Inna V. Fedorenko
- Oncology top 5%
- Cancer Cells and Metastasis 3
- HER2/EGFR in Cancer Research 3
- Molecular Biology top 5%
- Melanoma and MAPK Pathways 19
- Protein Degradation and Inhibitors 4
- PI3K/AKT/mTOR signaling in cancer 3
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- Computational Drug Discovery Methods 4
- Immunology and Allergy top 10%
- Cell Biology top 10%
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- Cancer Mechanisms and Therapy 5
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- Brain Metastases and Treatment 2
- Co-authors
- Keiran S.M. SmalleyVernon K. SondakGeoffrey T. GibneyJane L. MessinaKim H.T. ParaisoKeith T. FlahertyJohn M. KoomenVito W. Rebecca
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Inna V. Fedorenko
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Oncology 809
- Molecular Biology 1.3k
- Computational Theory and Mathematics 238
- Immunology and Allergy 77
- Cell Biology 199
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
The 25 scholars most cited alongside Inna V. Fedorenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 1 | |
| 2 | 2015 | 69 | |
| 3 | 2015 | 58 | |
| 4 | 2015 | 7 | |
| 5 | 2015 | 4 | |
| 6 | 2014 | 85 | |
| 7 | 2014 | 14 | |
| 8 | 2014 | 90 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 46 | |
| 11 | 2014 | 46 | |
| 12 | 2013 | 51 | |
| 13 | 2013 | 16 | |
| 14 | 2013 | 136 | |
| 15 | 2012 | 124 | |
| 16 | 2011 | 406 | |
| 17 | 2011 | 129 | |
| 18 | Quantificational and statistical analysis of the differences in centrosomal features of untreated lung cancer cells and normal cells. | 2010 | 2 |
| 19 | 2010 | 227 | |
| 20 | 2008 | 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), Computational Drug Discovery Methods (4 papers), Protein Degradation and Inhibitors (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Cells and Metastasis (3 papers), HER2/EGFR in Cancer Research (3 papers) and Brain Metastases and Treatment (2 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.
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.