Inna V. Fedorenko
- Molecular Biology top 5%
- Oncology top 5%
- Computational Theory and Mathematics top 2%
- Cell Biology top 10%
- Immunology
- Co-authors
- Keiran S.M. SmalleyVernon K. SondakGeoffrey T. GibneyJane L. MessinaKim H.T. ParaisoKeith T. FlahertyJohn M. KoomenVito W. Rebecca
- Topics
- Melanoma and MAPK Pathways (19 papers)Cancer Mechanisms and Therapy (5 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Inna V. Fedorenko
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.3k
- Oncology 809
- Computational Theory and Mathematics 238
- Cell Biology 199
- Immunology 195
Countries citing papers authored by Inna V. Fedorenko
This map shows the geographic impact of Inna V. Fedorenko'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 Inna V. Fedorenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna V. Fedorenko more than expected).
Fields of papers citing papers by Inna V. Fedorenko
This network shows the impact of papers produced by Inna V. Fedorenko. 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 Inna V. Fedorenko. The network helps show where Inna V. Fedorenko may publish in the future.
Co-authorship network of co-authors of Inna V. Fedorenko
This figure shows the co-authorship network connecting the top 25 collaborators of Inna V. Fedorenko. A scholar is included among the top collaborators of Inna V. Fedorenko 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 Inna V. Fedorenko. Inna V. Fedorenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 69 | |
| 3 | 58 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 85 | |
| 7 | 14 | |
| 8 | 90 | |
| 9 | 1 | |
| 10 | 46 | |
| 11 | 46 | |
| 12 | 51 | |
| 13 | 16 | |
| 14 | 136 | |
| 15 | 124 | |
| 16 | 406 | |
| 17 | 129 | |
| 18 | Quantificational and statistical analysis of the differences in centrosomal features of untreated lung cancer cells and normal cells. | 2 |
| 19 | 227 | |
| 20 | 16 |
About Inna V. Fedorenko
Inna V. Fedorenko is a scholar working on Oncology, Immunology and Allergy and Molecular Biology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (19 papers), Cancer Mechanisms and Therapy (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Oncology (809 citations), Molecular Biology (1.3k citations) and Computational Theory and Mathematics (238 citations). Inna V. Fedorenko has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Keiran S.M. Smalley, Vernon K. Sondak, Geoffrey T. Gibney, Jane L. Messina, Kim H.T. Paraiso, Keith T. Flaherty, John M. Koomen, Vito W. Rebecca, Alexander R.A. Anderson and Elizabeth R. Wood. Their work appears in journals such as Cancer Research, Oncogene and British Journal of Cancer.
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.