Juan J. Camarena

1.8k total citations
23 papers, 604 citations indexed

About

Juan J. Camarena is a scholar working on Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology. According to data from OpenAlex, Juan J. Camarena has authored 23 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Infectious Diseases and 4 papers in Applied Microbiology and Biotechnology. Recurrent topics in Juan J. Camarena's work include Antifungal resistance and susceptibility (7 papers), Antibiotic Use and Resistance (4 papers) and Mycobacterium research and diagnosis (4 papers). Juan J. Camarena is often cited by papers focused on Antifungal resistance and susceptibility (7 papers), Antibiotic Use and Resistance (4 papers) and Mycobacterium research and diagnosis (4 papers). Juan J. Camarena collaborates with scholars based in Spain, United Kingdom and Portugal. Juan J. Camarena's co-authors include Rafael Zaragoza, Arturo Artero, Susana Sancho, Joseli Maria da Rocha Nogueira, José Miguel Nogueira, Antonio Olmos, Javier Pemán, Guillermo Quindós, Paula Ramírez and José Pontón and has published in prestigious journals such as Journal of Clinical Microbiology, Clinical Microbiology and Infection and The Pediatric Infectious Disease Journal.

In The Last Decade

Juan J. Camarena

22 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan J. Camarena Spain 11 380 244 137 103 94 23 604
C. Muller France 9 146 0.4× 188 0.8× 150 1.1× 94 0.9× 103 1.1× 10 523
A. Andremont France 7 192 0.5× 217 0.9× 77 0.6× 143 1.4× 43 0.5× 11 583
Cyrille Tancrède France 7 371 1.0× 177 0.7× 208 1.5× 187 1.8× 53 0.6× 7 724
Joseli Maria da Rocha Nogueira Brazil 10 217 0.6× 126 0.5× 108 0.8× 76 0.7× 80 0.9× 51 526
R. Finkelstein Israel 15 309 0.8× 262 1.1× 137 1.0× 74 0.7× 89 0.9× 34 834
Claudia Venturelli Italy 19 519 1.4× 315 1.3× 97 0.7× 70 0.7× 72 0.8× 36 885
Giovanni Gesu Italy 15 201 0.5× 213 0.9× 94 0.7× 83 0.8× 59 0.6× 33 576
Elisa García‐Vázquez Spain 13 332 0.9× 315 1.3× 117 0.9× 87 0.8× 72 0.8× 63 696
Victor Tucci United States 11 304 0.8× 570 2.3× 316 2.3× 97 0.9× 47 0.5× 12 879
Joseph R. Thurn United States 15 213 0.6× 223 0.9× 76 0.6× 75 0.7× 57 0.6× 31 658

Countries citing papers authored by Juan J. Camarena

Since Specialization
Citations

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

Fields of papers citing papers by Juan J. Camarena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan J. Camarena. 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 Juan J. Camarena. The network helps show where Juan J. Camarena may publish in the future.

