Maria Smirnova
- Molecular Biology
- Oncology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Nutrition and Dietetics top 10%
- Co-authors
- Salvatore CisterninoJean‐Michel ScherrmannJamal TemsamaniChristophe RousselleJ.M. ScherrmannJ.M. BourreIsabelle CarriéXavier Declèves
- Topics
- Drug Transport and Resistance Mechanisms (12 papers)Neuroscience and Neuropharmacology Research (6 papers)Receptor Mechanisms and Signaling (5 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaCritical Care Medicine
In The Last Decade
Maria Smirnova
34 papers receiving 961 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 444
- Oncology 219
- Cellular and Molecular Neuroscience 188
- Physiology 149
- Nutrition and Dietetics 149
Countries citing papers authored by Maria Smirnova
This map shows the geographic impact of Maria Smirnova'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 Smirnova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Smirnova more than expected).
Fields of papers citing papers by Maria Smirnova
This network shows the impact of papers produced by Maria Smirnova. 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 Smirnova. The network helps show where Maria Smirnova may publish in the future.
Co-authorship network of co-authors of Maria Smirnova
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Smirnova. A scholar is included among the top collaborators of Maria Smirnova 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 Maria Smirnova. Maria Smirnova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 34 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 56 | |
| 12 | 39 | |
| 13 | 49 | |
| 14 | 0 | |
| 15 | 39 | |
| 16 | 90 | |
| 17 | 2 | |
| 18 | The meadow moth: still a dangerous pest. | 2 |
| 19 | The large-scale spread of beet webworm and corn borer. | 1 |
| 20 | 29 |
About Maria Smirnova
Maria Smirnova is a scholar working on Neurology, Microbiology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 985 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Microbiology (95 citations), Neurology (109 citations) and Cellular and Molecular Neuroscience (188 citations). Maria Smirnova has collaborated with scholars based in France, Russia and Italy. Frequent co-authors include Salvatore Cisternino, Jean‐Michel Scherrmann, Jamal Temsamani, Christophe Rousselle, J.M. Scherrmann, J.M. Bourre, Isabelle Carrié, Xavier Declèves, Hélène Chapy and Jeanne-Marie Lefauconnier. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Critical Care Medicine.
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.