Jay Ghurye
Impact in
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
Papers in
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- Genomics and Phylogenetic Studies 7
- Bioinformatics and Genomic Networks 3
- RNA and protein synthesis mechanisms 2
- Ecology 2
- Microbial Community Ecology and Physiology 2
- Co-authors
- Mihai Pop (10 shared papers)Sergey Koren (5 shared papers)Adam M. Phillippy (3 shared papers)Derek M. Bickhart (2 shared papers)Chen-Shan Chin (1 shared paper)Arang Rhie (2 shared papers)Anthony D. Schmitt (1 shared paper)Brian P. Walenz (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)BMC Genomics (2 papers)Bioinformatics (1 paper)Briefings in Bioinformatics (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Jay Ghurye
14 papers receiving 707 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 466
- Plant Science 234
- Genetics 163
- Ecology 121
- Insect Science 42
Countries citing papers authored by Jay Ghurye
This map shows the geographic impact of Jay Ghurye'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 Jay Ghurye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Ghurye more than expected).
Fields of papers citing papers by Jay Ghurye
This network shows the impact of papers produced by Jay Ghurye. 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 Jay Ghurye. The network helps show where Jay Ghurye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Ghurye, 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 | 2019 | 247 | |
| 2 | 2017 | 181 | |
| 3 | 2017 | 104 | |
| 4 | 2019 | 42 | |
| 5 | 2019 | 38 | |
| 6 | 2019 | 26 | |
| 7 | 2016 | 24 | |
| 8 | 2021 | 21 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 10 | |
| 11 | 2016 | 7 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 1 | |
| 14 | MetagenomeScope: Web-Based Hierarchical Visualization of Metagenome Assembly Graphs | 2017 | 1 |
About Jay Ghurye
Jay Ghurye is a scholar working on Molecular Biology, Ecology, Artificial Intelligence, Plant Science and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 720 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (3 papers), Chromosomal and Genetic Variations (2 papers), Microbial Community Ecology and Physiology (2 papers), Algorithms and Data Compression (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Molecular Biology (466 citations), Plant Science (234 citations), Genetics (163 citations), Ecology (121 citations) and Insect Science (42 citations). Jay Ghurye has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Mihai Pop, Sergey Koren, Adam M. Phillippy, Derek M. Bickhart, Chen-Shan Chin, Arang Rhie, Anthony D. Schmitt, Brian P. Walenz, Siddarth Selvaraj and Todd J. Treangen. Their work appears in journals such as PLoS Computational Biology, BMC Genomics, Bioinformatics, Briefings in Bioinformatics and Genome biology.
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.