Dion Antonopoulos

754 total citations
8 papers, 347 citations indexed

About

Dion Antonopoulos is a scholar working on Molecular Biology, Surgery and Food Science. According to data from OpenAlex, Dion Antonopoulos has authored 8 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Food Science. Recurrent topics in Dion Antonopoulos's work include Gut microbiota and health (5 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Probiotics and Fermented Foods (2 papers). Dion Antonopoulos is often cited by papers focused on Gut microbiota and health (5 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Probiotics and Fermented Foods (2 papers). Dion Antonopoulos collaborates with scholars based in United States, Israel and United Kingdom. Dion Antonopoulos's co-authors include Abdelghani Sghir, Roderick I. Mackie, Eugene B. Chang, Elizabeth M. Glass, Folker Meyer, Narayan Desai, Jack A. Gilbert, Thomas M. Schmidt, Mitchell L. Sogin and Qiong Wang and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Current Opinion in Biotechnology.

In The Last Decade

Dion Antonopoulos

8 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dion Antonopoulos United States 7 228 80 61 48 46 8 347
Kaiyi Zhang Germany 10 158 0.7× 110 1.4× 46 0.8× 24 0.5× 29 0.6× 16 385
Lino Mayorga-Reyes Mexico 10 147 0.6× 134 1.7× 88 1.4× 30 0.6× 40 0.9× 29 308
Elizabeth A. Rettedal New Zealand 12 384 1.7× 118 1.5× 37 0.6× 110 2.3× 37 0.8× 14 542
Andrew Van Brunt United States 2 359 1.6× 154 1.9× 81 1.3× 62 1.3× 18 0.4× 3 482
Aleksandr A. Arzamasov United States 10 264 1.2× 119 1.5× 125 2.0× 40 0.8× 24 0.5× 17 413
Jenna I. Wurster United States 9 241 1.1× 141 1.8× 43 0.7× 59 1.2× 15 0.3× 14 424
Zhaobin Wang China 13 143 0.6× 92 1.1× 56 0.9× 49 1.0× 53 1.2× 25 444
Silvia Balzaretti Italy 9 202 0.9× 155 1.9× 97 1.6× 24 0.5× 20 0.4× 10 324
Mérilie Gagnon Canada 9 224 1.0× 169 2.1× 72 1.2× 39 0.8× 13 0.3× 16 342
Tanja Šuligoj United Kingdom 8 173 0.8× 95 1.2× 143 2.3× 24 0.5× 20 0.4× 15 420

Countries citing papers authored by Dion Antonopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Dion Antonopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dion Antonopoulos. 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 Dion Antonopoulos. The network helps show where Dion Antonopoulos may publish in the future.

Co-authorship network of co-authors of Dion Antonopoulos

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

All Works

8 of 8 papers shown
1.
Corridoni, Daniele, Alexander Rodriguez‐Palacios, Luca Di Martino, et al.. (2016). Genetic deletion of the bacterial sensor NOD2 improves murine Crohn's disease-like ileitis independent of functional dysbiosis. Mucosal Immunology. 10(4). 971–982. 21 indexed citations
2.
Vital, Marius, C. Ryan Penton, Qiong Wang, et al.. (2013). A gene-targeted approach to investigate the intestinal butyrate-producing bacterialcommunity. Microbiome. 1(1). 8–8. 126 indexed citations
3.
Desai, Narayan, Dion Antonopoulos, Jack A. Gilbert, Elizabeth M. Glass, & Folker Meyer. (2012). From genomics to metagenomics. Current Opinion in Biotechnology. 23(1). 72–76. 55 indexed citations
4.
Devkota, Suzanne, Yunwei Wang, Vanessa Leone, et al.. (2012). Dietary fat‐induced taurocholic acid production promotes pathobiont and colitis in IL‐10−/− mice. The FASEB Journal. 26(S1). 19 indexed citations
5.
Devkota, Suzanne, Vanessa Leone, Yunwei Wang, et al.. (2012). Omega‐3 supplementation prevents intestinal inflammation by inhibiting the expansion of an intestinal pathobiont in IL10−/− mice. The FASEB Journal. 26(S1). 1 indexed citations
6.
Shestopalov, Valery I., Dion Antonopoulos, Darlene Miller, et al.. (2010). Metagenomic Analysis of Bacterial Community at the Human Conjunctiva. Investigative Ophthalmology & Visual Science. 51(13). 2409–2409. 6 indexed citations
7.
Rincón, Marco T., Bareket Dassa, Harry J. Flint, et al.. (2010). Abundance and Diversity of Dockerin-Containing Proteins in the Fiber-Degrading Rumen Bacterium, Ruminococcus flavefaciens FD-1. PLoS ONE. 5(8). e12476–e12476. 63 indexed citations
8.
Sghir, Abdelghani, Dion Antonopoulos, & Roderick I. Mackie. (1998). Design and Evaluation of a Lactobacillus Group-specific Ribosomal RNA-targeted Hybridization Probe and its Application to the Study of Intestinal Microecology in Pigs. Systematic and Applied Microbiology. 21(2). 291–296. 56 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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