Maria A. Miteva
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Microbial Natural Products and Biosynthesis
Papers in
-
- Computational Drug Discovery Methods 58
-
- Protein Structure and Dynamics 23
- Co-authors
- Bruno O. Villoutreix (70 shared papers)David Lagorce (26 shared papers)Olivier Spérandio (26 shared papers)Pierre Tufféry (8 shared papers)Matthieu Montès (7 shared papers)Virginie Y. Martiny (7 shared papers)Frédéric Guyon (1 shared paper)Céline M. Labbé (7 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Drug Discovery Today (8 papers)Scientific Reports (7 papers)PLoS ONE (5 papers)Journal of Cutaneous Pathology (4 papers)
- Partner nations
- FranceUnited StatesBulgaria
In The Last Decade
Maria A. Miteva
141 papers receiving 5.7k citations
Maria A. Miteva's Hit Papers
Peers
Comparison fields: 5 of 151
- Computational Theory and Mathematics 2.1k
- Pharmacology 461
- Molecular Biology 3.3k
- Toxicology 118
- Pharmacology 507
Countries citing papers authored by Maria A. Miteva
This map shows the geographic impact of Maria A. Miteva'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 Maria A. Miteva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria A. Miteva more than expected).
Fields of papers citing papers by Maria A. Miteva
This network shows the impact of papers produced by Maria A. Miteva. 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 Maria A. Miteva. The network helps show where Maria A. Miteva may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria A. Miteva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FAF-Drugs4: free ADME-tox filtering computations for chemical biology and early stages drug discovery Hit paper breakdown → | 2017 | 272 |
| 2 | 2007 | 260 | |
| 3 | 2011 | 252 | |
| 4 | 2010 | 250 | |
| 5 | 2008 | 240 | |
| 6 | 2015 | 239 | |
| 7 | 2010 | 221 | |
| 8 | 2015 | 212 | |
| 9 | 2017 | 192 | |
| 10 | 2021 | 155 | |
| 11 | 2012 | 127 | |
| 12 | 2006 | 119 | |
| 13 | 2008 | 110 | |
| 14 | 2009 | 104 | |
| 15 | 1999 | 103 | |
| 16 | 2006 | 92 | |
| 17 | 2005 | 91 | |
| 18 | 2014 | 91 | |
| 19 | 2007 | 89 | |
| 20 | 2007 | 88 |
About Maria A. Miteva
Maria A. Miteva is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Pharmacology and Dermatology, having authored 144 papers that have together received 5.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (58 papers), Protein Structure and Dynamics (23 papers), Pharmacogenetics and Drug Metabolism (17 papers), Microbial Natural Products and Biosynthesis (14 papers), Analytical Chemistry and Chromatography (9 papers), Click Chemistry and Applications (9 papers), Enzyme Structure and Function (9 papers) and Drug Transport and Resistance Mechanisms (8 papers). The work is most often cited by research in Computational Theory and Mathematics (2.1k citations), Pharmacology (461 citations), Molecular Biology (3.3k citations), Toxicology (118 citations) and Pharmacology (507 citations). Maria A. Miteva has collaborated with scholars based in France, United States and Bulgaria. Frequent co-authors include Bruno O. Villoutreix, David Lagorce, Olivier Spérandio, Pierre Tufféry, Matthieu Montès, Virginie Y. Martiny, Frédéric Guyon, Céline M. Labbé, Gautier Moroy and Philippe Vayer. Their work appears in journals such as Nucleic Acids Research, Drug Discovery Today, Scientific Reports, PLoS ONE and Journal of Cutaneous Pathology.
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.