Banu Arun
- Oncology top 0.2%
- Cancer Research top 0.2%
- Genetics top 0.2%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Gabriel N. HortobágyiJennifer K. LittonVicente ValeroDaniel J. BooserLajos PusztaiAngelica M. Gutierrez‐BarreraAyşegül A. ŞahinMassimo Cristofanilli
- Topics
- BRCA gene mutations in cancer (123 papers)Cancer Genomics and Diagnostics (66 papers)Breast Cancer Treatment Studies (45 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Banu Arun
250 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 6.1k
- Cancer Research 3.9k
- Genetics 3.5k
- Molecular Biology 3.3k
- Pulmonary and Respiratory Medicine 1.7k
Countries citing papers authored by Banu Arun
This map shows the geographic impact of Banu Arun'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 Banu Arun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Banu Arun more than expected).
Fields of papers citing papers by Banu Arun
This network shows the impact of papers produced by Banu Arun. 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 Banu Arun. The network helps show where Banu Arun may publish in the future.
Co-authorship network of co-authors of Banu Arun
This figure shows the co-authorship network connecting the top 25 collaborators of Banu Arun. A scholar is included among the top collaborators of Banu Arun 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 Banu Arun. Banu Arun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | PARP Inhibitor Upregulates PD-L1 Expression and Enhances Cancer-Associated Immunosuppressionbreakdown → | 768 |
| 14 | 43 | |
| 15 | 44 | |
| 16 | 76 | |
| 17 | 17 | |
| 18 | 21 | |
| 19 | 119 | |
| 20 | Gene expression profiles obtained from fine-needle aspirations of breast cancer reliably identify routine prognostic markers and reveal large-scale molecular differences between estrogen-negative and estrogen-positive tumors. | 168 |
About Banu Arun
Banu Arun is a scholar working on Cancer Research, Genetics and Oncology, having authored 260 papers that have together received 11.5k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (123 papers), Cancer Genomics and Diagnostics (66 papers) and Breast Cancer Treatment Studies (45 papers). The work is most often cited by research in Cancer Research (3.9k citations), Oncology (6.1k citations) and Genetics (3.5k citations). Banu Arun has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Gabriel N. Hortobágyi, Jennifer K. Litton, Vicente Valero, Daniel J. Booser, Lajos Pusztai, Angelica M. Gutierrez‐Barrera, Ayşegül A. Şahin, Massimo Cristofanilli, Kelly K. Hunt and Kristine Broglio. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.