Arantxa Valdivia

509 citations
7 papers · 264 indexed · h-index 5

Impact in

Papers in

Arantxa Valdivia

6 papers receiving 261 citations

Peers

Arantxa Valdivia
Comparison fields: 5 of 37
  • Infectious Diseases 239
  • Biomedical Engineering 120
  • Applied Microbiology and Biotechnology 4
  • Modeling and Simulation 8
  • Radiology, Nuclear Medicine and Imaging 33
Replace Felipe Bueno with:
Felipe Bueno Spain
Diego García-Martínez de Artola Spain
Yutaro Kitagawa Japan
Edman T. K. Lam China
Nieves Gonzalo-Jiménez Spain
Kazuhiro Hosaka Japan
Masahiro Shibusawa Japan
Hitomi Sueki Japan
Makoto Maejima Japan
Lukas E. Brümmer Germany
Arantxa Valdivia relative to Felipe Bueno Spain Felipe Bueno's profile →
Citations per field
00.5×1.5×
Felipe Bueno · 1×
Citations per year

Countries citing papers authored by Arantxa Valdivia

Since Specialization
Citations

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

Fields of papers citing papers by Arantxa Valdivia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Arantxa Valdivia, 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 Arantxa Valdivia Line = papers co-authored together Arantxa Valdivia links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20221
2 20216
3 202129
4 2020208
5 202011
6 20208
7
[Indirect ultramicroELISA for the detection of total adenovirus antibodies in human serum].
19941

About Arantxa Valdivia

Arantxa Valdivia is a scholar working on Infectious Diseases, Molecular Medicine, Clinical Biochemistry, Biomedical Engineering and Genetics, having authored 7 papers that have together received 264 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (5 papers), Biosensors and Analytical Detection (4 papers), Urinary Tract Infections Management (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Antibiotic Resistance in Bacteria (1 paper), COVID-19 Clinical Research Studies (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (239 citations), Biomedical Engineering (120 citations), Applied Microbiology and Biotechnology (4 citations), Modeling and Simulation (8 citations) and Radiology, Nuclear Medicine and Imaging (33 citations). Arantxa Valdivia has collaborated with scholars based in Spain and Cuba. Frequent co-authors include Ignacio Torres, David Navarro, Eliseo Albert, Javier Colomina, Josep Ferrer, Dixie Huntley, Felipe Bueno, Mireia Martínez, Sandrine Poujois and Lorena Forqué. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Journal of Medical Virology, Scientific Reports, Clinical Microbiology and Infection and PubMed.

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

Rankless by CCL
2026