Matthew Aguirre
- Genetics top 5%
- Genetic Associations and Epidemiology 8
- Genomics and Rare Diseases 4
- Genetic and phenotypic traits in livestock 3
- Obstetrics and Gynecology top 10%
-
- Bioinformatics and Genomic Networks 6
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 1
- Gene Regulatory Network Analysis 1
-
- Liver Disease Diagnosis and Treatment 1
- Co-authors
- Manuel A. RivasYosuke TanigawaJamie L. MarshallMark FlehartyAndrew KirbyKristin ArdlieStephane E. CastelTuuli Lappalainen
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Matthew Aguirre
18 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 488
- Biological Psychiatry 24
- Obstetrics and Gynecology 49
- Infectious Diseases 104
- Molecular Biology 381
Countries citing papers authored by Matthew Aguirre
This map shows the geographic impact of Matthew Aguirre'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 Matthew Aguirre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Aguirre more than expected).
Fields of papers citing papers by Matthew Aguirre
This network shows the impact of papers produced by Matthew Aguirre. 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 Matthew Aguirre. The network helps show where Matthew Aguirre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Aguirre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 67 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 28 | |
| 11 | 2019 | 39 | |
| 12 | 2019 | 40 | |
| 13 | 2019 | 79 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 44 | |
| 16 | Landscape of X chromosome inactivation across human tissuesbreakdown → | 2017 | 665 |
| 17 | 2013 | 1 | |
| 18 | Boosting performance of weak MT engines automatically: using MT output to align segments & build statistical post-editors | 2008 | 1 |
About Matthew Aguirre
Matthew Aguirre is a scholar working on Genetics, Molecular Biology and Safety, Risk, Reliability and Quality, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Bioinformatics and Genomic Networks (6 papers), Genomics and Rare Diseases (4 papers), Genetic and phenotypic traits in livestock (3 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Genetics (488 citations), Biological Psychiatry (24 citations) and Obstetrics and Gynecology (49 citations). Matthew Aguirre has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Manuel A. Rivas, Yosuke Tanigawa, Jamie L. Marshall, Mark Fleharty, Andrew Kirby, Kristin Ardlie, Stephane E. Castel, Tuuli Lappalainen, François Aguet and Taru Tukiainen. Their work appears in journals such as Nature, Nature Communications and Bioinformatics.
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.