Jayesh Sheth
Impact in
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Rheumatology top 10%
- Folate and B Vitamins Research
Papers in
- Physiology 38
- Lysosomal Storage Disorders Research 34
- Calcium signaling and nucleotide metabolism 8
- Genetics 34
- Genomic variations and chromosomal abnormalities 19
- Co-authors
- Frenny Sheth (79 shared papers)Mehul Mistri (25 shared papers)Chaitanya Datar (12 shared papers)Rama Vaidya (8 shared papers)Koumudi Godbole (5 shared papers)Raju Shah (6 shared papers)Manisha Desai (9 shared papers)Mahesh Kamate (9 shared papers)
In The Last Decade
Jayesh Sheth
109 papers receiving 943 citations
Peers
Comparison fields: 5 of 93
- Physiology 310
- Physiology 57
- Rheumatology 120
- Genetics 231
- Pediatrics, Perinatology and Child Health 146
Countries citing papers authored by Jayesh Sheth
This map shows the geographic impact of Jayesh 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 Jayesh Sheth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayesh Sheth more than expected).
Fields of papers citing papers by Jayesh Sheth
This network shows the impact of papers produced by Jayesh 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 Jayesh Sheth. The network helps show where Jayesh Sheth may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayesh 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
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 55 | |
| 2 | 2011 | 51 | |
| 3 | 2013 | 44 | |
| 4 | 2015 | 38 | |
| 5 | 2009 | 35 | |
| 6 | 2012 | 33 | |
| 7 | 2007 | 32 | |
| 8 | Gene polymorphism and folate metabolism: a maternal risk factor for Down syndrome. | 2003 | 31 |
| 9 | 1997 | 28 | |
| 10 | 2006 | 28 | |
| 11 | 2009 | 27 | |
| 12 | 2018 | 26 | |
| 13 | Cytogenetic analysis of Down syndrome in Gujarat. | 2007 | 25 |
| 14 | Umbilical cord blood: current status & promise for the future. | 2011 | 22 |
| 15 | 2014 | 22 | |
| 16 | 1999 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2016 | 17 |
About Jayesh Sheth
Jayesh Sheth is a scholar working on Physiology, Genetics, Molecular Biology, Cell Biology and Epidemiology, having authored 113 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (34 papers), Genomic variations and chromosomal abnormalities (19 papers), Cellular transport and secretion (13 papers), Trypanosoma species research and implications (10 papers), Calcium signaling and nucleotide metabolism (8 papers), Prenatal Screening and Diagnostics (7 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Skin and Cellular Biology Research (5 papers). The work is most often cited by research in Physiology (310 citations), Physiology (57 citations), Rheumatology (120 citations), Genetics (231 citations) and Pediatrics, Perinatology and Child Health (146 citations). Jayesh Sheth has collaborated with scholars based in India, Poland and Germany. Frequent co-authors include Frenny Sheth, Mehul Mistri, Chaitanya Datar, Rama Vaidya, Koumudi Godbole, Raju Shah, Manisha Desai, Mahesh Kamate, David H. McKenna and Thomas Liehr. Their work appears in journals such as Molecular Cytogenetics, BMC Pediatrics, BMC Neurology, European Journal of Medical Genetics and Orphanet Journal of Rare Diseases.
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.