Jay M. Maniar
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
-
- MicroRNA in disease regulation 2
- Co-authors
- Andrew Fire (9 shared papers)Melanie P. Gygi (1 shared paper)Steven P. Gygi (1 shared paper)Eric Lieberman Greer (1 shared paper)Anne Brunet (1 shared paper)Scott Kennedy (2 shared papers)Julia Pak (2 shared papers)Sam Guoping Gu (1 shared paper)
- Journals
- Molecular Cell (1 paper)Current Biology (1 paper)Journal of Biological Chemistry (1 paper)Cell (1 paper)Epigenetics & Chromatin (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Jay M. Maniar
10 papers receiving 1.8k citations
Jay M. Maniar's Hit Papers
Peers
Comparison fields: 5 of 103
- Aging 343
- Geriatrics and Gerontology 94
- Molecular Biology 1.2k
- Immunology 345
- Cancer Research 138
Countries citing papers authored by Jay M. Maniar
This map shows the geographic impact of Jay M. Maniar'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 Jay M. Maniar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay M. Maniar more than expected).
Fields of papers citing papers by Jay M. Maniar
This network shows the impact of papers produced by Jay M. Maniar. 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 Jay M. Maniar. The network helps show where Jay M. Maniar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay M. Maniar, 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 | The Energy Sensor AMP-activated Protein Kinase Directly Regulates the Mammalian FOXO3 Transcription Factor Hit paper breakdown → | 2007 | 686 |
| 2 | 2009 | 308 | |
| 3 | 2012 | 205 | |
| 4 | 2010 | 187 | |
| 5 | 2010 | 157 | |
| 6 | 2012 | 99 | |
| 7 | 2011 | 68 | |
| 8 | 2012 | 63 | |
| 9 | 2010 | 21 | |
| 10 | 2011 | 10 |
About Jay M. Maniar
Jay M. Maniar is a scholar working on Molecular Biology, Cancer Research, Geriatrics and Gerontology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Aging (343 citations), Geriatrics and Gerontology (94 citations), Molecular Biology (1.2k citations), Immunology (345 citations) and Cancer Research (138 citations). Jay M. Maniar has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Andrew Fire, Melanie P. Gygi, Steven P. Gygi, Eric Lieberman Greer, Anne Brunet, Scott Kennedy, Julia Pak, Sam Guoping Gu, Shouhong Guang and David B. Miklos. Their work appears in journals such as Molecular Cell, Current Biology, Journal of Biological Chemistry, Cell 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.