Jayesh S. Salvi

446 total citations
9 papers, 325 citations indexed

About

Jayesh S. Salvi is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Jayesh S. Salvi has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Physiology and 1 paper in Genetics. Recurrent topics in Jayesh S. Salvi's work include RNA Research and Splicing (4 papers), Telomeres, Telomerase, and Senescence (3 papers) and DNA Repair Mechanisms (2 papers). Jayesh S. Salvi is often cited by papers focused on RNA Research and Splicing (4 papers), Telomeres, Telomerase, and Senescence (3 papers) and DNA Repair Mechanisms (2 papers). Jayesh S. Salvi collaborates with scholars based in Canada, United States and United Kingdom. Jayesh S. Salvi's co-authors include Karim Mekhail, Janet N.Y. Chan, Jonathan B. Olsen, Betty Poon, Andrew Emili, Thomas A. Rando, Cindy T. J. van Velthoven, Antoine de Morrée, Marco Quarta and Stefano Biressi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Cell Metabolism.

In The Last Decade

Jayesh S. Salvi

9 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jayesh S. Salvi Canada	9	269	51	31	29	29	9	325
Roman Lyakhovetsky Israel	8	330 1.2×	53 1.0×	28 0.9×	15 0.5×	117 4.0×	8	413
Rachel Spokoini Israel	6	267 1.0×	17 0.3×	46 1.5×	15 0.5×	73 2.5×	7	352
Juvid Aryaman United Kingdom	9	212 0.8×	25 0.5×	16 0.5×	14 0.5×	8 0.3×	11	267
Casey O. Swoboda United States	3	187 0.7×	54 1.1×	13 0.4×	29 1.0×	24 0.8×	5	227
Kira Allmeroth Germany	7	137 0.5×	26 0.5×	13 0.4×	52 1.8×	32 1.1×	10	248
Gilson J. Sanchez United States	5	462 1.7×	26 0.5×	13 0.4×	33 1.1×	19 0.7×	7	505
Christl Gaubitz United States	9	342 1.3×	19 0.4×	10 0.3×	13 0.4×	67 2.3×	11	400
Chihana Kabuta Japan	9	200 0.7×	20 0.4×	8 0.3×	20 0.7×	40 1.4×	13	303
Jung-Hoon Pyo South Korea	10	157 0.6×	60 1.2×	85 2.7×	7 0.2×	18 0.6×	15	283
Rongrong Le China	9	541 2.0×	30 0.6×	16 0.5×	12 0.4×	23 0.8×	13	592

Countries citing papers authored by Jayesh S. Salvi

Since Specialization

Citations

This map shows the geographic impact of Jayesh S. Salvi'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 S. Salvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayesh S. Salvi more than expected).

Fields of papers citing papers by Jayesh S. Salvi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayesh S. Salvi. 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 S. Salvi. The network helps show where Jayesh S. Salvi may publish in the future.

Co-authorship network of co-authors of Jayesh S. Salvi

This figure shows the co-authorship network connecting the top 25 collaborators of Jayesh S. Salvi. A scholar is included among the top collaborators of Jayesh S. Salvi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jayesh S. Salvi. Jayesh S. Salvi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Kang, Jengmin, Daniel I. Benjamin, Soochi Kim, et al.. (2024). Depletion of SAM leading to loss of heterochromatin drives muscle stem cell ageing. Nature Metabolism. 6(1). 153–168. 31 indexed citations

2.

Colville, Alex, Cristina Rodríguez-Mateo, Samantha M. Thomas, et al.. (2023). Death-seq identifies regulators of cell death and senolytic therapies. Cell Metabolism. 35(10). 1814–1829.e6. 18 indexed citations

3.

Salvi, Jayesh S., Jengmin Kang, Soochi Kim, et al.. (2022). ATR activity controls stem cell quiescence via the cyclin F–SCF complex. Proceedings of the National Academy of Sciences. 119(18). e2115638119–e2115638119. 9 indexed citations

4.

Morrée, Antoine de, Cindy T. J. van Velthoven, Qiang Gan, et al.. (2017). Staufen1 inhibits MyoD translation to actively maintain muscle stem cell quiescence. Proceedings of the National Academy of Sciences. 114(43). E8996–E9005. 66 indexed citations

5.

Abraham, Karan Joshua, Janet N.Y. Chan, Jayesh S. Salvi, et al.. (2016). Intersection of calorie restriction and magnesium in the suppression of genome-destabilizing RNA–DNA hybrids. Nucleic Acids Research. 44(18). 8870–8884. 22 indexed citations

6.

Salvi, Jayesh S. & Karim Mekhail. (2015). R-loops highlight the nucleus in ALS. Nucleus. 6(1). 23–29. 35 indexed citations

7.

Salvi, Jayesh S., Janet N.Y. Chan, Jonathan B. Olsen, et al.. (2014). Roles for Pbp1 and Caloric Restriction in Genome and Lifespan Maintenance via Suppression of RNA-DNA Hybrids. Developmental Cell. 30(2). 177–191. 52 indexed citations

8.

Salvi, Jayesh S., et al.. (2012). Enforcement of a lifespan‐sustaining distribution of Sir2 between telomeres, mating‐type loci, and rDNA repeats by Rif1. Aging Cell. 12(1). 67–75. 24 indexed citations

9.

Chan, Janet N.Y., Betty Poon, Jayesh S. Salvi, et al.. (2011). Perinuclear Cohibin Complexes Maintain Replicative Life Span via Roles at Distinct Silent Chromatin Domains. Developmental Cell. 20(6). 867–879. 68 indexed citations

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.

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