Matthew Jacobson
Impact in
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
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- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
Papers in
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- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 1
- RNA and protein synthesis mechanisms 1
- CRISPR and Genetic Engineering 1
- Genetics 3
- Genomics and Rare Diseases 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Nawar Malhis (2 shared papers)Jörg Gsponer (2 shared papers)Steven J.M. Jones (1 shared paper)Paul Pavlidis (4 shared papers)Manuel Belmadani (3 shared papers)Sanja Rogić (2 shared papers)Jordan Sicherman (1 shared paper)B. Ogan Mancarci (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Database (1 paper)Human Mutation (1 paper)Autism Research (1 paper)GigaScience (1 paper)
- Partner nations
- Canada
In The Last Decade
Matthew Jacobson
6 papers receiving 229 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 167
- Genetics 59
- Aging 3
- Cognitive Neuroscience 13
- Cell Biology 10
Countries citing papers authored by Matthew Jacobson
This map shows the geographic impact of Matthew Jacobson'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 Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Jacobson more than expected).
Fields of papers citing papers by Matthew Jacobson
This network shows the impact of papers produced by Matthew Jacobson. 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 Jacobson. The network helps show where Matthew Jacobson may publish in the future.
Co-authors
The 20 scholars most cited alongside Matthew Jacobson, 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 | 2016 | 114 | |
| 2 | 2020 | 63 | |
| 3 | 2021 | 26 | |
| 4 | 2019 | 22 | |
| 5 | 2018 | 7 | |
| 6 | 2016 | 1 |
About Matthew Jacobson
Matthew Jacobson is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Artificial Intelligence and Infectious Diseases, having authored 6 papers that have together received 233 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Gene expression and cancer classification (1 paper), RNA and protein synthesis mechanisms (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (167 citations), Genetics (59 citations), Aging (3 citations), Cognitive Neuroscience (13 citations) and Cell Biology (10 citations). Matthew Jacobson has collaborated with scholars based in Canada. Frequent co-authors include Nawar Malhis, Jörg Gsponer, Steven J.M. Jones, Paul Pavlidis, Manuel Belmadani, Sanja Rogić, Jordan Sicherman, B. Ogan Mancarci, Nathan M. Holmes and Nathaniel C. Lim. Their work appears in journals such as Nucleic Acids Research, Database, Human Mutation, Autism Research 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.