Carmen Hidalgo-Tenorio
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 11
- HIV/AIDS drug development and treatment 10
- HIV/AIDS Research and Interventions 9
- Epidemiology top 5%
- Infective Endocarditis Diagnosis and Management 19
- Cervical Cancer and HPV Research 7
- Virology top 5%
- HIV Research and Treatment 8
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 8
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- Streptococcal Infections and Treatments 7
- Co-authors
- Javier de la TorreJuan Gálvez-AcebalFrancisco Javier Martínez‐MarcosAntonio PlataJosé Manuel LomasJ.M. RegueraJosefa Ruiz‐MoralesJ Jiménez-Alonso
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Carmen Hidalgo-Tenorio
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Infectious Diseases 475
- Epidemiology 780
- Virology 90
- Rheumatology 255
- Applied Microbiology and Biotechnology 32
Countries citing papers authored by Carmen Hidalgo-Tenorio
This map shows the geographic impact of Carmen Hidalgo-Tenorio'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 Carmen Hidalgo-Tenorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Hidalgo-Tenorio more than expected).
Fields of papers citing papers by Carmen Hidalgo-Tenorio
This network shows the impact of papers produced by Carmen Hidalgo-Tenorio. 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 Carmen Hidalgo-Tenorio. The network helps show where Carmen Hidalgo-Tenorio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carmen Hidalgo-Tenorio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 5 | |
| 2 | 2021 | 17 | |
| 3 | 2019 | 1 | |
| 4 | 2018 | 30 | |
| 5 | 2018 | 11 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 7 | |
| 10 | 2015 | 22 | |
| 11 | 2015 | 48 | |
| 12 | 2014 | 21 | |
| 13 | 2013 | 334 | |
| 14 | 2011 | 20 | |
| 15 | 2010 | 70 | |
| 16 | 2009 | 23 | |
| 17 | 2009 | 67 | |
| 18 | 2008 | 6 | |
| 19 | 2004 | 2 | |
| 20 | 2001 | 17 |
About Carmen Hidalgo-Tenorio
Carmen Hidalgo-Tenorio is a scholar working on Applied Microbiology and Biotechnology, Virology and Infectious Diseases, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (19 papers), Antimicrobial Resistance in Staphylococcus (11 papers), HIV/AIDS drug development and treatment (10 papers), HIV/AIDS Research and Interventions (9 papers), Systemic Lupus Erythematosus Research (8 papers), HIV Research and Treatment (8 papers), Streptococcal Infections and Treatments (7 papers) and Cervical Cancer and HPV Research (7 papers). The work is most often cited by research in Infectious Diseases (475 citations), Epidemiology (780 citations) and Virology (90 citations). Carmen Hidalgo-Tenorio has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Javier de la Torre, Juan Gálvez-Acebal, Francisco Javier Martínez‐Marcos, Antonio Plata, José Manuel Lomas, J.M. Reguera, Josefa Ruiz‐Morales, J Jiménez-Alonso, Emilio García-Cabrera and Mariam Noureddine. Their work appears in journals such as Circulation, PLoS ONE and Clinical 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.