Ana Reniero
- Infectious Diseases top 2%
- Epidemiology top 5%
- Surgery top 10%
- Molecular Biology
- Immunology
- Co-authors
- Sven HoffnerF BoulahbalChristopher DyeNancy BinkinR. WilliamsSang‐Jae KimHans L. RiederLone Simonsen
- Topics
- Tuberculosis Research and Epidemiology (13 papers)Mycobacterium research and diagnosis (10 papers)Infectious Diseases and Tuberculosis (5 papers)
- Journals
- New England Journal of MedicineThe Journal of Infectious DiseasesInternational Journal of Infectious Diseases
- Partner nations
- ArgentinaGuadeloupeSouth Korea
In The Last Decade
Ana Reniero
14 papers receiving 714 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 700
- Epidemiology 597
- Surgery 316
- Molecular Biology 74
- Immunology 51
Countries citing papers authored by Ana Reniero
This map shows the geographic impact of Ana Reniero'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 Ana Reniero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Reniero more than expected).
Fields of papers citing papers by Ana Reniero
This network shows the impact of papers produced by Ana Reniero. 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 Ana Reniero. The network helps show where Ana Reniero may publish in the future.
Co-authorship network of co-authors of Ana Reniero
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Reniero. A scholar is included among the top collaborators of Ana Reniero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ana Reniero. Ana Reniero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | Comparative molecular study of Mycobacterium tuberculosis strains, in times of antimicrobial drug resistance. | 3 |
| 6 | 8 | |
| 7 | [Study of Mycobacterium bovis in milk using bacteriological methods and the polymerase chain reaction]. | 10 |
| 8 | [False-positive cultures due to cross contamination in tuberculosis laboratories]. | 1 |
| 9 | Global Trends in Resistance to Antituberculosis Drugsbreakdown → | 519 |
| 10 | Anti-tuberculosis Drug Resistance in the World: Report no. 2: Prevalence and Trends | 38 |
| 11 | 136 | |
| 12 | Hospital transmission of multidrug-resistant Mycobacterium tuberculosis in Rosario, Argentina. | 19 |
| 13 | 1 | |
| 14 | 21 |
About Ana Reniero
Ana Reniero is a scholar working on Infectious Diseases, Epidemiology and Small Animals, having authored 14 papers that have together received 776 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (10 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (700 citations), Epidemiology (597 citations) and Surgery (316 citations). Ana Reniero has collaborated with scholars based in Argentina, Guadeloupe and South Korea. Frequent co-authors include Sven Hoffner, F Boulahbal, Christopher Dye, Nancy Binkin, R. Williams, Sang‐Jae Kim, Hans L. Rieder, Lone Simonsen, A László and Marcos Espinal. Their work appears in journals such as New England Journal of Medicine, The Journal of Infectious Diseases and International Journal of 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.