Thomas Keane

92.5k citations
83 papers · 11.4k indexed · 3 hit papers · h-index 37

Thomas Keane

78 papers receiving 11.3k citations

Hit Papers

HTSlib: C library fo...22020062026201220192.0k4.0k6.0k

Peers

Thomas Keane
Comparison fields: 5 of 184
  • Genetics 3.0k
  • Molecular Biology 6.3k
  • Plant Science 2.5k
  • Cancer Research 886
  • Endocrinology 277
Replace Huanming Yang with:
Huanming Yang China
James Bonfield United Kingdom
Maido Remm Estonia
Anton Nekrutenko United States
Ioana Cutcutache Singapore
Michèle Clamp United Kingdom
Shane McCarthy United Kingdom
Andreas Heger United Kingdom
Xiangyi Lu United States
Yingrui Li China
Thomas Keane relative to Huanming Yang China Huanming Yang's profile →
Citations per field
00.5×3.3×
Huanming Yang · 1×
Citations per year

Countries citing papers authored by Thomas Keane

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas Keane, 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 Thomas Keane Line = papers co-authored together Thomas Keane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 202230
5 202162
6
HTSlib: C library for reading/writing high-throughput sequencing databreakdown →
2021220
7 201978
8 20194
9 201860
10 201536
11 201444
12 201375
13 201219
14 201239
15 201075
16 2009107
17 20065
18 20033
19
Distributed Java platform with programmable MIMD capabilities
20036
20 197022

About Thomas Keane

Thomas Keane is a scholar working on Molecular Biology, Genetics and Virology, having authored 83 papers that have together received 11.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (32 papers), Chromosomal and Genetic Variations (17 papers), RNA and protein synthesis mechanisms (15 papers), CRISPR and Genetic Engineering (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Algorithms and Data Compression (7 papers), Cancer Genomics and Diagnostics (6 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Genetics (3.0k citations), Molecular Biology (6.3k citations) and Plant Science (2.5k citations). Thomas Keane has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Petr Danecek, Robert M. Davies, James Bonfield, Heng Li, John Marshall, Valeriu Ohan, Andrew Whitwham, Shane McCarthy, Martin Pollard and Jennifer Liddle. Their work appears in journals such as Genome biology, Bioinformatics, Nucleic Acids Research, PLoS Genetics and Nature Communications.

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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