Nirav M. Amin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Congenital heart defects research 9
- Developmental Biology and Gene Regulation 3
- Muscle Physiology and Disorders 2
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- Frank L. Conlon (10 shared papers)Jun Liu (6 shared papers)Herong Shi (4 shared papers)Kathleen S. Christine (2 shared papers)Devin Gibbs (2 shared papers)Panna Tandon (3 shared papers)Nanette M. Nascone‐Yoder (4 shared papers)Victoria L. Bautch (1 shared paper)
- Journals
- Development (8 papers)Developmental Biology (4 papers)Developmental Cell (1 paper)Methods (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- United States
In The Last Decade
Nirav M. Amin
19 papers receiving 419 citations
Peers
Comparison fields: 5 of 67
- Aging 106
- Endocrine and Autonomic Systems 27
- Molecular Biology 281
- Cell Biology 58
- Neuropsychology and Physiological Psychology 5
Countries citing papers authored by Nirav M. Amin
This map shows the geographic impact of Nirav M. Amin'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 Nirav M. Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav M. Amin more than expected).
Fields of papers citing papers by Nirav M. Amin
This network shows the impact of papers produced by Nirav M. Amin. 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 Nirav M. Amin. The network helps show where Nirav M. Amin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirav M. Amin, 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 | 2013 | 61 | |
| 2 | 2006 | 43 | |
| 3 | 2014 | 42 | |
| 4 | 2011 | 41 | |
| 5 | 2015 | 35 | |
| 6 | 2006 | 27 | |
| 7 | 2009 | 27 | |
| 8 | 2010 | 23 | |
| 9 | 2014 | 22 | |
| 10 | 2014 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2015 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2008 | 13 | |
| 15 | 2018 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2018 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 0 |
About Nirav M. Amin
Nirav M. Amin is a scholar working on Molecular Biology, Aging, Cell Biology, Surgery and Endocrine and Autonomic Systems, having authored 20 papers that have together received 423 indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Circadian rhythm and melatonin (3 papers), Developmental Biology and Gene Regulation (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Muscle Physiology and Disorders (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Aging (106 citations), Endocrine and Autonomic Systems (27 citations), Molecular Biology (281 citations), Cell Biology (58 citations) and Neuropsychology and Physiological Psychology (5 citations). Nirav M. Amin has collaborated with scholars based in United States. Frequent co-authors include Frank L. Conlon, Jun Liu, Herong Shi, Kathleen S. Christine, Devin Gibbs, Panna Tandon, Nanette M. Nascone‐Yoder, Victoria L. Bautch, Joan M. Taylor and Erich J. Kushner. Their work appears in journals such as Development, Developmental Biology, Developmental Cell, Methods and Mechanisms of Development.
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.