Javier Campos

1.6k citations
53 papers · 1.0k · h-index 19

Impact in

Papers in

    • Vibrio bacteria research studies 32
    • Escherichia coli research studies 15
    • Aquaculture disease management and microbiota 15

Javier Campos

47 papers receiving 1.0k citations

Peers

Javier Campos
Comparison fields: 5 of 90
  • Endocrinology 427
  • Molecular Medicine 213
  • Immunology 246
  • Surfaces, Coatings and Films 67
  • Ecology 238
Replace Brett J. Pellock with:
Brett J. Pellock United States
Petya V. Krasteva France
Kim Lee Chua Singapore
Kamran Pooshang Bagheri Iran
Corinne Dorel France
Liqian Zhu China
Laura Hobley United Kingdom
Gary J. Sharples United Kingdom
Justin E. Silpe United States
Eva Brombacher Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Javier Campos

Since Specialization
Citations

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

Fields of papers citing papers by Javier Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Campos, 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 Campos Line = papers co-authored together Javier Campos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005110
2 201383
3 199972
4 201567
5 201566
6 200366
7 201464
8 201645
9 201640
10 200339
11 200133
12 200932
13 200830
14 201928
15
Genetic manipulation of Vibrio cholerae for vaccine development: construction of live attenuated El Tor candidate vaccine strains.
199628
16 200626
17 200022
18 201121
19 201118
20 201615

About Javier Campos

Javier Campos is a scholar working on Endocrinology, Immunology, Molecular Biology, Ecology and Molecular Medicine, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (32 papers), Escherichia coli research studies (15 papers), Aquaculture disease management and microbiota (15 papers), Bacteriophages and microbial interactions (12 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial Genetics and Biotechnology (7 papers), Bacterial biofilms and quorum sensing (5 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Endocrinology (427 citations), Molecular Medicine (213 citations), Immunology (246 citations), Surfaces, Coatings and Films (67 citations) and Ecology (238 citations). Javier Campos has collaborated with scholars based in Cuba, United States and Spain. Frequent co-authors include Eriel Martínez, Rafael Fando, Boris L. Rodrı́guez, Talena Ledón, Mohammad Saeed, Jun Chen, Veronika Kozlovskaya, Eugenia Kharlampieva, Karen Marrero and Edith Suzarte Portal. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Toxicon, Research in Microbiology and mBio.

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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