Daniel Tena

46 papers receiving 775 citations

Peers

Daniel Tena
Comparison fields: 5 of 75
  • Endocrinology 204
  • Microbiology 27
  • Clinical Biochemistry 58
  • Molecular Medicine 71
  • Infectious Diseases 87
Replace Elmer W. Koneman with:
Elmer W. Koneman United States
A. von Graevenitz Switzerland
Kit-Wah Leung Hong Kong
Reinoud Cartuyvels Belgium
Jean-Pierre Gayral France
Kenneth E. Aldridge United States
Stefan A. Boers Netherlands
Steven D. Mahlen United States
E C Böttger Germany
Bülent Sümerkan Türkiye
Daniel Tena relative to Elmer W. Koneman United States Elmer W. Koneman's profile →
Citations per field
00.5×5×10×13.3×
Elmer W. Koneman · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200773
2 199861
3 200557
4 201446
5 200645
6 200841
7 201840
8 201637
9 200736
10 201036
11 201334
12 200928
13 200722
14 201522
15 200921
16 201319
17 201418
18 201418
19 201417
20 200816

About Daniel Tena

Daniel Tena is a scholar working on Endocrinology, Microbiology, Clinical Biochemistry, Epidemiology and Microbiology, having authored 49 papers that have together received 828 indexed citations. Recurring topics across this work include Infections and bacterial resistance (16 papers), Actinomycetales infections and treatment (5 papers), Urinary Tract Infections Management (5 papers), Streptococcal Infections and Treatments (5 papers), Orthopedic Infections and Treatments (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Surgical site infection prevention (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (204 citations), Microbiology (27 citations), Clinical Biochemistry (58 citations), Molecular Medicine (71 citations) and Infectious Diseases (87 citations). Daniel Tena has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Julia Bisquert, Alejandro González Praetorius, Juan Antonio Sáez-Nieto, María Teresa Pérez-Pomata, María José Medina-Pascual, Cristina Fernández Pérez, Nora Mariela Martínez, J. A. Sáez-Nieto, Sylvia Valdezate and Juan Bisquert. Their work appears in journals such as Scandinavian Journal of Infectious Diseases, Diagnostic Microbiology and Infectious Disease, Emerging infectious diseases, Clinical Infectious Diseases and International Journal of Infectious Diseases.

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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