Jason Seto

1.4k total citations
32 papers, 1.1k citations indexed

About

Jason Seto is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jason Seto has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 15 papers in Molecular Biology and 14 papers in Infectious Diseases. Recurrent topics in Jason Seto's work include Virus-based gene therapy research (17 papers), Viral gastroenteritis research and epidemiology (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Jason Seto is often cited by papers focused on Virus-based gene therapy research (17 papers), Viral gastroenteritis research and epidemiology (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Jason Seto collaborates with scholars based in United States, Canada and China. Jason Seto's co-authors include Donald Seto, James Chodosh, Morris S. Jones, Michael P. Walsh, Wenbo Xu, Shoaleh Dehghan, David W. Dyer, Wenhua Liu, Li Chen and Miklós Tóth and has published in prestigious journals such as Nucleic Acids Research, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jason Seto

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Seto United States 16 716 533 405 262 86 32 1.1k
Danica L. Lerner United States 15 253 0.4× 340 0.6× 235 0.6× 387 1.5× 36 0.4× 21 1.0k
Jennifer A. Corcoran Canada 18 233 0.3× 445 0.8× 234 0.6× 215 0.8× 54 0.6× 31 853
Simon Langer Germany 19 495 0.7× 298 0.6× 173 0.4× 109 0.4× 25 0.3× 35 1.4k
Duane Brumm United States 10 150 0.2× 259 0.5× 165 0.4× 185 0.7× 17 0.2× 10 656
Nieves Villanueva Spain 22 273 0.4× 447 0.8× 364 0.9× 666 2.5× 219 2.5× 31 1.4k
M. Fernández de Marco United Kingdom 19 105 0.1× 237 0.4× 224 0.6× 50 0.2× 12 0.1× 23 830
A. Moerman United States 18 125 0.2× 253 0.5× 148 0.4× 349 1.3× 10 0.1× 39 1.0k
H. Imrich Germany 12 250 0.3× 263 0.5× 198 0.5× 155 0.6× 79 0.9× 18 1.3k
Vidya Shankar United States 10 116 0.2× 188 0.4× 168 0.4× 225 0.9× 20 0.2× 22 668
Raquel Bello‐Morales Spain 16 46 0.1× 347 0.7× 183 0.5× 202 0.8× 17 0.2× 36 711

Countries citing papers authored by Jason Seto

Since Specialization
Citations

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

Fields of papers citing papers by Jason Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Seto

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Seto. A scholar is included among the top collaborators of Jason Seto 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 Jason Seto. Jason Seto 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.
2.
Seto, Jason, et al.. (2024). The Impact of a Commensality Intervention on Physician Burnout. PubMed. 83(12). 322–326.
3.
Seto, Jason, James W. Davis, & Deborah A. Taira. (2018). Examining the Association Between Different Aspects of Socioeconomic Status, Race, and Disability in Hawaii. Journal of Racial and Ethnic Health Disparities. 5(6). 1247–1253. 6 indexed citations
4.
Seto, Jason, James W. Davis, & Deborah A. Taira. (2016). E-cigarette Use Related to Demographic Factors in Hawai'i.. PubMed. 75(10). 295–302. 9 indexed citations
5.
Zhao, Suhui, Chengsong Wan, Changwen Ke, et al.. (2014). Re-emergent Human Adenovirus Genome Type 7d Caused an Acute Respiratory Disease Outbreak in Southern China After a Twenty-one Year Absence. Scientific Reports. 4(1). 7365–7365. 64 indexed citations
6.
Dehghan, Shoaleh, Jason Seto, Morris S. Jones, et al.. (2013). Simian adenovirus type 35 has a recombinant genome comprising human and simian adenovirus sequences, which predicts its potential emergence as a human respiratory pathogen. Virology. 447(1-2). 265–273. 22 indexed citations
7.
Dehghan, Shoaleh, Jason Seto, Michael P. Walsh, et al.. (2013). Computational analysis of four human adenovirus type 4 genomes reveals molecular evolution through two interspecies recombination events. Virology. 443(2). 197–207. 60 indexed citations
8.
Wadford, Debra A., Jason Seto, Nolan Ryan Hudson, et al.. (2012). Computational and Serologic Analysis of Novel and Known Viruses in Species Human Adenovirus D in Which Serology and Genomics Do Not Correlate. PLoS ONE. 7(3). e33212–e33212. 30 indexed citations
9.
Seto, Jason, Michael P. Walsh, David Metzgar, & Donald Seto. (2010). Computational analysis of adenovirus serotype 5 (HAdV-C5) from an HAdV coinfection shows genome stability after 45 years of circulation. Virology. 404(2). 180–186. 14 indexed citations
10.
Walsh, Michael P., Jason Seto, James Chodosh, et al.. (2010). Computational analysis of human adenovirus serotype 18. Virology. 404(2). 284–292. 8 indexed citations
11.
Mahadevan, Padmanabhan, Jason Seto, Clark Tibbetts, & Donald Seto. (2009). Natural variants of human adenovirus type 3 provide evidence for relative genome stability across time and geographic space. Virology. 397(1). 113–118. 23 indexed citations
12.
Seto, Jason, Michael P. Walsh, Padmanabhan Mahadevan, et al.. (2009). Genomic and bioinformatics analyses of HAdV-14p, reference strain of a re-emerging respiratory pathogen and analysis of B1/B2. Virus Research. 143(1). 94–105. 16 indexed citations
13.
Rowen, Lee, Eleanor Williams, Gustavo Glusman, et al.. (2005). Interchromosomal Segmental Duplications Explain the Unusual Structure of PRSS3, the Gene for an Inhibitor-Resistant Trypsinogen. Molecular Biology and Evolution. 22(8). 1712–1720. 26 indexed citations
14.
Chen, Li, et al.. (2003). The fragile x mental retardation protein binds and regulates a novel class of mRNAs containing u rich target sequences. Neuroscience. 120(4). 1005–1017. 129 indexed citations
15.
Ng, Wailap Victor, Stacy Ciufo, T. M. F. Smith, et al.. (1998). Snapshot of a Large Dynamic Replicon in a Halophilic Archaeon: Megaplasmid or Minichromosome?. Genome Research. 8(11). 1131–1141. 80 indexed citations
16.
Westaway, David, Arian F. A. Smit, Kai Wang, et al.. (1998). Complete Genomic Sequence and Analysis of the Prion Protein Gene Region from Three Mammalian Species. Genome Research. 8(10). 1022–1037. 142 indexed citations
17.
Seto, Jason, et al.. (1995). Rapid purification of fluorescent dye-labeled products in a 96-well format for high-throughput automated DNA sequencing. Nucleic Acids Research. 23(23). 4930–4931. 12 indexed citations
18.
Seto, Donald, Jason Seto, Purnima Deshpande, & L Hood. (1995). DMSO resolves certain compressions and signal dropouts in fluorescent dye labeled primer-based DNA sequencing reactions. DNA sequence. 5(3). 131–140. 9 indexed citations
19.
Seto, Donald, Ben F. Koop, Purnima Deshpande, et al.. (1994). Organization, Sequence, and Function of 34.5 kb of Genomic DNA Encompassing Several Murine T-Cell Receptor α/δ Variable Gene Segments. Genomics. 20(2). 258–266. 10 indexed citations
20.
Koop, Ben F., et al.. (1992). Complete nucleotide sequence of the cosmid vector pWE15A. Nucleic Acids Research. 20(14). 3786–3786. 1 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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