Daniel Pablo‐Marcos

630 citations
12 papers · 44 · h-index 3

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 4
    • SARS-CoV-2 and COVID-19 Research 3
    • Antimicrobial Resistance in Staphylococcus 2
    • SARS-CoV-2 detection and testing 2
    • COVID-19 Clinical Research Studies 1

Daniel Pablo‐Marcos

10 papers receiving 42 citations

Peers

Daniel Pablo‐Marcos
Comparison fields: 5 of 19
  • Molecular Medicine 9
  • General Dentistry 1
  • Infectious Diseases 8
  • Clinical Biochemistry 2
  • Molecular Biology 19
Replace Katherine B. Malcolm with:
Katherine B. Malcolm United States
Ryan J. Hope United Kingdom
Chelston Ang United States
Lynn Tomsho United States
Sanjay Kumar Srikakulam Germany
Clara H. Radulescu United Kingdom
Ane Sorarrain Spain
Zane Straume Latvia
Anastasia Hernández-Koutoucheva United Kingdom
Philip Dykema United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Pablo‐Marcos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pablo‐Marcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202321
2 20226
3 20256
4 20212
5 20242
6 20242
7 20201
8
Primer caso descrito en España de infección por Wohlfahrtiimonas chitiniclastica
20191
9 20231
10 20221
11 20251
12 20230

About Daniel Pablo‐Marcos

Daniel Pablo‐Marcos is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Applied Microbiology and Biotechnology and Endocrinology, having authored 12 papers that have together received 44 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), SARS-CoV-2 detection and testing (2 papers), Biosensors and Analytical Detection (2 papers), CRISPR and Genetic Engineering (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Molecular Medicine (9 citations), General Dentistry (1 citation), Infectious Diseases (8 citations), Clinical Biochemistry (2 citations) and Molecular Biology (19 citations). Daniel Pablo‐Marcos has collaborated with scholars based in Spain. Frequent co-authors include Jorge Calvo, Concha Ortiz-Cartagena, Felipe Fernández-Cuenca, Sergio García Fernández, Belén Aracil, Inés Bleriot, Laura Fernández-García, María Tomás, Lucía Blasco and María Siller. Their work appears in journals such as International Journal of Antimicrobial Agents, Diagnostic Microbiology and Infectious Disease, Microbiology Spectrum, Frontiers in Microbiology and ACS Omega.

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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