Antonio Doblas

689 citations
9 papers · 412 · h-index 6

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 4
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Mycobacterium research and diagnosis 3
    • Cytomegalovirus and herpesvirus research 1

Antonio Doblas

8 papers receiving 399 citations

Peers

Antonio Doblas
Comparison fields: 5 of 45
  • Infectious Diseases 308
  • Transplantation 34
  • Epidemiology 358
  • Surgery 198
  • Applied Microbiology and Biotechnology 4
Replace Pearlie P. Chong with:
Pearlie P. Chong United States
Lara Danziger‐Isakov United States
Irma Hoyo Spain
Lois Keyes United States
Julián Torre-Cisneros Spain
Robina Aerts Belgium
Rachel Friedman‐Moraco United States
Amelia S. Petry United States
Dina Leth Møller Denmark
Suay Hong Gan Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Antonio Doblas

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Doblas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2009198
2 2009178
3 20129
4 20099
5 20098
6 20225
7 20104
8 20111
9 20230

About Antonio Doblas

Antonio Doblas is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 412 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Mycobacterium research and diagnosis (3 papers), Infectious Diseases and Tuberculosis (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Nosocomial Infections in ICU (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Infectious Diseases (308 citations), Transplantation (34 citations), Epidemiology (358 citations), Surgery (198 citations) and Applied Microbiology and Biotechnology (4 citations). Antonio Doblas has collaborated with scholars based in Spain and United States. Frequent co-authors include Patricia Muñóz, José María Aguado, Jesús Fortün, Julián Torre‐Cisneros, Natividad Benito, Yolanda Meije, Mercè Gurguí, Marino Blanes, Óscar Len and Jordi Carratalà. Their work appears in journals such as Clinical Infectious Diseases, BMJ Open, Medicine - Programa de Formación Médica Continuada Acreditado, The Journal of Rheumatology and Medicina Clínica.

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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