Daniel Tena

46 papers receiving 729 citations

Peers

Daniel Tena
Comparison fields: 5 of 105
  • Endocrinology 227
  • Microbiology 20
  • Molecular Medicine 82
  • Microbiology 50
  • Infectious Diseases 121
Replace Midori Ogawa with:
Midori Ogawa Japan
Ortrud Zimmermann Germany
Julianne V. Kus Canada
Daniel R. Hoogestraat United States
Jiru Xu United Kingdom
Reinoud Cartuyvels Belgium
Amanda Harrington United States
G Wauters Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Tena

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200770
2 199862
3 200552
4 201445
5 200643
6 201839
7 200838
8 201635
9 200734
10 201033
11 201331
12 200928
13 201521
14 200920
15 200719
16 201418
17 201417
18 201316
19 201416
20
Evolución del patrón de sensibilidad de Escherichia coli en infecciones del tracto urinario diagnosticadas en la comunidad durante el periodo 2003-2007: Estudio multicéntrico en Castilla la Mancha
201015

About Daniel Tena

Daniel Tena is a scholar working on Endocrinology, Epidemiology, Public Health, Environmental and Occupational Health, Surgery and Infectious Diseases, having authored 47 papers that have together received 775 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (11 papers), Infections and bacterial resistance (10 papers), Infective Endocarditis Diagnosis and Management (8 papers), Antibiotic Resistance in Bacteria (5 papers), Vibrio bacteria research studies (4 papers), Legionella and Acanthamoeba research (3 papers), Surgical site infection prevention (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Endocrinology (227 citations), Microbiology (20 citations), Molecular Medicine (82 citations), Microbiology (50 citations) and Infectious Diseases (121 citations). Daniel Tena has collaborated with scholars based in Spain, Mexico and Finland. Frequent co-authors include Julia Bisquert, Alejandro González‐Praetorius, Juan Antonio Sáez-Nieto, María Teresa Pérez-Pomata, María J. Medina-Pascual, Cristina Fernández, Marta Arias‐Guillén, J. A. Sáez-Nieto, Juan Bisquert and Nora Mariela Martínez. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Medical Microbiology, Journal of Clinical Microbiology, European Journal of Orthopaedic Surgery & Traumatology and International Journal of Advertising.

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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