Ravindra Kasliwal
- Radiology, Nuclear Medicine and Imaging top 10%
- Cellular and Molecular Neuroscience
- Molecular Biology
- Oncology
- Neurology
- Co-authors
- James L. LearAbass AlaviJeffrey BillingsJohn ReilleyHank F. KungMei‐Ping KungMei Ping KungRobert H. Mach
- Topics
- Radiopharmaceutical Chemistry and Applications (10 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Medical Imaging Techniques and Applications (4 papers)
- Partner nations
- United States
In The Last Decade
Ravindra Kasliwal
15 papers receiving 374 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 165
- Cellular and Molecular Neuroscience 88
- Molecular Biology 85
- Oncology 76
- Neurology 55
Countries citing papers authored by Ravindra Kasliwal
This map shows the geographic impact of Ravindra Kasliwal'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 Ravindra Kasliwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravindra Kasliwal more than expected).
Fields of papers citing papers by Ravindra Kasliwal
This network shows the impact of papers produced by Ravindra Kasliwal. 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 Ravindra Kasliwal. The network helps show where Ravindra Kasliwal may publish in the future.
Co-authorship network of co-authors of Ravindra Kasliwal
This figure shows the co-authorship network connecting the top 25 collaborators of Ravindra Kasliwal. A scholar is included among the top collaborators of Ravindra Kasliwal 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 Ravindra Kasliwal. Ravindra Kasliwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 26 | |
| 3 | High-dose 90Y Mx-diethylenetriaminepentaacetic acid (DTPA)-BrE-3 and autologous hematopoietic stem cell support (AHSCS) for the treatment of advanced breast cancer: a phase I trial. | 38 |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 24 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 32 | |
| 10 | 4 | |
| 11 | Pharmacokinetics, biodistribution, and gamma camera imaging of 111In-KC-4G3 murine monoclonal antibody in athymic nude mice with or without human tumor xenografts. | 10 |
| 12 | In vitro and in vivo evaluation of [123I]IBZM: a potential CNS D-2 dopamine receptor imaging agent. | 114 |
| 13 | 1 | |
| 14 | 63 | |
| 15 | 4 |
About Ravindra Kasliwal
Ravindra Kasliwal is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Neurology, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (165 citations), Cellular and Molecular Neuroscience (88 citations) and Neurology (55 citations). Ravindra Kasliwal has collaborated with scholars based in United States. Frequent co-authors include James L. Lear, Abass Alavi, Jeffrey Billings, John Reilley, Hank F. Kung, Mei‐Ping Kung, Mei Ping Kung, Robert H. Mach, Hank F. Kung and Duane C. Bloedow. Their work appears in journals such as Radiology, Clinical Cancer Research and Journal of Medicinal 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.