Irina Massova
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.2%
- Oncology top 2%
- Organic Chemistry top 2%
- Materials Chemistry top 5%
- Co-authors
- Peter A. KollmanShahriar MobasheryShuanghong HuoLillian T. ChongYong DuanBernd KuhnTai‐Sung LeeThomas E. Cheatham
- Topics
- Antibiotic Resistance in Bacteria (14 papers)Antibiotics Pharmacokinetics and Efficacy (8 papers)Protein Structure and Dynamics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesFranceRussia
In The Last Decade
Irina Massova
34 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 5.0k
- Computational Theory and Mathematics 1.4k
- Oncology 1.0k
- Organic Chemistry 976
- Materials Chemistry 837
Countries citing papers authored by Irina Massova
This map shows the geographic impact of Irina Massova'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 Irina Massova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Massova more than expected).
Fields of papers citing papers by Irina Massova
This network shows the impact of papers produced by Irina Massova. 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 Irina Massova. The network helps show where Irina Massova may publish in the future.
Co-authorship network of co-authors of Irina Massova
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Massova. A scholar is included among the top collaborators of Irina Massova 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 Irina Massova. Irina Massova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 256 | |
| 3 | 16 | |
| 4 | 133 | |
| 5 | 9 | |
| 6 | Calculating Structures and Free Energies of Complex Molecules: Combining Molecular Mechanics and Continuum Modelsbreakdown → | 4039 |
| 7 | 60 | |
| 8 | 20 | |
| 9 | 225 | |
| 10 | 19 | |
| 11 | Structural and mechanistic aspects of evolution of beta-lactamases and penicillin-binding proteins. | 24 |
| 12 | 5 | |
| 13 | 19 | |
| 14 | Matrix metalloproteinases: structures, evolution, and diversificationbreakdown → | 644 |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 23 | |
| 18 | 25 | |
| 19 | 34 | |
| 20 | 18 |
About Irina Massova
Irina Massova is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pharmacology, having authored 34 papers that have together received 7.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Molecular Medicine (724 citations), Computational Theory and Mathematics (1.4k citations) and Molecular Biology (5.0k citations). Irina Massova has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Peter A. Kollman, Shahriar Mobashery, Shuanghong Huo, Lillian T. Chong, Yong Duan, Bernd Kuhn, Tai‐Sung Lee, Thomas E. Cheatham, Wei Wang and Oreola Donini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.