M. C. Becerra
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Tuberculosis Research and Epidemiology 45
-
- Antibiotic Resistance in Bacteria 8
- Co-authors
- Inés AlbesaPaulina L. PáezCarole D. MitnickJaime BayonaJennifer FurinJ. C. ScaianoJ BayonaGerardo A. Argüello
- Journals
- The International Journal of Tuberculosis and Lung Disease (21 papers)Clinical Infectious Diseases (4 papers)RSC Advances (4 papers)Public Health Action (4 papers)Carbohydrate Polymers (2 papers)
- Partner nations
- United StatesArgentinaPeru
In The Last Decade
M. C. Becerra
86 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Infectious Diseases 1.2k
- Molecular Medicine 167
- Epidemiology 946
- Toxicology 48
- Endocrinology 56
Countries citing papers authored by M. C. Becerra
This map shows the geographic impact of M. C. Becerra'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 M. C. Becerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Becerra more than expected).
Fields of papers citing papers by M. C. Becerra
This network shows the impact of papers produced by M. C. Becerra. 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 M. C. Becerra. The network helps show where M. C. Becerra may publish in the future.
Co-authors
The 25 scholars most cited alongside M. C. Becerra, 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 | 2023 | 20 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 63 | |
| 9 | 2016 | 40 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 15 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 12 | |
| 14 | 2014 | 24 | |
| 15 | 2013 | 27 | |
| 16 | 2013 | 12 | |
| 17 | 2013 | 17 | |
| 18 | 2012 | 3 | |
| 19 | 2011 | 46 | |
| 20 | 2002 | 125 |
About M. C. Becerra
M. C. Becerra is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Pharmacology and Biological Psychiatry, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (45 papers), Pneumonia and Respiratory Infections (23 papers), Pneumocystis jirovecii pneumonia detection and treatment (20 papers), Mycobacterium research and diagnosis (12 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial biofilms and quorum sensing (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Infectious Diseases and Tuberculosis (7 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Molecular Medicine (167 citations), Epidemiology (946 citations), Toxicology (48 citations) and Endocrinology (56 citations). M. C. Becerra has collaborated with scholars based in United States, Argentina and Peru. Frequent co-authors include Inés Albesa, Paulina L. Páez, Carole D. Mitnick, Jaime Bayona, Jennifer Furin, J. C. Scaiano, J Bayona, Gerardo A. Argüello, Paul E. Farmer and Virginia Aiassa. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Clinical Infectious Diseases, RSC Advances, Public Health Action and Carbohydrate Polymers.
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.