Keylie M. Gibson

507 total citations
9 papers, 290 citations indexed

About

Keylie M. Gibson is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Keylie M. Gibson has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Virology and 3 papers in Infectious Diseases. Recurrent topics in Keylie M. Gibson's work include HIV Research and Treatment (5 papers), Gut microbiota and health (4 papers) and Genomics and Phylogenetic Studies (3 papers). Keylie M. Gibson is often cited by papers focused on HIV Research and Treatment (5 papers), Gut microbiota and health (4 papers) and Genomics and Phylogenetic Studies (3 papers). Keylie M. Gibson collaborates with scholars based in United States, Portugal and Japan. Keylie M. Gibson's co-authors include Keith A. Crandall, Michele A. Miller, Peter Buss, Laura Neumann, Budhan S. Pukazhenthi, Savel R. Daniels, Bryan Nguyen, Marcos Pérez‐Losada, M. Anwar Hossain and AMAM Zonaed Siddiki and has published in prestigious journals such as Scientific Reports, Molecular Biology and Evolution and Frontiers in Microbiology.

In The Last Decade

Keylie M. Gibson

9 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keylie M. Gibson United States	8	172	92	50	47	45	9	290
Baifen Song China	9	118 0.7×	87 0.9×	26 0.5×	34 0.7×	34 0.8×	44	297
Michela Corrò Italy	13	104 0.6×	100 1.1×	25 0.5×	41 0.9×	42 0.9×	34	316
David Lowe United States	10	134 0.8×	40 0.4×	19 0.4×	52 1.1×	73 1.6×	18	290
Kjersti Wik Larssen Norway	11	168 1.0×	230 2.5×	24 0.5×	25 0.5×	63 1.4×	16	358
Ángela Peña United States	9	225 1.3×	81 0.9×	94 1.9×	56 1.2×	44 1.0×	15	373
Lluís Aragonès Spain	8	187 1.1×	238 2.6×	24 0.5×	15 0.3×	94 2.1×	8	491
Karen Margrethe Pedersen Belgium	6	155 0.9×	48 0.5×	39 0.8×	28 0.6×	31 0.7×	6	363
Sam Nooij Netherlands	11	204 1.2×	289 3.1×	133 2.7×	13 0.3×	106 2.4×	16	507
Marijke Raymaekers Belgium	6	63 0.4×	55 0.6×	23 0.5×	25 0.5×	56 1.2×	11	297
Arkadiusz Bomba Poland	10	84 0.5×	74 0.8×	27 0.5×	75 1.6×	21 0.5×	24	261

Countries citing papers authored by Keylie M. Gibson

Since Specialization

Citations

This map shows the geographic impact of Keylie M. Gibson'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 Keylie M. Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keylie M. Gibson more than expected).

Fields of papers citing papers by Keylie M. Gibson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keylie M. Gibson. 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 Keylie M. Gibson. The network helps show where Keylie M. Gibson may publish in the future.

Co-authorship network of co-authors of Keylie M. Gibson

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Bendall, Matthew L., et al.. (2020). HAPHPIPE: Haplotype Reconstruction and Phylodynamics for Deep Sequencing of Intrahost Viral Populations. Molecular Biology and Evolution. 38(4). 1677–1690. 7 indexed citations

Gibson, Keylie M., et al.. (2020). Evaluation of haplotype callers for next-generation sequencing of viruses. Infection Genetics and Evolution. 82. 104277–104277. 25 indexed citations

Hoque, M. Nazmul, Arif Istiaq, Rebecca Clement, et al.. (2020). Insights Into the Resistome of Bovine Clinical Mastitis Microbiome, a Key Factor in Disease Complication. Frontiers in Microbiology. 11. 860–860. 72 indexed citations

Gibson, Keylie M., et al.. (2020). Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses. Viruses. 12(7). 758–758. 4 indexed citations

Gibson, Keylie M., et al.. (2020). Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data. Viruses. 12(5). 560–560. 45 indexed citations

Gibson, Keylie M., Seble Kassaye, Frank Maldarelli, et al.. (2019). A 28-Year History of HIV-1 Drug Resistance and Transmission in Washington, DC. Frontiers in Microbiology. 10. 369–369. 8 indexed citations

Gibson, Keylie M., Bryan Nguyen, Laura Neumann, et al.. (2019). Gut microbiome differences between wild and captive black rhinoceros – implications for rhino health. Scientific Reports. 9(1). 7570–7570. 91 indexed citations

Hourigan, Suchitra K., Keylie M. Gibson, Marcos Pérez‐Losada, et al.. (2019). Fecal Transplant in Children With Clostridioides difficile Gives Sustained Reduction in Antimicrobial Resistance and Potential Pathogen Burden. Open Forum Infectious Diseases. 6(10). ofz379–ofz379. 31 indexed citations

Hahn, Andrea, Matthew L. Bendall, Keylie M. Gibson, et al.. (2018). Benchmark Evaluation of True Single Molecular Sequencing to Determine Cystic Fibrosis Airway Microbiome Diversity. Frontiers in Microbiology. 9. 1069–1069. 7 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.

Explore authors with similar magnitude of impact