Daniel Tena

45 papers receiving 701 citations

Peers

Daniel Tena
Comparison fields: 5 of 106
  • Endocrinology 239
  • Microbiology 21
  • Molecular Medicine 95
  • Microbiology 54
  • Infectious Diseases 132
Replace Robert Fader with:
Robert Fader United States
P. De Micco France
Midori Ogawa Japan
Daniel R. Hoogestraat United States
H. Malnick United Kingdom
Kit-Wah Leung Hong Kong
Tarah Lynch Canada
Mark A. Fisher United States
Sara Hull United States
A. von Graevenitz Switzerland
Daniel Tena relative to Robert Fader United States Robert Fader's profile →
Citations per field
00.5×1.5×2.2×
Robert Fader · 1×
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 200766
2 199862
3 200550
4 201445
5 200640
6 201837
7 200836
8 201634
9 200733
10 201030
11 201329
12 200927
13 200719
14 201519
15 201418
16 200916
17 201415
18
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
19 201314
20 201414

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 735 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (12 papers), Infections and bacterial resistance (10 papers), Infective Endocarditis Diagnosis and Management (8 papers), Antibiotic Resistance in Bacteria (6 papers), Vibrio bacteria research studies (4 papers), Surgical site infection prevention (3 papers), Urinary Tract Infections Management (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Endocrinology (239 citations), Microbiology (21 citations), Molecular Medicine (95 citations), Microbiology (54 citations) and Infectious Diseases (132 citations). Daniel Tena has collaborated with scholars based in Spain, Mexico and Finland. Frequent co-authors include Julia Bisquert, Alejandro González‐Praetorius, María Teresa Pérez-Pomata, Juan Antonio Sáez-Nieto, María J. Medina-Pascual, Cristina Fernández, Juan Bisquert, Marta Arias‐Guillén, J. A. Sáez-Nieto and Nora Mariela Martínez. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Clinical Infectious Diseases, European Journal of Orthopaedic Surgery & Traumatology, International Journal of Advertising and Journal of Clinical 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.

Explore authors with similar magnitude of impact