Jared T. Simpson

59.5k citations
32 papers · 7.3k indexed · 5 hit papers · h-index 20

Jared T. Simpson

31 papers receiving 7.2k citations

Hit Papers

Detecting DNA cytosine methylation using nano...655200920262014202050010001.5k2.0k2.5k

Peers

Jared T. Simpson
Comparison fields: 5 of 155
  • Molecular Biology 5.3k
  • Ecology 1.4k
  • Plant Science 1.7k
  • Genetics 1.1k
  • Endocrinology 195
Replace John Huddleston with:
John Huddleston United States
Raja Mazumder United States
Martin Shumway United States
Sitao Wu United States
Michael Smoot United States
Karen Clark United States
Scott Schwartz United States
Stephen W. Turner United States
Zhengwei Zhu China
Jared T. Simpson relative to John Huddleston United States John Huddleston's profile →
Citations per field
00.5×1.5×
John Huddleston · 1×
Citations per year

Countries citing papers authored by Jared T. Simpson

Since Specialization
Citations

This map shows the geographic impact of Jared T. Simpson'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 Jared T. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared T. Simpson more than expected).

Fields of papers citing papers by Jared T. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared T. Simpson. 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 Jared T. Simpson. The network helps show where Jared T. Simpson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jared T. Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jared T. Simpson Line = papers co-authored together Jared T. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20235
3 20231
4 202210
5 20229
6 20222
7 20218
8 2020122
9 202099
10 201983
11
Detecting DNA cytosine methylation using nanopore sequencingbreakdown →
2017655
12 201686
13 201610
14 201536
15
A complete bacterial genome assembled de novo using only nanopore sequencing databreakdown →
2015822
16 2014216
17
Efficient de novo assembly of large genomes using compressed data structuresbreakdown →
2011487
18 2011259
19 2011190
20
ABySS: A parallel assembler for short read sequence databreakdown →
20092603

About Jared T. Simpson

Jared T. Simpson is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Plant Science and Ecology, having authored 32 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Algorithms and Data Compression (4 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Ecology (1.4k citations), Plant Science (1.7k citations), Genetics (1.1k citations) and Endocrinology (195 citations). Jared T. Simpson has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Nicholas J. Loman, Shaun D. Jackman, Steven J.M. Jones, Kim Wong, İnanç Birol, Jacqueline E. Schein, Richard Durbin, Joshua Quick, Christopher Quince and Alan W. Walker. Their work appears in journals such as Nature Methods, Bioinformatics, Genome Research, Genome biology and JAMA Network Open.

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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