Nihar U. Sheth

19.4k total citations · 1 hit paper
29 papers, 2.4k citations indexed

About

Nihar U. Sheth is a scholar working on Molecular Biology, Epidemiology and Microbiology. According to data from OpenAlex, Nihar U. Sheth has authored 29 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Microbiology. Recurrent topics in Nihar U. Sheth's work include Reproductive tract infections research (7 papers), Genomics and Phylogenetic Studies (6 papers) and T-cell and B-cell Immunology (6 papers). Nihar U. Sheth is often cited by papers focused on Reproductive tract infections research (7 papers), Genomics and Phylogenetic Studies (6 papers) and T-cell and B-cell Immunology (6 papers). Nihar U. Sheth collaborates with scholars based in United States. Nihar U. Sheth's co-authors include Gregory A. Buck, Myrna G. Serrano, Jennifer M. Fettweis, Kimberly K. Jefferson, J. Paul Brooks, Ravi Sachidanandam, David Edwards, Philippe H. Girerd, Jerome F. Strauss and Gregory J. Hannon and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Nihar U. Sheth

27 papers receiving 2.4k citations

Hit Papers

Differences in vaginal mi... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nihar U. Sheth 1.6k 618 496 269 212 29 2.4k
Tokuma Yanai 635 0.4× 206 0.3× 826 1.7× 265 1.0× 86 0.4× 280 3.4k
Masaru Murakami 1.4k 0.9× 156 0.3× 442 0.9× 538 2.0× 84 0.4× 237 3.7k
Roxann Ingersoll 1.1k 0.7× 208 0.3× 862 1.7× 364 1.4× 120 0.6× 41 5.2k
Karsten Skjødt 1.3k 0.8× 363 0.6× 554 1.1× 2.3k 8.4× 80 0.4× 104 4.5k
Ludovic Huot 862 0.6× 152 0.2× 333 0.7× 381 1.4× 54 0.3× 30 1.6k
Sabin Bhuju 1.0k 0.7× 208 0.3× 263 0.5× 257 1.0× 22 0.1× 40 1.9k
Jeffrey Pudney 525 0.3× 490 0.8× 772 1.6× 902 3.4× 103 0.5× 58 3.4k
D. H. Percy 629 0.4× 136 0.2× 472 1.0× 283 1.1× 77 0.4× 101 2.2k
Ashok Aiyar 875 0.6× 195 0.3× 514 1.0× 264 1.0× 49 0.2× 37 1.8k
Hiroyuki TANIYAMA 483 0.3× 141 0.2× 470 0.9× 135 0.5× 67 0.3× 188 2.2k

Countries citing papers authored by Nihar U. Sheth

Since Specialization
Citations

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

Fields of papers citing papers by Nihar U. Sheth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nihar U. 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 Nihar U. Sheth. The network helps show where Nihar U. Sheth may publish in the future.

Co-authorship network of co-authors of Nihar U. Sheth

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

All Works

20 of 20 papers shown
1.
O’Brien, Megan A., Nihar U. Sheth, Steven Bradley, et al.. (2018). Ethanol-Induced Behavioral Sensitization Alters the Synaptic Transcriptome and Exon Utilization in DBA/2J Mice. Frontiers in Genetics. 9. 402–402. 13 indexed citations
4.
Girerd, Philippe H., J. Paul Brooks, Nihar U. Sheth, et al.. (2017). Association between statin use, the vaginal microbiome, and Gardnerella vaginalis vaginolysin-mediated cytotoxicity. PLoS ONE. 12(8). e0183765–e0183765. 18 indexed citations
5.
Parikh, Hardik I., Vishal N. Kopardé, Steven Bradley, Gregory A. Buck, & Nihar U. Sheth. (2016). MeFiT: merging and filtering tool for illumina paired-end reads for 16S rRNA amplicon sequencing. BMC Bioinformatics. 17(1). 491–491. 71 indexed citations
6.
Brooks, J. Paul, David Edwards, Diana Blithe, et al.. (2016). Effects of combined oral contraceptives, depot medroxyprogesterone acetate and the levonorgestrel-releasing intrauterine system on the vaginal microbiome. Contraception. 95(4). 405–413. 93 indexed citations
7.
Brooks, J. Paul, David Edwards, Michael Harwich, et al.. (2015). The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies. BMC Microbiology. 15(1). 66–66. 355 indexed citations
8.
Kopardé, Vishal N., Jeremy A. Meier, Max Jameson‐Lee, et al.. (2015). Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides Demonstrates Different Alloreactivity Potential in HLA-Matched and -Mismatched Donor–Recipient Pairs. Biology of Blood and Marrow Transplantation. 22(5). 850–861. 13 indexed citations
9.
Fettweis, Jennifer M., Myrna G. Serrano, Bernice Huang, et al.. (2014). An Emerging Mycoplasma Associated with Trichomoniasis, Vaginal Infection and Disease. PLoS ONE. 9(10). e110943–e110943. 48 indexed citations
10.
Toor, Amir A., Catherine Roberts, Max Jameson‐Lee, et al.. (2014). Stem Cell Transplantation as a Dynamical System: Are Clinical Outcomes Deterministic?. Frontiers in Immunology. 5. 613–613. 12 indexed citations
11.
Fettweis, Jennifer M., J. Paul Brooks, Myrna G. Serrano, et al.. (2014). Differences in vaginal microbiome in African American women versus women of European ancestry. Microbiology. 160(10). 2272–2282. 399 indexed citations breakdown →
13.
Kopardé, Vishal N., Ricky S. Adkins, Jennifer M. Fettweis, et al.. (2014). BOTUX: Bayesian-like operational taxonomic unit examiner. International Journal of Computational Biology and Drug Design. 7(2/3). 130–130. 1 indexed citations
14.
Martin, John, Sean M. Sykes, Sarah Young, et al.. (2012). Optimizing Read Mapping to Reference Genomes to Determine Composition and Species Prevalence in Microbial Communities. PLoS ONE. 7(6). e36427–e36427. 37 indexed citations
15.
Fettweis, Jennifer M., Myrna G. Serrano, Nihar U. Sheth, et al.. (2012). Species-level classification of the vaginal microbiome. BMC Genomics. 13(S8). S17–S17. 146 indexed citations
16.
Manque, Patrício, et al.. (2010). Putative cis-Regulatory Elements Associated with Heat Shock Genes Activated During Excystation of Cryptosporidium parvum. PLoS ONE. 5(3). e9512–e9512. 6 indexed citations
17.
Sheth, Nihar U., et al.. (2006). Comprehensive splice-site analysis using comparative genomics. Nucleic Acids Research. 34(14). 3955–3967. 282 indexed citations
18.
Silva, José M., Mamie Z. Li, Ken C. N. Chang, et al.. (2005). Second-generation shRNA libraries covering the mouse and human genomes. Nature Genetics. 37(11). 1281–1288. 491 indexed citations
19.
Cleary, Michele A., K. Kilian, Yanqun Wang, et al.. (2004). Production of complex nucleic acid libraries using highly parallel in situ oligonucleotide synthesis. Nature Methods. 1(3). 241–248. 87 indexed citations
20.
Paddison, Patrick J., Michele A. Cleary, Kenneth Chang, et al.. (2004). Cloning of short hairpin RNAs for gene knockdown in mammalian cells. Nature Methods. 1(2). 163–167. 146 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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