Katyna Borroto–Esoda
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Hepatology top 0.2%
- Virology top 1%
- Molecular Biology
- Co-authors
- Patrick MarcellinMichael D. MillerSarah ArterburnDavid AnguloSeng Gee LimTing‐Tsung ChangSteven L. ChuckStephanos J. Hadziyannis
- Topics
- Hepatitis C virus research (33 papers)Hepatitis B Virus Studies (30 papers)HIV/AIDS drug development and treatment (29 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Katyna Borroto–Esoda
91 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Epidemiology 3.2k
- Infectious Diseases 2.2k
- Hepatology 2.1k
- Virology 557
- Molecular Biology 353
Countries citing papers authored by Katyna Borroto–Esoda
This map shows the geographic impact of Katyna Borroto–Esoda'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 Katyna Borroto–Esoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katyna Borroto–Esoda more than expected).
Fields of papers citing papers by Katyna Borroto–Esoda
This network shows the impact of papers produced by Katyna Borroto–Esoda. 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 Katyna Borroto–Esoda. The network helps show where Katyna Borroto–Esoda may publish in the future.
Co-authorship network of co-authors of Katyna Borroto–Esoda
This figure shows the co-authorship network connecting the top 25 collaborators of Katyna Borroto–Esoda. A scholar is included among the top collaborators of Katyna Borroto–Esoda 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 Katyna Borroto–Esoda. Katyna Borroto–Esoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | A phase 2a clinical trial of molnupiravir in patients with COVID-19 shows accelerated SARS-CoV-2 RNA clearance and elimination of infectious virusbreakdown → | 230 |
| 3 | 4 | |
| 4 | 40 | |
| 5 | The Emerging Pathogen Candida auris: Growth Phenotype, Virulence Factors, Activity of Antifungals, and Effect of SCY-078, a Novel Glucan Synthesis Inhibitor, on Growth Morphology and Biofilm Formationbreakdown → | 316 |
| 6 | 17 | |
| 7 | 205 | |
| 8 | 19 | |
| 9 | 20 | |
| 10 | 20 | |
| 11 | 115 | |
| 12 | 2 | |
| 13 | 54 | |
| 14 | 6 | |
| 15 | 27 | |
| 16 | 30 | |
| 17 | 56 | |
| 18 | 20 | |
| 19 | Long-term Therapy With Adefovir Dipivoxil for HBeAg-Negative Chronic Hepatitis B for up to 5 Yearsbreakdown → | 703 |
| 20 | 5 |
About Katyna Borroto–Esoda
Katyna Borroto–Esoda is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 91 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (33 papers), Hepatitis B Virus Studies (30 papers) and HIV/AIDS drug development and treatment (29 papers). The work is most often cited by research in Hepatology (2.1k citations), Infectious Diseases (2.2k citations) and Virology (557 citations). Katyna Borroto–Esoda has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Patrick Marcellin, Michael D. Miller, Sarah Arterburn, David Angulo, Seng Gee Lim, Ting‐Tsung Chang, Steven L. Chuck, Stephanos J. Hadziyannis, Carol Brosgart and Florence Myrick. Their work appears in journals such as Bioinformatics, Gastroenterology and Hepatology.
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.