Aruna Dontabhaktuni
- Oncology
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Co-authors
- Hagop YoussoufianJohannes NippgenAlan E. RoyceMadhav VasanthavadaMadhu PudipeddiYatindra M. JoshiAbu T.M. SerajuddinMuhammad Wasif Saif
- Topics
- HER2/EGFR in Cancer Research (4 papers)Cancer Treatment and Pharmacology (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)
- Journals
- Journal of Clinical OncologyClinical Cancer ResearchJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesJapanGermany
In The Last Decade
Aruna Dontabhaktuni
16 papers receiving 457 citations
Peers
Comparison fields: 5 of 79
- Oncology 216
- Molecular Biology 152
- Pulmonary and Respiratory Medicine 144
- Radiology, Nuclear Medicine and Imaging 53
- Pathology and Forensic Medicine 52
Countries citing papers authored by Aruna Dontabhaktuni
This map shows the geographic impact of Aruna Dontabhaktuni'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 Aruna Dontabhaktuni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna Dontabhaktuni more than expected).
Fields of papers citing papers by Aruna Dontabhaktuni
This network shows the impact of papers produced by Aruna Dontabhaktuni. 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 Aruna Dontabhaktuni. The network helps show where Aruna Dontabhaktuni may publish in the future.
Co-authorship network of co-authors of Aruna Dontabhaktuni
This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Dontabhaktuni. A scholar is included among the top collaborators of Aruna Dontabhaktuni 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 Aruna Dontabhaktuni. Aruna Dontabhaktuni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 50 | |
| 6 | 33 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 66 | |
| 11 | 23 | |
| 12 | 112 | |
| 13 | 62 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 45 |
About Aruna Dontabhaktuni
Aruna Dontabhaktuni is a scholar working on Filtration and Separation, Oncology and Gastroenterology, having authored 16 papers that have together received 466 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Cancer Treatment and Pharmacology (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Oncology (216 citations), Pharmaceutical Science (45 citations) and Hepatology (37 citations). Aruna Dontabhaktuni has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Hagop Youssoufian, Johannes Nippgen, Alan E. Royce, Madhav Vasanthavada, Madhu Pudipeddi, Yatindra M. Joshi, Abu T.M. Serajuddin, Muhammad Wasif Saif, Leonard B. Saltz and Marwan Fakih. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and Journal of Pharmacology and Experimental Therapeutics.
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.