 2013 | 84 | |
| 6 | 2018 | 69 | |
| 7 | 2017 | 66 | |
| 8 | 2019 | 66 | |
| 9 | 2018 | 58 | |
| 10 | 2013 | 56 | |
| 11 | 2019 | 55 | |
| 12 | 2015 | 50 | |
| 13 | 2019 | 46 | |
| 14 | 2020 | 43 | |
| 15 | 2010 | 41 | |
| 16 | 2021 | 38 | |
| 17 | 2022 | 32 | |
| 18 | 2018 | 30 | |
| 19 | 2020 | 26 | |
| 20 | 2024 | 21 |
About Nathan Harmston
Nathan Harmston is a scholar working on Molecular Biology, Aging, Rehabilitation, Hematology and Cancer Research, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (12 papers), Genomics and Chromatin Dynamics (7 papers), Biomedical Text Mining and Ontologies (2 papers), Genetic Neurodegenerative Diseases (2 papers), Multiple Myeloma Research and Treatments (2 papers), Pluripotent Stem Cells Research (2 papers), Wound Healing and Treatments (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Molecular Biology (910 citations), Cellular and Molecular Neuroscience (113 citations), Aging (11 citations), Oncology (137 citations) and Developmental Neuroscience (19 citations). Nathan Harmston has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Boris Lenhard, Enrico G. Petretto, David M. Virshup, Babita Madan, Elizabeth Ing‐Simmons, Malcolm Perry, Ge Tan, Matthias Merkenschlager, Wendy Filsell and Michael P. H. Stumpf. Their work appears in journals such as Nature Communications, Journal of Clinical Investigation, Cell Reports, Scientific Reports and Cells.
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.