Debora Rubio-Aparicio
- Molecular Medicine top 0.5%
- Pharmacology top 1%
- Epidemiology top 10%
- Applied Microbiology and Biotechnology top 0.5%
- Molecular Biology
- Co-authors
- Kirk NelsonDongxu SunMichael N. DudleyOlga LomovskayaRuslan TsivkovskiDavid C. GriffithMaxim TotrovMichael Dudley
- Topics
- Antibiotic Resistance in Bacteria (20 papers)Pharmaceutical and Antibiotic Environmental Impacts (9 papers)Antibiotics Pharmacokinetics and Efficacy (8 papers)
- Journals
- Journal of Medicinal ChemistryAntimicrobial Agents and ChemotherapyInternational Journal of Antimicrobial Agents
- Partner nations
- United StatesThailand
In The Last Decade
Debora Rubio-Aparicio
20 papers receiving 990 citations
Peers
Comparison fields: 5 of 57
- Molecular Medicine 939
- Pharmacology 600
- Epidemiology 297
- Applied Microbiology and Biotechnology 238
- Molecular Biology 182
Countries citing papers authored by Debora Rubio-Aparicio
This map shows the geographic impact of Debora Rubio-Aparicio'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 Debora Rubio-Aparicio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Rubio-Aparicio more than expected).
Fields of papers citing papers by Debora Rubio-Aparicio
This network shows the impact of papers produced by Debora Rubio-Aparicio. 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 Debora Rubio-Aparicio. The network helps show where Debora Rubio-Aparicio may publish in the future.
Co-authorship network of co-authors of Debora Rubio-Aparicio
This figure shows the co-authorship network connecting the top 25 collaborators of Debora Rubio-Aparicio. A scholar is included among the top collaborators of Debora Rubio-Aparicio 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 Debora Rubio-Aparicio. Debora Rubio-Aparicio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 29 | |
| 3 | 18 | |
| 4 | 21 | |
| 5 | 37 | |
| 6 | 158 | |
| 7 | 36 | |
| 8 | 18 | |
| 9 | 43 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 137 | |
| 14 | 137 | |
| 15 | 6 | |
| 16 | 36 | |
| 17 | 41 | |
| 18 | 278 | |
| 19 | 4 | |
| 20 | 3 |
About Debora Rubio-Aparicio
Debora Rubio-Aparicio is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pollution, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers) and Antibiotics Pharmacokinetics and Efficacy (8 papers). The work is most often cited by research in Molecular Medicine (939 citations), Applied Microbiology and Biotechnology (238 citations) and Pharmacology (600 citations). Debora Rubio-Aparicio has collaborated with scholars based in United States and Thailand. Frequent co-authors include Kirk Nelson, Dongxu Sun, Michael N. Dudley, Olga Lomovskaya, Ruslan Tsivkovski, David C. Griffith, Olga Lomovskaya, Maxim Totrov, Michael Dudley and Mojgan Sabet. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy and International Journal of Antimicrobial Agents.
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.