John D. Gillece

4.1k total citations
36 papers, 1.4k citations indexed

About

John D. Gillece is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, John D. Gillece has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Infectious Diseases. Recurrent topics in John D. Gillece's work include Gut microbiota and health (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Cancer Research and Treatments (4 papers). John D. Gillece is often cited by papers focused on Gut microbiota and health (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Cancer Research and Treatments (4 papers). John D. Gillece collaborates with scholars based in United States, Brazil and Denmark. John D. Gillece's co-authors include James M. Schupp, Paul Keim, David M. Engelthaler, Jason W. Sahl, Elizabeth M. Driebe, Lauren Reining, Sarah K. Highlander, Talima Pearson, Megan Folkerts and David M. Wagner and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

John D. Gillece

31 papers receiving 1.4k citations

Peers

John D. Gillece
S. H. Hinrichs United States
Martin Handfield United States
Kevin M. Mason United States
M. Costas Spain
Augusto A. Franco United States
Roshan Padmanabhan United States
John D. Gillece
Citations per year, relative to John D. Gillece John D. Gillece (= 1×) peers Dongsheng Han

Countries citing papers authored by John D. Gillece

Since Specialization
Citations

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

Fields of papers citing papers by John D. Gillece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Gillece. 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 John D. Gillece. The network helps show where John D. Gillece may publish in the future.

Co-authorship network of co-authors of John D. Gillece

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Gillece. A scholar is included among the top collaborators of John D. Gillece 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 John D. Gillece. John D. Gillece 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.
Laine, Christopher G., Dzeufiet Djomeni Paul Désiré, Wilfred Fon Mbacham, et al.. (2025). Prevalence study in Cameroon identifies Brucella abortus as the endemic Brucella species in livestock. Nature Communications. 16(1). 11600–11600.
3.
Videvall, Elin, Jeffrey T. Foster, Matthew C. I. Medeiros, et al.. (2024). The Role of Geography, Diet, and Host Phylogeny on the Gut Microbiome in the Hawaiian Honeycreeper Radiation. Ecology and Evolution. 14(10). e70372–e70372. 1 indexed citations
4.
Williamson, Charles H. D., John D. Gillece, David O’Callaghan, et al.. (2023). Comparison of Brucella abortus population structure based on genotyping methods with different levels of resolution. Journal of Microbiological Methods. 211. 106772–106772. 4 indexed citations
5.
Parise, Katy L., Tina L. Cheng, Joseph R. Hoyt, et al.. (2023). White-nose syndrome restructures bat skin microbiomes. Microbiology Spectrum. 11(6). e0271523–e0271523. 7 indexed citations
6.
Liu, Yanjun, Jui Tu, Zhipeng Fang, et al.. (2023). CYP8B1 downregulation mediates the metabolic effects of vertical sleeve gastrectomy in mice. Hepatology. 79(5). 1005–1018. 8 indexed citations
7.
Highlander, Sarah K., Jason M. Wood, John D. Gillece, et al.. (2023). Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition. PLoS ONE. 18(3). e0282428–e0282428. 4 indexed citations
8.
Wong, Chi Wah, Susan E. Yost, Jin Sun Lee, et al.. (2021). Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study. Frontiers in Oncology. 11. 604584–604584. 20 indexed citations
9.
Salgia, Nicholas, Paulo Gustavo Bergerot, Manuel Caitano Maia, et al.. (2020). Stool Microbiome Profiling of Patients with Metastatic Renal Cell Carcinoma Receiving Anti–PD-1 Immune Checkpoint Inhibitors. European Urology. 78(4). 498–502. 148 indexed citations
10.
Williamson, Charles H. D., Nathan E. Stone, Heidie Hornstra, et al.. (2019). A global to local genomics analysis of Clostridioides difficile ST1/RT027 identifies cryptic transmission events in a northern Arizona healthcare network. Microbial Genomics. 5(7). 6 indexed citations
11.
Muller, Emilie, Shaman Narayanasamy, Cédric C. Laczny, et al.. (2017). First draft genome sequence of a strain belonging to the Zoogloea genus and its gene expression in situ. Standards in Genomic Sciences. 12(1). 64–64. 9 indexed citations
12.
Sahl, Jason W., Talima Pearson, Richard T. Okinaka, et al.. (2016). A Bacillus anthracis Genome Sequence from the Sverdlovsk 1979 Autopsy Specimens. mBio. 7(5). 59 indexed citations
13.
Stone, Nathan E., Lindsay C. Sidak‐Loftis, Jason W. Sahl, et al.. (2016). More than 50% of Clostridium difficile Isolates from Pet Dogs in Flagstaff, USA, Carry Toxigenic Genotypes. PLoS ONE. 11(10). e0164504–e0164504. 61 indexed citations
14.
Sahl, Jason W., Darrin Lemmer, Jason Travis, et al.. (2016). NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats. Microbial Genomics. 2(8). e000074–e000074. 197 indexed citations
15.
Driebe, Elizabeth M., Jason W. Sahl, Chandler C. Roe, et al.. (2015). Using Whole Genome Analysis to Examine Recombination across Diverse Sequence Types of Staphylococcus aureus. PLoS ONE. 10(7). e0130955–e0130955. 35 indexed citations
16.
Heintz‐Buschart, Anna, Emilie Muller, Patrick May, et al.. (2015). Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks. npj Biofilms and Microbiomes. 1(1). 15007–15007. 71 indexed citations
17.
Kelley, Erin, Elizabeth M. Driebe, Kizee A. Etienne, et al.. (2014). Real-time PCR assays for genotyping of Cryptococcus gattii in North America. BMC Microbiology. 14(1). 125–125. 3 indexed citations
18.
Sahl, Jason W., John D. Gillece, James M. Schupp, et al.. (2013). Evolution of a Pathogen: A Comparative Genomics Analysis Identifies a Genetic Pathway to Pathogenesis in Acinetobacter. PLoS ONE. 8(1). e54287–e54287. 92 indexed citations
19.
Etienne, Kizee A., John D. Gillece, Rebecca E. Colman, et al.. (2012). Whole Genome Sequence Typing to Investigate the Apophysomyces Outbreak following a Tornado in Joplin, Missouri, 2011. PLoS ONE. 7(11). e49989–e49989. 47 indexed citations
20.
Gillece, John D., James M. Schupp, S. Arunmozhi Balajee, et al.. (2011). Whole Genome Sequence Analysis of Cryptococcus gattii from the Pacific Northwest Reveals Unexpected Diversity. PLoS ONE. 6(12). e28550–e28550. 55 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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