Shane McCarthy

103.7k citations
52 papers · 9.1k indexed · 4 hit papers · h-index 19

Shane McCarthy

47 papers receiving 9.0k citations

Hit Papers

YaHS: yet another Hi-C scaffoldin...26520162026201920222.0k4.0k6.0k

Peers

Shane McCarthy
Comparison fields: 5 of 178
  • Genetics 2.9k
  • Molecular Biology 4.5k
  • Plant Science 1.9k
  • Cancer Research 675
  • Endocrinology 214
Replace Thomas Keane with:
Thomas Keane United Kingdom
Robert M. Davies United Kingdom
James Bonfield United Kingdom
Xiangyi Lu United States
Andrew Whitwham United Kingdom
Douglas M. Ruden United States
Valeriu Ohan United Kingdom
Martin Pollard United States
Andreas Untergasser Germany
Luan Wang China
Shane McCarthy relative to Thomas Keane United Kingdom Thomas Keane's profile →
Citations per field
00.5×1.5×
Thomas Keane · 1×
Citations per year

Countries citing papers authored by Shane McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Shane McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20245
4 20242
5 20241
6 20244
7 20232
8 20239
9
YaHS: yet another Hi-C scaffolding toolbreakdown →
2022265
10 202223
11 202157
12
Identifying and removing haplotypic duplication in primary genome assembliesbreakdown →
2020636
13 202018
14 201818
15 2017255
16 201618
17 201219
18 201292
19 200530
20 200410

About Shane McCarthy

Shane McCarthy is a scholar working on Health Informatics, Genetics and Radiation, having authored 52 papers that have together received 9.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Advanced Radiotherapy Techniques (4 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (4 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Genetics (2.9k citations), Molecular Biology (4.5k citations) and Plant Science (1.9k citations). Shane McCarthy has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Petr Danecek, James Bonfield, Thomas Keane, Martin Pollard, John Marshall, Valeriu Ohan, Robert M. Davies, Heng Li, Jennifer Liddle and Andrew Whitwham. Their work appears in journals such as Bioinformatics, Annals of Oncology, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Genome biology and GigaScience.

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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