Nirav M. Amin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
-
- Congenital heart defects research 9
- Developmental Biology and Gene Regulation 4
- 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)Joan M. Taylor (1 shared paper)Victoria L. Bautch (1 shared paper)
- Journals
- Development (8 papers)Developmental Biology (4 papers)Methods (1 paper)Developmental Dynamics (1 paper)Birth Defects Research Part A Clinical and Molecular Teratology (1 paper)
- Partner nations
- United States
In The Last Decade
Nirav M. Amin
19 papers receiving 416 citations
Peers
Comparison fields: 5 of 69
- Aging 110
- Molecular Biology 306
- Cell Biology 67
- Endocrine and Autonomic Systems 27
- 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 | 40 | |
| 5 | 2015 | 35 | |
| 6 | 2006 | 28 | |
| 7 | 2009 | 27 | |
| 8 | 2010 | 23 | |
| 9 | 2014 | 22 | |
| 10 | 2017 | 18 | |
| 11 | 2014 | 18 | |
| 12 | 2013 | 13 | |
| 13 | 2008 | 13 | |
| 14 | 2015 | 12 | |
| 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 421 indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Developmental Biology and Gene Regulation (4 papers), Circadian rhythm and melatonin (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Reproductive Biology and Fertility (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Aging (110 citations), Molecular Biology (306 citations), Cell Biology (67 citations), Endocrine and Autonomic Systems (27 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, Joan M. Taylor, Victoria L. Bautch, Erich J. Kushner and Nanette M. Nascone‐Yoder. Their work appears in journals such as Development, Developmental Biology, Methods, Developmental Dynamics and Birth Defects Research Part A Clinical and Molecular Teratology.
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.