Pavani Chalasani
- Oncology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Robert B. LivingstonAlison StopeckTerry A. BadgerAlla SikorskiiChris SegrinAndrew BrennerAna Mariá LópezKaren L. Weihs
- Topics
- Cancer Treatment and Pharmacology (22 papers)Advanced Breast Cancer Therapies (15 papers)HER2/EGFR in Cancer Research (13 papers)
- Cited by
- OncologyCancer ResearchGenetics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesItalyAustria
In The Last Decade
Pavani Chalasani
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Oncology 478
- Molecular Biology 344
- Pulmonary and Respiratory Medicine 225
- Cancer Research 155
- Radiology, Nuclear Medicine and Imaging 129
Countries citing papers authored by Pavani Chalasani
This map shows the geographic impact of Pavani Chalasani'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 Pavani Chalasani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavani Chalasani more than expected).
Fields of papers citing papers by Pavani Chalasani
This network shows the impact of papers produced by Pavani Chalasani. 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 Pavani Chalasani. The network helps show where Pavani Chalasani may publish in the future.
Co-authorship network of co-authors of Pavani Chalasani
This figure shows the co-authorship network connecting the top 25 collaborators of Pavani Chalasani. A scholar is included among the top collaborators of Pavani Chalasani 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 Pavani Chalasani. Pavani Chalasani 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 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 178 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 18 | |
| 20 | Advanced desmoplastic small round cell tumor: near complete response with trastuzumab-based chemotherapy. | 2 |
About Pavani Chalasani
Pavani Chalasani is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (22 papers), Advanced Breast Cancer Therapies (15 papers) and HER2/EGFR in Cancer Research (13 papers). The work is most often cited by research in Oncology (478 citations), Cancer Research (155 citations) and Genetics (102 citations). Pavani Chalasani has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Robert B. Livingston, Alison Stopeck, Terry A. Badger, Alla Sikorskii, Chris Segrin, Andrew Brenner, Ana Mariá López, Karen L. Weihs, Denise J. Roe and Peter Kabos. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.