Bhuvanesh Dave
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Jenny C. ChangCarlos L. ArteagaAnindita ChakrabartyVivek MittalHelen WongCammie RinehartNara De Matos Granja-IngramMelissa D. Landis
- Topics
- Cancer Cells and Metastasis (7 papers)HER2/EGFR in Cancer Research (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesSpainChina
In The Last Decade
Bhuvanesh Dave
39 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.3k
- Oncology 1.3k
- Cancer Research 442
- Radiology, Nuclear Medicine and Imaging 361
- Pulmonary and Respiratory Medicine 247
Countries citing papers authored by Bhuvanesh Dave
This map shows the geographic impact of Bhuvanesh Dave'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 Bhuvanesh Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhuvanesh Dave more than expected).
Fields of papers citing papers by Bhuvanesh Dave
This network shows the impact of papers produced by Bhuvanesh Dave. 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 Bhuvanesh Dave. The network helps show where Bhuvanesh Dave may publish in the future.
Co-authorship network of co-authors of Bhuvanesh Dave
This figure shows the co-authorship network connecting the top 25 collaborators of Bhuvanesh Dave. A scholar is included among the top collaborators of Bhuvanesh Dave 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 Bhuvanesh Dave. Bhuvanesh Dave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 68 | |
| 3 | 11 | |
| 4 | 137 | |
| 5 | 16 | |
| 6 | 15 | |
| 7 | 101 | |
| 8 | 208 | |
| 9 | 42 | |
| 10 | 359 | |
| 11 | 6 | |
| 12 | 190 | |
| 13 | 83 | |
| 14 | 54 | |
| 15 | 35 | |
| 16 | 55 | |
| 17 | 34 | |
| 18 | 13 | |
| 19 | 76 | |
| 20 | 125 |
About Bhuvanesh Dave
Bhuvanesh Dave is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), HER2/EGFR in Cancer Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (442 citations) and Molecular Biology (1.3k citations). Bhuvanesh Dave has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Jenny C. Chang, Carlos L. Arteaga, Anindita Chakrabarty, Vivek Mittal, Helen Wong, Cammie Rinehart, Nara De Matos Granja-Ingram, Melissa D. Landis, Wei Qian and Dong Soon Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.