Jared C. Roach
- Immunology top 2%
- Microbiology top 1%
- Genetics top 1%
- Genomics and Rare Diseases 7
- Genetic Associations and Epidemiology 7
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 5
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 11
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 5
- Molecular Biology Techniques and Applications 5
- Bioinformatics and Genomic Networks 5
- Co-authors
- Leroy HoodGustavo GlusmanLee RowenAlan AderemKelly D. SmithMaureen K. PurcellAmardeep KaurArian F. A. Smit
- Cited by
- ImmunologyMicrobiologyGenetics
- Journals
- PLoS Computational Biology (5 papers)The American Journal of Human Genetics (4 papers)Alzheimer s & Dementia Translational Research & Clinical Interventions (3 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Jared C. Roach
60 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Immunology 1.5k
- Microbiology 293
- Genetics 1.2k
- Cancer Research 448
- Molecular Biology 1.9k
Countries citing papers authored by Jared C. Roach
This map shows the geographic impact of Jared C. Roach'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 C. Roach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared C. Roach more than expected).
Fields of papers citing papers by Jared C. Roach
This network shows the impact of papers produced by Jared C. Roach. 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 C. Roach. The network helps show where Jared C. Roach may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jared C. Roach, 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 | 2023 | 3 | |
| 2 | 2022 | 16 | |
| 3 | 2022 | 5 | |
| 4 | 2017 | 9 | |
| 5 | 2016 | 196 | |
| 6 | 2015 | 17 | |
| 7 | 2015 | 15 | |
| 8 | 2014 | 54 | |
| 9 | 2014 | 36 | |
| 10 | 2014 | 136 | |
| 11 | 2014 | 50 | |
| 12 | 2013 | 12 | |
| 13 | Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencingbreakdown → | 2010 | 722 |
| 14 | 2009 | 150 | |
| 15 | 2008 | 416 | |
| 16 | 2003 | 19 | |
| 17 | 2000 | 11 | |
| 18 | 1999 | 15 | |
| 19 | 1998 | 6 | |
| 20 | 1995 | 20 |
About Jared C. Roach
Jared C. Roach is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 60 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Genomics and Rare Diseases (7 papers), Genetic Associations and Epidemiology (7 papers), RNA and protein synthesis mechanisms (6 papers), Cancer Genomics and Diagnostics (5 papers), Genomics and Chromatin Dynamics (5 papers), Molecular Biology Techniques and Applications (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Immunology (1.5k citations), Microbiology (293 citations) and Genetics (1.2k citations). Jared C. Roach has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Leroy Hood, Gustavo Glusman, Lee Rowen, Alan Aderem, Kelly D. Smith, Maureen K. Purcell, Amardeep Kaur, Arian F. A. Smit, Robert Hubley and Chad D. Huff. Their work appears in journals such as PLoS Computational Biology, The American Journal of Human Genetics, Alzheimer s & Dementia Translational Research & Clinical Interventions, Proceedings of the National Academy of Sciences and PLoS Genetics.
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.