Meetu Seth
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 3
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Masaki Shirayama (7 shared papers)Craig C. Mello (7 shared papers)Takao Ishidate (4 shared papers)Darryl Conte (3 shared papers)Weifeng Gu (3 shared papers)Heng-Chi Lee (2 shared papers)Krishna S. Ghanta (1 shared paper)Heesun Kim (1 shared paper)
- Journals
- Developmental Cell (2 papers)Current Biology (1 paper)Genetics (1 paper)American Journal Of Pathology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Meetu Seth
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Aging 513
- Molecular Biology 933
- Plant Science 323
- Genetics 140
- Endocrine and Autonomic Systems 32
Countries citing papers authored by Meetu Seth
This map shows the geographic impact of Meetu Seth'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 Meetu Seth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meetu Seth more than expected).
Fields of papers citing papers by Meetu Seth
This network shows the impact of papers produced by Meetu Seth. 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 Meetu Seth. The network helps show where Meetu Seth may publish in the future.
Co-authors
The 25 scholars most cited alongside Meetu Seth, 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 | 2012 | 438 | |
| 2 | 2014 | 212 | |
| 3 | 2013 | 179 | |
| 4 | 2009 | 75 | |
| 5 | 2018 | 74 | |
| 6 | 2018 | 34 | |
| 7 | 2018 | 34 | |
| 8 | 2014 | 27 | |
| 9 | 2013 | 27 | |
| 10 | 2012 | 21 | |
| 11 | 2015 | 5 | |
| 12 | 2022 | 1 |
About Meetu Seth
Meetu Seth is a scholar working on Molecular Biology, Aging, Plant Science, Cellular and Molecular Neuroscience and Ecology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), RNA Research and Splicing (3 papers), Mycobacterium research and diagnosis (2 papers), Bacteriophages and microbial interactions (2 papers), Chromosomal and Genetic Variations (2 papers), Plant Molecular Biology Research (1 paper) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Aging (513 citations), Molecular Biology (933 citations), Plant Science (323 citations), Genetics (140 citations) and Endocrine and Autonomic Systems (32 citations). Meetu Seth has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Masaki Shirayama, Craig C. Mello, Takao Ishidate, Darryl Conte, Weifeng Gu, Heng-Chi Lee, Krishna S. Ghanta, Heesun Kim, En-Zhi Shen and Elise A. Lamont. Their work appears in journals such as Developmental Cell, Current Biology, Genetics, American Journal Of Pathology and Cell Reports.
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.