Javier Dubert

26 papers receiving 802 citations

Javier Dubert's Hit Papers

Phage–host coevolution in natural populations 2022 · 134 citations
1340+1+2Years since publication4080120

Peers

Javier Dubert
Comparison fields: 5 of 72
  • Endocrinology 289
  • Immunology 288
  • Ecology 362
  • Aquatic Science 68
  • Global and Planetary Change 167
Replace Carolin C. Wendling with:
Carolin C. Wendling Germany
Maxime Bruto France
Ana L. Diéguez Spain
Patrick Le Chevalier France
Johan Binesse France
Juan Feng China
Clifford E. Starliper United States
John T. Singer United States
Cédric Le Bris France
Bruce A. Curtis Canada
Javier Dubert relative to Carolin C. Wendling Germany Carolin C. Wendling's profile →
Citations per field
00.5×2.8×
Carolin C. Wendling · 1×
Citations per year

Countries citing papers authored by Javier Dubert

Since Specialization
Citations

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

Fields of papers citing papers by Javier Dubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Dubert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Dubert Line = papers co-authored together Javier Dubert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phage–host coevolution in natural populations
Hit paper breakdown →
2022134
2 2021123
3 2017118
4 196076
5 201343
6 201539
7 201631
8 201531
9 201429
10 201325
11 201522
12 201421
13 201920
14 201713
15 201612
16 201612
17 202311
18 20209
19 20158
20 20168

About Javier Dubert

Javier Dubert is a scholar working on Endocrinology, Immunology, Molecular Biology, Global and Planetary Change and Ecology, having authored 28 papers that have together received 814 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (21 papers), Aquaculture disease management and microbiota (19 papers), Marine Bivalve and Aquaculture Studies (9 papers), Identification and Quantification in Food (6 papers), Genomics and Phylogenetic Studies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Bacteriophages and microbial interactions (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Endocrinology (289 citations), Immunology (288 citations), Ecology (362 citations), Aquatic Science (68 citations) and Global and Planetary Change (167 citations). Javier Dubert has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Juan L. Barja, Jesús L. Romalde, Susana Prado, David L. Nanney, Kathryn M. Kauffman, Frédérique Le Roux, Fatima A. Hussain, Fiz da Costa, Bruno K. Rodiño‐Janeiro and Martin F. Polz. Their work appears in journals such as Systematic and Applied Microbiology, Journal of Invertebrate Pathology, Journal of Fish Diseases, Microbial Ecology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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