Daniel Nachun
Impact in
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- Genetic Neurodegenerative Diseases
Papers in
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- Epigenetics and DNA Methylation 5
- Mitochondrial Function and Pathology 2
- Congenital heart defects research 2
- Genomics and Chromatin Dynamics 2
- Genetics 5
- Genetic Associations and Epidemiology 3
- Co-authors
- Giovanni Coppola (7 shared papers)Steve Horvath (2 shared papers)Martı́n G. Martı́n (1 shared paper)Sophia Lewis (1 shared paper)D. Leanne Jones (1 shared paper)Stephen B. Montgomery (6 shared papers)Jennifer K. Forsyth (2 shared papers)Deepika Dokuru (3 shared papers)
- Journals
- Nature Communications (2 papers)The American Journal of Human Genetics (2 papers)Biological Psychiatry (1 paper)European Heart Journal (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Daniel Nachun
15 papers receiving 317 citations
Peers
Comparison fields: 5 of 58
- Aging 12
- Cellular and Molecular Neuroscience 59
- Biological Psychiatry 6
- Molecular Biology 179
- Genetics 55
Countries citing papers authored by Daniel Nachun
This map shows the geographic impact of Daniel Nachun'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 Daniel Nachun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nachun more than expected).
Fields of papers citing papers by Daniel Nachun
This network shows the impact of papers produced by Daniel Nachun. 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 Daniel Nachun. The network helps show where Daniel Nachun may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Nachun, 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 | 2019 | 52 | |
| 2 | 2018 | 37 | |
| 3 | 2019 | 35 | |
| 4 | 2024 | 30 | |
| 5 | 2018 | 29 | |
| 6 | 2024 | 26 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 0 |
About Daniel Nachun
Daniel Nachun is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 16 papers that have together received 321 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genetic Associations and Epidemiology (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Alzheimer's disease research and treatments (2 papers), Mitochondrial Function and Pathology (2 papers), Genetic Neurodegenerative Diseases (2 papers), Congenital heart defects research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (12 citations), Cellular and Molecular Neuroscience (59 citations), Biological Psychiatry (6 citations), Molecular Biology (179 citations) and Genetics (55 citations). Daniel Nachun has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Giovanni Coppola, Steve Horvath, Martı́n G. Martı́n, Sophia Lewis, D. Leanne Jones, Stephen B. Montgomery, Jennifer K. Forsyth, Deepika Dokuru, Carrie E. Bearden and Fuying Gao. Their work appears in journals such as Nature Communications, The American Journal of Human Genetics, Biological Psychiatry, European Heart Journal and Acta Neuropathologica Communications.
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.