Ujwal Sheth
Impact in
- Aging top 2%
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- RNA Interference and Gene Delivery
Papers in
-
- RNA Research and Splicing 7
- Fungal and yeast genetics research 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 2
- Nuclear Structure and Function 2
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Roy Parker (5 shared papers)Muriel Brengues (1 shared paper)Daniela Teixeira (1 shared paper)Jeff Coller (1 shared paper)Morgan Tucker (1 shared paper)James R Priess (3 shared papers)Jason N. Pitt (2 shared papers)Jessica L. Feldman (1 shared paper)
- Journals
- RNA (2 papers)Science (1 paper)Molecular Cell (1 paper)Journal of Cell Science (1 paper)Development (1 paper)
- Partner nations
- United States
In The Last Decade
Ujwal Sheth
8 papers receiving 3.4k citations
Ujwal Sheth's Hit Papers
Peers
Comparison fields: 5 of 92
- Aging 153
- Molecular Biology 3.2k
- Cancer Research 356
- Endocrinology 55
- Cell Biology 126
Countries citing papers authored by Ujwal Sheth
This map shows the geographic impact of Ujwal Sheth'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 Ujwal Sheth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ujwal Sheth more than expected).
Fields of papers citing papers by Ujwal Sheth
This network shows the impact of papers produced by Ujwal Sheth. 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 Ujwal Sheth. The network helps show where Ujwal Sheth may publish in the future.
Co-authors
The 8 scholars most cited alongside Ujwal Sheth, 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 | Decapping and Decay of Messenger RNA Occur in Cytoplasmic Processing Bodies Hit paper breakdown → | 2003 | 1102 |
| 2 | P Bodies and the Control of mRNA Translation and Degradation Hit paper breakdown → | 2007 | 1056 |
| 3 | Processing bodies require RNA for assembly and contain nontranslating mRNAs Hit paper breakdown → | 2005 | 574 |
| 4 | 2001 | 292 | |
| 5 | 2006 | 237 | |
| 6 | 2010 | 152 | |
| 7 | 2012 | 63 | |
| 8 | 2010 | 2 |
About Ujwal Sheth
Ujwal Sheth is a scholar working on Molecular Biology, Aging, Plant Science, Cancer Research and Infectious Diseases, having authored 8 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Fungal and yeast genetics research (4 papers), RNA and protein synthesis mechanisms (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA modifications and cancer (2 papers), Nuclear Structure and Function (2 papers), Chromosomal and Genetic Variations (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Aging (153 citations), Molecular Biology (3.2k citations), Cancer Research (356 citations), Endocrinology (55 citations) and Cell Biology (126 citations). Ujwal Sheth has collaborated with scholars based in United States. Frequent co-authors include Roy Parker, Muriel Brengues, Daniela Teixeira, Jeff Coller, Morgan Tucker, James R Priess, Jason N. Pitt and Jessica L. Feldman. Their work appears in journals such as RNA, Science, Molecular Cell, Journal of Cell Science and 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.