Jay Ghurye

6.9k total citations
12 papers, 668 citations indexed

About

Jay Ghurye is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, Jay Ghurye has authored 12 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Artificial Intelligence. Recurrent topics in Jay Ghurye's work include Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (3 papers) and Microbial Community Ecology and Physiology (2 papers). Jay Ghurye is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (3 papers) and Microbial Community Ecology and Physiology (2 papers). Jay Ghurye collaborates with scholars based in United States, Australia and Germany. Jay Ghurye's co-authors include Mihai Pop, Sergey Koren, Adam M. Phillippy, Derek M. Bickhart, Chen-Shan Chin, Arang Rhie, Siddarth Selvaraj, Brian P. Walenz, Anthony D. Schmitt and Todd J. Treangen and has published in prestigious journals such as Bioinformatics, Genome biology and PLoS Computational Biology.

In The Last Decade

Jay Ghurye

12 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Ghurye United States	10	475	251	168	122	50	12	668
Lara Urban Germany	11	390 0.8×	168 0.7×	134 0.8×	177 1.5×	46 0.9×	26	640
Cécile Donnadieu France	11	305 0.6×	156 0.6×	111 0.7×	102 0.8×	59 1.2×	26	580
Arun S. Seetharam United States	19	576 1.2×	329 1.3×	222 1.3×	71 0.6×	74 1.5×	43	959
Anne Kupczok Germany	15	426 0.9×	242 1.0×	178 1.1×	346 2.8×	56 1.1×	40	867
Natalia Quinones‐Olvera United States	5	704 1.5×	271 1.1×	101 0.6×	185 1.5×	48 1.0×	8	998
Magali Naville France	16	910 1.9×	492 2.0×	347 2.1×	250 2.0×	31 0.6×	24	1.2k
Miraine Dávila Felipe France	2	223 0.5×	124 0.5×	77 0.5×	90 0.7×	76 1.5×	6	452
Thomas J. Buida United States	5	258 0.5×	133 0.5×	108 0.6×	126 1.0×	89 1.8×	6	491
David E. Harry United States	16	309 0.7×	340 1.4×	256 1.5×	57 0.5×	80 1.6×	27	661

Countries citing papers authored by Jay Ghurye

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jay Ghurye

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Ghurye. A scholar is included among the top collaborators of Jay Ghurye 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 Jay Ghurye. Jay Ghurye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Ghurye, Jay, et al.. (2021). A critical assessment of gene catalogs for metagenomic analysis. Bioinformatics. 37(18). 2848–2857. 14 indexed citations

Kulkarni, Prachi, Nathan D. Olson, Anthony Bui, et al.. (2020). Zero-Valent Iron Sand Filtration Can Reduce Human and Plant Pathogenic Bacteria While Increasing Plant Growth Promoting Bacteria in Reclaimed Water. Frontiers in Environmental Science. 8. 10 indexed citations

Ghurye, Jay, Sergey Koren, Scott T. Small, et al.. (2019). A chromosome-scale assembly of the major African malaria vector Anopheles funestus. GigaScience. 8(6). 38 indexed citations

Ghurye, Jay & Mihai Pop. (2019). Modern technologies and algorithms for scaffolding assembled genomes. PLoS Computational Biology. 15(6). e1006994–e1006994. 38 indexed citations

Ghurye, Jay, Arang Rhie, Brian P. Walenz, et al.. (2019). Integrating Hi-C links with assembly graphs for chromosome-scale assembly. PLoS Computational Biology. 15(8). e1007273–e1007273. 235 indexed citations

Ghurye, Jay, Todd J. Treangen, Marcus W. Fedarko, W. Judson Hervey, & Mihai Pop. (2019). MetaCarvel: linking assembly graph motifs to biological variants. Genome biology. 20(1). 174–174. 16 indexed citations

Liu, Ruijie, Wai Yee Low, Rick Tearle, et al.. (2019). New insights into mammalian sex chromosome structure and evolution using high-quality sequences from bovine X and Y chromosomes. BMC Genomics. 20(1). 1000–1000. 25 indexed citations

Ghurye, Jay, et al.. (2018). A Succinct Four Russians Speedup for Edit Distance Computation and One-against-many Banded Alignment. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

Ghurye, Jay, Mihai Pop, Sergey Koren, Derek M. Bickhart, & Chen-Shan Chin. (2017). Scaffolding of long read assemblies using long range contact information. BMC Genomics. 18(1). 527–527. 173 indexed citations

10.

Fedarko, Marcus W., et al.. (2017). MetagenomeScope: Web-Based Hierarchical Visualization of Metagenome Assembly Graphs. 1 indexed citations

11.

Olson, Nathan D., Todd J. Treangen, C. Hill, et al.. (2017). Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes. Briefings in Bioinformatics. 20(4). 1140–1150. 100 indexed citations

12.

Ghurye, Jay, Gautier Krings, & Vanessa Frías-Martínez. (2016). A Framework to Model Human Behavior at Large Scale during Natural Disasters. 18–27. 17 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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