Arpit Mehta

514 total citations
11 papers, 356 citations indexed

About

Arpit Mehta is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, Arpit Mehta has authored 11 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Clinical Biochemistry and 2 papers in Genetics. Recurrent topics in Arpit Mehta's work include Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Arpit Mehta is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Arpit Mehta collaborates with scholars based in United States, United Kingdom and Norway. Arpit Mehta's co-authors include Deborah Barbouth, José Silva, Claes Wahlestedt, Veronica J. Peschansky, Chiara Pastori, Jeffery M. Vance, Eden R. Martin, Gary W. Beecham, Güney Bademci and William K. Scott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Arpit Mehta

11 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arpit Mehta United States	10	260	104	64	57	44	11	356
Maïlys Daniau France	6	223 0.9×	146 1.4×	72 1.1×	63 1.1×	59 1.3×	9	412
Per Ludvik Brattås Sweden	11	415 1.6×	59 0.6×	99 1.5×	30 0.5×	93 2.1×	13	534
Adeline Ngoh United Kingdom	8	136 0.5×	175 1.7×	22 0.3×	20 0.4×	69 1.6×	15	367
Kirsten Cremer Germany	10	326 1.3×	144 1.4×	83 1.3×	8 0.1×	26 0.6×	14	436
Nichole Owen United States	9	323 1.2×	94 0.9×	42 0.7×	125 2.2×	76 1.7×	20	483
Emmanuelle Ranza Switzerland	12	137 0.5×	103 1.0×	14 0.2×	18 0.3×	36 0.8×	22	295
Ejona Rusha Germany	6	257 1.0×	56 0.5×	47 0.7×	37 0.6×	24 0.5×	9	309
Marisol Mirabelli-Badenier Italy	10	104 0.4×	100 1.0×	13 0.2×	44 0.8×	29 0.7×	13	238
Jennifer Kao Canada	8	400 1.5×	86 0.8×	69 1.1×	26 0.5×	51 1.2×	10	521

Countries citing papers authored by Arpit Mehta

Since Specialization

Citations

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

Fields of papers citing papers by Arpit Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arpit Mehta. 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 Arpit Mehta. The network helps show where Arpit Mehta may publish in the future.

Co-authorship network of co-authors of Arpit Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Arpit Mehta. A scholar is included among the top collaborators of Arpit Mehta 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 Arpit Mehta. Arpit Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Young, Juan I., Sathesh K. Sivasankaran, Lily Wang, et al.. (2019). Genome-wide brain DNA methylation analysis suggests epigenetic reprogramming in Parkinson disease. Neurology Genetics. 5(4). e342–e342. 47 indexed citations

Wang, Lan, Na Man, Xiao‐Jian Sun, et al.. (2015). Regulation of AKT signaling by Id1 controls t(8;21) leukemia initiation and progression. Blood. 126(5). 640–650. 25 indexed citations

Yu, Hong, Rajeshwari D. Koilkonda, Tsung-Han Chou, et al.. (2015). Consequences of zygote injection and germline transfer of mutant human mitochondrial DNA in mice. Proceedings of the National Academy of Sciences. 112(42). E5689–98. 27 indexed citations

Soundararajan, Ramani, Timothy M. Stearns, Anthony J. Griswold, et al.. (2015). Detection of canonical A-to-G editing events at 3′ UTRs and microRNA target sites in human lungs using next-generation sequencing. Oncotarget. 6(34). 35726–35736. 15 indexed citations

Pastori, Chiara, Veronica J. Peschansky, Deborah Barbouth, et al.. (2013). Comprehensive analysis of the transcriptional landscape of the human FMR1 gene reveals two new long noncoding RNAs differentially expressed in Fragile X syndrome and Fragile X-associated tremor/ataxia syndrome. Human Genetics. 133(1). 59–67. 82 indexed citations

Nuytemans, Karen, Güney Bademci, Amy Dressen, et al.. (2013). Whole exome sequencing of rare variants in EIF4G1 and VPS35 in Parkinson disease. Neurology. 80(11). 982–989. 48 indexed citations

Yu, Hong, Arpit Mehta, William W. Hauswirth, et al.. (2013). Next-generation sequencing of mitochondrial targeted AAV transfer of human ND4 in mice.. PubMed. 19. 1482–91. 25 indexed citations

Hedges, Dale J., Toumy Guettouche, Shan Yang, et al.. (2011). Comparison of Three Targeted Enrichment Strategies on the SOLiD Sequencing Platform. PLoS ONE. 6(4). e18595–e18595. 60 indexed citations

Mehta, Arpit, Andrea Forte, & Henning Schulzrinne. (2008). Using conference servers for sip-based vertical handoff between ip and cellular networks. 300. 28–34. 6 indexed citations

10.

Mehta, Arpit, Tom Vulliamy, E. C. Gordon‐Smith, & Lucio Luzzatto. (1989). A new genetic polymorphism in the 16S ribosomal RNA gene of human motochondrial DNA. Annals of Human Genetics. 53(4). 303–310. 10 indexed citations

11.

Poulton, Joanna, et al.. (1988). Restriction enzyme analysis of the mitochondrial genome in mitochondrial myopathy.. Journal of Medical Genetics. 25(9). 600–605. 11 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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