Sunil Bhakta
- Molecular Biology top 5%
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Immunology top 5%
- Genetics top 2%
- Co-authors
- Jagath R. JunutulaHelga RaabPaul PolakisSiler H. PanowskiKurt JarnaginStefan HemmerichSteven D. RosenChinh Bach
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)Glycosylation and Glycoproteins Research (8 papers)Chemical Synthesis and Analysis (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Sunil Bhakta
34 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.5k
- Oncology 1.4k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Immunology 697
- Genetics 359
Countries citing papers authored by Sunil Bhakta
This map shows the geographic impact of Sunil Bhakta'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 Sunil Bhakta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Bhakta more than expected).
Fields of papers citing papers by Sunil Bhakta
This network shows the impact of papers produced by Sunil Bhakta. 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 Sunil Bhakta. The network helps show where Sunil Bhakta may publish in the future.
Co-authorship network of co-authors of Sunil Bhakta
This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Bhakta. A scholar is included among the top collaborators of Sunil Bhakta 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 Sunil Bhakta. Sunil Bhakta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 32 | |
| 3 | 29 | |
| 4 | Site-specific antibody drug conjugates for cancer therapybreakdown → | 517 |
| 5 | 23 | |
| 6 | 214 | |
| 7 | 128 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 41 | |
| 11 | 29 | |
| 12 | 205 | |
| 13 | 60 | |
| 14 | 130 | |
| 15 | 168 | |
| 16 | 35 | |
| 17 | 73 | |
| 18 | Evaluation of lossy compression distortion on digital mammograms | 2 |
| 19 | 5 | |
| 20 | 62 |
About Sunil Bhakta
Sunil Bhakta is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (8 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Oncology (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Immunology and Allergy (227 citations). Sunil Bhakta has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jagath R. Junutula, Helga Raab, Paul Polakis, Siler H. Panowski, Kurt Jarnagin, Stefan Hemmerich, Steven D. Rosen, Chinh Bach, Rena Obernolte and Earl R. Shelton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.