Olga Goloubeva
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 10%
- Hematology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Angela BrodieGauri SabnisDonna NeubergLuciana F. MacedoDanijela JelovacNicholas MitsiadesTeru HideshimaNikhil C. Munshi
- Topics
- Estrogen and related hormone effects (10 papers)PI3K/AKT/mTOR signaling in cancer (4 papers)Immunotherapy and Immune Responses (4 papers)
- Cited by
- HematologyOncologyCancer Research
- Journals
- Journal of Clinical OncologyThe Journal of ImmunologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesMyanmarDenmark
In The Last Decade
Olga Goloubeva
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 755
- Oncology 502
- Genetics 312
- Hematology 264
- Pulmonary and Respiratory Medicine 239
Countries citing papers authored by Olga Goloubeva
This map shows the geographic impact of Olga Goloubeva'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 Olga Goloubeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Goloubeva more than expected).
Fields of papers citing papers by Olga Goloubeva
This network shows the impact of papers produced by Olga Goloubeva. 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 Olga Goloubeva. The network helps show where Olga Goloubeva may publish in the future.
Co-authorship network of co-authors of Olga Goloubeva
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Goloubeva. A scholar is included among the top collaborators of Olga Goloubeva 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 Olga Goloubeva. Olga Goloubeva 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 | 20 | |
| 3 | 10 | |
| 4 | 58 | |
| 5 | 126 | |
| 6 | 92 | |
| 7 | Computer assisted quantitative immunofluorescence of tumor tissue marker expression and clinical outcome to chemotherapy in advanced breast cancer patients. | 3 |
| 8 | 43 | |
| 9 | 65 | |
| 10 | 6 | |
| 11 | 71 | |
| 12 | 81 | |
| 13 | 15 | |
| 14 | 35 | |
| 15 | 7 | |
| 16 | 102 | |
| 17 | 54 | |
| 18 | 23 | |
| 19 | 64 | |
| 20 | Proteasome inhibitor PS-341 inhibits human myeloma cell growth in vivo and prolongs survival in a murine model. | 372 |
About Olga Goloubeva
Olga Goloubeva is a scholar working on Pharmacology, Genetics and Oncology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Hematology (264 citations), Oncology (502 citations) and Cancer Research (186 citations). Olga Goloubeva has collaborated with scholars based in United States, Myanmar and Denmark. Frequent co-authors include Angela Brodie, Gauri Sabnis, Donna Neuberg, Luciana F. Macedo, Danijela Jelovac, Nicholas Mitsiades, Teru Hideshima, Nikhil C. Munshi, Constantine Mitsiades and Paul G. Richardson. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and JNCI Journal of the National Cancer Institute.
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.