Brona Matoskova
- Molecular Biology top 10%
- Cell Biology top 5%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Co-authors
- Pier Paolo Di FioreAlfredo FuscoMassimo SantoroMichèle GriecoFrancesca CarlomagnoGiancarlo VecchioDonald P. BottaroAlfredo Romano
- Topics
- Protein Kinase Regulation and GTPase Signaling (3 papers)Ubiquitin and proteasome pathways (3 papers)Axon Guidance and Neuronal Signaling (2 papers)
- Partner nations
- United StatesItalySweden
In The Last Decade
Brona Matoskova
10 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 779
- Cell Biology 287
- Oncology 285
- Endocrinology, Diabetes and Metabolism 265
- Surgery 174
Countries citing papers authored by Brona Matoskova
This map shows the geographic impact of Brona Matoskova'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 Brona Matoskova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brona Matoskova more than expected).
Fields of papers citing papers by Brona Matoskova
This network shows the impact of papers produced by Brona Matoskova. 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 Brona Matoskova. The network helps show where Brona Matoskova may publish in the future.
Co-authorship network of co-authors of Brona Matoskova
This figure shows the co-authorship network connecting the top 25 collaborators of Brona Matoskova. A scholar is included among the top collaborators of Brona Matoskova 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 Brona Matoskova. Brona Matoskova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Ret-mediated mitogenesis requires Src kinase activity. | 45 |
| 2 | RN-tre identifies a family of tre-related proteins displaying a novel potential protein binding domain. | 28 |
| 3 | RN-tre specifically binds to the SH3 domain of eps8 with high affinity and confers growth advantage to NIH3T3 upon carboxy-terminal truncation. | 36 |
| 4 | 68 | |
| 5 | Activation of RET as a Dominant Transforming Gene by Germline Mutations of MEN2A and MEN2Bbreakdown → | 629 |
| 6 | 89 | |
| 7 | 34 | |
| 8 | 240 | |
| 9 | 46 | |
| 10 | 13 |
About Brona Matoskova
Brona Matoskova is a scholar working on Immunology and Allergy, Molecular Biology and Cancer Research, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Ubiquitin and proteasome pathways (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Cell Biology (287 citations), Endocrinology, Diabetes and Metabolism (265 citations) and Immunology and Allergy (82 citations). Brona Matoskova has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Pier Paolo Di Fiore, Alfredo Fusco, Massimo Santoro, Michèle Grieco, Francesca Carlomagno, Giancarlo Vecchio, Donald P. Bottaro, Alfredo Romano, Nina Dathan and Matthias H. Kraus. Their work appears in journals such as Science, Molecular and Cellular Biology and European Journal of Biochemistry.
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.