Pilar Ramón-Pardo
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- Antibiotic Use and Resistance 14
- Microbiology top 0.5%
- Reproductive tract infections research 6
- Bacterial Infections and Vaccines 5
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 8
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 3
- Endocrinology top 5%
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- Syphilis Diagnosis and Treatment 5
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- Bacterial Identification and Susceptibility Testing 5
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- Mosquito-borne diseases and control 3
- Co-authors
- Teodora WiMonica M LahraMagnus UnemoFrancis NdowaGail BolanJo‐Anne R. DillonSergey EreminManju Bala
- Partner nations
- United StatesArgentinaSwitzerland
In The Last Decade
Pilar Ramón-Pardo
34 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Applied Microbiology and Biotechnology 240
- Microbiology 633
- Molecular Medicine 224
- Infectious Diseases 406
- Endocrinology 84
Countries citing papers authored by Pilar Ramón-Pardo
This map shows the geographic impact of Pilar Ramón-Pardo'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 Pilar Ramón-Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar Ramón-Pardo more than expected).
Fields of papers citing papers by Pilar Ramón-Pardo
This network shows the impact of papers produced by Pilar Ramón-Pardo. 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 Pilar Ramón-Pardo. The network helps show where Pilar Ramón-Pardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pilar Ramón-Pardo, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 21 | |
| 7 | 2022 | 10 | |
| 8 | Antibiotics and antimicrobial resistance in the COVID-19 era: Perspective from resource-limited settingsbreakdown → | 2021 | 176 |
| 9 | 2021 | 151 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 34 | |
| 14 | Antimicrobial resistance in Neisseria gonorrhoeae: Global surveillance and a call for international collaborative actionbreakdown → | 2017 | 410 |
| 15 | 2016 | 173 | |
| 16 | 2013 | 61 | |
| 17 | 2011 | 2 | |
| 18 | 2011 | 90 | |
| 19 | 2011 | 23 | |
| 20 | Scaling up collaborative TB-HIV activities in Latin America. | 2008 | 6 |
About Pilar Ramón-Pardo
Pilar Ramón-Pardo is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Microbiology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (14 papers), Antibiotic Resistance in Bacteria (8 papers), Reproductive tract infections research (6 papers), Syphilis Diagnosis and Treatment (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Bacterial Infections and Vaccines (5 papers), Mosquito-borne diseases and control (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (240 citations), Microbiology (633 citations) and Molecular Medicine (224 citations). Pilar Ramón-Pardo has collaborated with scholars based in United States, Argentina and Switzerland. Frequent co-authors include Teodora Wi, Monica M Lahra, Magnus Unemo, Francis Ndowa, Gail Bolan, Jo‐Anne R. Dillon, Sergey Eremin, Manju Bala, J. Erin Staples and Sergio Yactayo. Their work appears in journals such as PLoS ONE, The Lancet Microbe, Sexually Transmitted Diseases, One Health and PLoS Medicine.
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.