Co-authorship network of co-authors of Juan J. Camarena

This figure shows the co-authorship network connecting the top 25 collaborators of Juan J. Camarena. A scholar is included among the top collaborators of Juan J. Camarena 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 Juan J. Camarena. Juan J. Camarena 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.
Camarena, Juan J., et al.. (2025). Impact of antibiotic treatment on hemolytic uremic syndrome risk in Escherichia coli O157 infections: a comprehensive systematic review and meta-analysis. European Journal of Clinical Microbiology & Infectious Diseases. 44(8). 1763–1778.
2.
Camarena, Juan J., et al.. (2022). Eumycetomas by Fusarium oxysporum and Madurella mycetomatis. Description of two cases and literature review. Revista Española de Quimioterapia. 35(6). 566–569. 3 indexed citations
3.
Albert, Eliseo, Juan Alberola, Juan J. Camarena, et al.. (2018). Missing Cases of Herpes Simplex Virus (HSV) Infection of the Central Nervous System When the Reller Criteria Are Applied for HSV PCR Testing: a Multicenter Study. Journal of Clinical Microbiology. 57(2). 9 indexed citations
4.
Tormo, Nuria, Eliseo Albert, Juan J. Camarena, et al.. (2018). A survey on practices for active surveillance of carriage of multidrug-resistant bacteria in hospitals in the Autonomous Community of Valencia, Spain. European Journal of Clinical Microbiology & Infectious Diseases. 37(11). 2069–2074. 4 indexed citations
5.
Muñoz, Eva, Juan J. Camarena, & Nieves Carbonell. (2017). Update on the management of intra-abdominal Candida infections. Revista Iberoamericana de Micología. 34(3). 127–129. 1 indexed citations
6.
Pemán, Javier, Rafael Cantón, Juan J. Camarena, et al.. (2016). Revista Iberoamericana de Micología. 1 indexed citations
7.
8.
Cantón, Rafael, Javier Pemán, Carmen Íñiguez, et al.. (2013). Epidemiological Cutoff Values for Fluconazole, Itraconazole, Posaconazole, and Voriconazole for Six Candida Species as Determined by the Colorimetric Sensititre YeastOne Method. Journal of Clinical Microbiology. 51(8). 2691–2695. 34 indexed citations
9.
Sancho, Susana, Arturo Artero, Rafael Zaragoza, et al.. (2011). Impact of nosocomial polymicrobial bloodstream infections on the outcome in critically ill patients. European Journal of Clinical Microbiology & Infectious Diseases. 31(8). 1791–1796. 39 indexed citations
10.
Pemán, Javier, Rafael Zaragoza, Guillermo Quindós, et al.. (2011). Clinical factors associated with a Candida albicansGerm Tube Antibody positive test in Intensive Care Unit patients. BMC Infectious Diseases. 11(1). 60–60. 36 indexed citations
11.
Artero, Arturo, et al.. (2010). Prognostic factors of mortality in patients with community-acquired bloodstream infection with severe sepsis and septic shock. Journal of Critical Care. 25(2). 276–281. 140 indexed citations
12.
Zaragoza, Rafael, Javier Pemán, Guillermo Quindós, et al.. (2009). Clinical significance of the detection of Candida albicans germ tube-specific antibodies in critically ill patients. Clinical Microbiology and Infection. 15(6). 592–595. 34 indexed citations
13.
Zaragoza, Rafael, et al.. (2003). The influence of inadequate empirical antimicrobial treatment on patients with bloodstream infections in an intensive care unit. Clinical Microbiology and Infection. 9(5). 412–418. 164 indexed citations
14.
15.
Franco, José Sergio, et al.. (2001). Serological response (Western blot) to fractions of Mycobacterium tuberculosis sonicate antigen in tuberculosis patients and contacts.. PubMed. 5(10). 958–62. 8 indexed citations
16.
Camarena, Juan J., et al.. (1998). [Tuberculosis in AIDS patients: the contribution of an analysis of the restriction fragment length polymorphism of Mycobacterium tuberculosis isolates].. PubMed. 111(19). 721–4. 7 indexed citations
17.
18.
Camarena, Juan J., et al.. (1995). DNA Amplification Fingerprinting for Subtyping Neisseria gonorrhoeae Strains. Sexually Transmitted Diseases. 22(2). 128–128. 15 indexed citations
19.
Nogueira, Joseli Maria da Rocha, et al.. (1992). Use of genomic fingerprinting in the characterization ofNeisseria gonorrhoeae isolated in Valencia, Spain. European Journal of Clinical Microbiology & Infectious Diseases. 11(9). 804–809. 3 indexed citations
20.
Nogueira, Joseli Maria da Rocha, et al.. (1992). Genomic fingerprinting of penicillinase-producing strains of Neisseria gonorrhoeae in Valencia, Spain.. Sexually Transmitted Infections. 68(3). 170–173. 3 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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