Jared C. Roach

10.1k total citations · 2 hit papers
60 papers, 4.5k citations indexed

About

Jared C. Roach is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jared C. Roach has authored 60 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Jared C. Roach's work include Genomics and Phylogenetic Studies (11 papers), Genomics and Rare Diseases (7 papers) and Genetic Associations and Epidemiology (7 papers). Jared C. Roach is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Genomics and Rare Diseases (7 papers) and Genetic Associations and Epidemiology (7 papers). Jared C. Roach collaborates with scholars based in United States, Canada and Netherlands. Jared C. Roach's 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 and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jared C. Roach

60 papers receiving 4.4k citations

Hit Papers

The evolution of vertebrate Toll-like receptors 2005 2026 2012 2019 2005 2010 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jared C. Roach United States 29 1.9k 1.5k 1.2k 561 452 60 4.5k
Anthony T. Papenfuss Australia 45 3.5k 1.8× 1.8k 1.2× 1.2k 1.0× 401 0.7× 321 0.7× 158 7.2k
François Rougeon France 36 4.0k 2.0× 1.2k 0.8× 1.1k 0.9× 418 0.7× 363 0.8× 109 6.4k
Todd Wylie United States 29 1.7k 0.9× 977 0.7× 546 0.4× 466 0.8× 410 0.9× 54 4.2k
Youichi Suzuki Japan 25 2.4k 1.2× 1.2k 0.8× 828 0.7× 696 1.2× 491 1.1× 78 5.9k
Jerzy K. Kulski Australia 37 1.4k 0.7× 2.9k 2.0× 874 0.7× 1.0k 1.8× 241 0.5× 186 5.6k
Gordon D. Brown United Kingdom 32 3.8k 1.9× 1.7k 1.1× 1.0k 0.8× 807 1.4× 777 1.7× 52 6.4k
Philippe Herbomel France 39 3.5k 1.8× 3.5k 2.4× 845 0.7× 485 0.9× 528 1.2× 65 7.9k
Karsten Hokamp Ireland 35 2.6k 1.3× 710 0.5× 867 0.7× 517 0.9× 486 1.1× 82 5.0k
Steven R. Head United States 44 3.9k 2.0× 1.2k 0.8× 632 0.5× 650 1.2× 274 0.6× 116 6.2k
Kumao Toyoshima Japan 43 5.1k 2.6× 2.4k 1.7× 1.3k 1.1× 815 1.5× 438 1.0× 128 10.0k

Countries citing papers authored by Jared C. Roach

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jared C. Roach

This figure shows the co-authorship network connecting the top 25 collaborators of Jared C. Roach. A scholar is included among the top collaborators of Jared C. Roach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jared C. Roach. Jared C. Roach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Chunyu, Luis Mendoza, Shaopeng Liu, et al.. (2023). ARAX: a graph-based modular reasoning tool for translational biomedicine. Bioinformatics. 39(3). 3 indexed citations
2.
Ma, Chunyu, Yodsawalai Chodpathumwan, Jared C. Roach, et al.. (2022). RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine. BMC Bioinformatics. 23(1). 400–400. 16 indexed citations
3.
Hasin, Naushaba, Lace M. Riggs, Tatyana Shekhtman, et al.. (2022). Rare variants implicate NMDA receptor signaling and cerebellar gene networks in risk for bipolar disorder. Molecular Psychiatry. 27(9). 3842–3856. 5 indexed citations
4.
Roach, Jared C., Junko Hara, Jennifer C. Lovejoy, et al.. (2022). The Coaching for Cognition in Alzheimer's (COCOA) trial: Study design. Alzheimer s & Dementia Translational Research & Clinical Interventions. 8(1). e12318–e12318. 6 indexed citations
5.
Hasin, Naushaba, Lace M. Riggs, Tatyana Shekhtman, et al.. (2021). 41. A RARE VARIANT IN D-AMINO ACID OXIDASE IMPLICATES NMDA RECEPTOR SIGNALING AND CEREBELLAR GENE NETWORKS IN RISK FOR BIPOLAR DISORDER. European Neuropsychopharmacology. 51. e63–e63. 1 indexed citations
6.
Hou, Liping, Rachel L. Kember, Jared C. Roach, et al.. (2017). A population-specific reference panel empowers genetic studies of Anabaptist populations. Scientific Reports. 7(1). 6079–6079. 9 indexed citations
7.
Hu, Hao, Nayia Petousi, Gustavo Glusman, et al.. (2017). Evolutionary history of Tibetans inferred from whole-genome sequencing. PLoS Genetics. 13(4). e1006675–e1006675. 78 indexed citations
8.
Goldmann, Jakob M., Wendy S.W. Wong, Michele Pinelli, et al.. (2016). Parent-of-origin-specific signatures of de novo mutations. Nature Genetics. 48(8). 935–939. 196 indexed citations
9.
Stittrich, Anna, J. R. Ashworth, Mude Shi, et al.. (2016). Genomic architecture of inflammatory bowel disease in five families with multiple affected individuals. Human Genome Variation. 3(1). 15060–15060. 11 indexed citations
10.
Lee, Jong‐Min, Kyung‐Hee Kim, Aram Shin, et al.. (2015). Sequence-Level Analysis of the Major European Huntington Disease Haplotype. The American Journal of Human Genetics. 97(3). 435–444. 17 indexed citations
11.
Li, Hong, Gustavo Glusman, Hao Hu, et al.. (2014). Relationship Estimation from Whole-Genome Sequence Data. PLoS Genetics. 10(1). e1004144–e1004144. 54 indexed citations
12.
Higdon, Roger, Elizabeth Stewart, Jared C. Roach, et al.. (2013). Predictive Analytics In Healthcare: Medications as a Predictor of Medical Complexity. Big Data. 1(4). 237–244. 12 indexed citations
13.
Dunigan, David D., Ronald L. Cerny, Andrew T. Bauman, et al.. (2012). Paramecium bursaria Chlorella Virus 1 Proteome Reveals Novel Architectural and Regulatory Features of a Giant Virus. Journal of Virology. 86(16). 8821–8834. 59 indexed citations
14.
Roach, Jared C., Gustavo Glusman, Arian F. A. Smit, et al.. (2010). Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing. Science. 328(5978). 636–639. 722 indexed citations breakdown →
15.
Stolovitzky, Gustavo, Anshul Kundaje, G. A. Held, et al.. (2005). Statistical analysis of MPSS measurements: Application to the study of LPS-activated macrophage gene expression. Proceedings of the National Academy of Sciences. 102(5). 1402–1407. 38 indexed citations
16.
Hubley, Robert, Eckart Zitzler, & Jared C. Roach. (2003). Evolutionary algorithms for the selection of single nucleotide polymorphisms. BMC Bioinformatics. 4(1). 30–30. 19 indexed citations
17.
Glusman, Gustavo, Lee Rowen, Inyoul Lee, et al.. (2001). Comparative Genomics of the Human and Mouse T Cell Receptor Loci. Immunity. 15(3). 337–349. 141 indexed citations
18.
Roach, Jared C., Vésteinn Thórsson, & Andrew F. Siegel. (2000). Parking Strategies for Genome Sequencing. Genome Research. 10(7). 1020–1030. 11 indexed citations
19.
Siegel, Andrew F., Barbara J. Trask, Jared C. Roach, et al.. (1999). Analysis of Sequence-Tagged-Connector Strategies for DNA Sequencing. Genome Research. 9(3). 297–307. 15 indexed citations
20.
Roach, Jared C.. (1995). Random subcloning.. Genome Research. 5(5). 464–473. 20 indexed citations

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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