Eugenia V. Broude
- Molecular Biology top 2%
- Oncology top 1%
- Physiology top 5%
- Cell Biology top 2%
- Cancer Research top 5%
- Co-authors
- Igor B. RoninsonBey-Dih ChangJing FangYongzhi XuanHongming ZhuJulia KowalAmer AlamKaspar P. Locher
- Topics
- Cancer-related Molecular Pathways (23 papers)Advanced Breast Cancer Therapies (15 papers)Ubiquitin and proteasome pathways (7 papers)
- Cited by
- OncologyAgingMolecular Biology
- Partner nations
- United StatesHungaryRussia
In The Last Decade
Eugenia V. Broude
52 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.7k
- Oncology 1.8k
- Physiology 727
- Cell Biology 484
- Cancer Research 457
Countries citing papers authored by Eugenia V. Broude
This map shows the geographic impact of Eugenia V. Broude'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 Eugenia V. Broude with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia V. Broude more than expected).
Fields of papers citing papers by Eugenia V. Broude
This network shows the impact of papers produced by Eugenia V. Broude. 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 Eugenia V. Broude. The network helps show where Eugenia V. Broude may publish in the future.
Co-authorship network of co-authors of Eugenia V. Broude
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia V. Broude. A scholar is included among the top collaborators of Eugenia V. Broude 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 Eugenia V. Broude. Eugenia V. Broude 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | Structural insight into substrate and inhibitor discrimination by human P-glycoproteinbreakdown → | 372 |
| 7 | 30 | |
| 8 | 68 | |
| 9 | 48 | |
| 10 | 33 | |
| 11 | 62 | |
| 12 | Abstract #5552: BSI-201 enhances the activity of multiple classes of cytotoxic agents and irradiation in triple negative breast cancer | 13 |
| 13 | 67 | |
| 14 | 64 | |
| 15 | If not apoptosis, then what? Treatment-induced senescence and mitotic catastrophe in tumor cellsbreakdown → | 601 |
| 16 | 141 | |
| 17 | 21 | |
| 18 | 327 | |
| 19 | 120 | |
| 20 | 115 |
About Eugenia V. Broude
Eugenia V. Broude is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (23 papers), Advanced Breast Cancer Therapies (15 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Oncology (1.8k citations), Aging (80 citations) and Molecular Biology (2.7k citations). Eugenia V. Broude has collaborated with scholars based in United States, Hungary and Russia. Frequent co-authors include Igor B. Roninson, Bey-Dih Chang, Jing Fang, Yongzhi Xuan, Hongming Zhu, Julia Kowal, Amer Alam, Kaspar P. Locher, Jason C. Poole and T. V. Kalinichenko. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Cancer Research.
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.