Niran Hadad
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Epigenetics and DNA Methylation 11
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- Alzheimer's disease research and treatments 4
- Dietary Effects on Health 2
- Co-authors
- Willard M. Freeman (14 shared papers)Dustin R. Masser (9 shared papers)Archana Unnikrishnan (8 shared papers)Arlan Richardson (8 shared papers)David R. Stanford (9 shared papers)Benjamin Wronowski (5 shared papers)Matthew M. Ford (3 shared papers)Colleen A. Mangold (3 shared papers)
- Journals
- Alzheimer s & Dementia (4 papers)GeroScience (3 papers)Aging Cell (2 papers)Neurobiology of Aging (2 papers)Epigenetics & Chromatin (2 papers)
- Partner nations
- United StatesNorwayGermany
In The Last Decade
Niran Hadad
23 papers receiving 657 citations
Peers
Comparison fields: 5 of 77
- Aging 63
- Biological Psychiatry 40
- Neurology 130
- Developmental Neuroscience 37
- Behavioral Neuroscience 30
Countries citing papers authored by Niran Hadad
This map shows the geographic impact of Niran Hadad'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 Niran Hadad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niran Hadad more than expected).
Fields of papers citing papers by Niran Hadad
This network shows the impact of papers produced by Niran Hadad. 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 Niran Hadad. The network helps show where Niran Hadad may publish in the future.
Co-authors
The 25 scholars most cited alongside Niran Hadad, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 148 | |
| 2 | 2018 | 69 | |
| 3 | 2017 | 58 | |
| 4 | 2018 | 49 | |
| 5 | 2018 | 42 | |
| 6 | 2016 | 41 | |
| 7 | 2020 | 37 | |
| 8 | 2018 | 32 | |
| 9 | 2018 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2017 | 21 | |
| 12 | 2019 | 21 | |
| 13 | 2022 | 17 | |
| 14 | 2019 | 15 | |
| 15 | 2016 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2022 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 2 |
About Niran Hadad
Niran Hadad is a scholar working on Molecular Biology, Physiology, Genetics, Neurology and Biological Psychiatry, having authored 24 papers that have together received 666 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Tryptophan and brain disorders (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Identity, Memory, and Therapy (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Aging (63 citations), Biological Psychiatry (40 citations), Neurology (130 citations), Developmental Neuroscience (37 citations) and Behavioral Neuroscience (30 citations). Niran Hadad has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Willard M. Freeman, Dustin R. Masser, Archana Unnikrishnan, Arlan Richardson, David R. Stanford, Benjamin Wronowski, Matthew M. Ford, Colleen A. Mangold, Jordan Jackson and William E. Sonntag. Their work appears in journals such as Alzheimer s & Dementia, GeroScience, Aging Cell, Neurobiology of Aging and Epigenetics & Chromatin.
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.