Prashanth K. Padakanti
- Co-authors
- Zhude TuJinquan CuiRobert H. MachJoel S. PerlmutterXiang ZhangJinda FanStanley M. ParsonsHongjun Jin
- Topics
- Neuroscience and Neuropharmacology Research (4 papers)Pharmacological Receptor Mechanisms and Effects (4 papers)Receptor Mechanisms and Signaling (4 papers)
- Journals
- ACS Applied Materials & InterfacesJournal of Medicinal ChemistryIndustrial & Engineering Chemistry Research
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Prashanth K. Padakanti
18 papers receiving 336 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 168
- Neurology 87
- Cellular and Molecular Neuroscience 79
- Physiology 71
- Pharmacology 53
Countries citing papers authored by Prashanth K. Padakanti
This map shows the geographic impact of Prashanth K. Padakanti'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 Prashanth K. Padakanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanth K. Padakanti more than expected).
Fields of papers citing papers by Prashanth K. Padakanti
This network shows the impact of papers produced by Prashanth K. Padakanti. 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 Prashanth K. Padakanti. The network helps show where Prashanth K. Padakanti may publish in the future.
Co-authorship network of co-authors of Prashanth K. Padakanti
This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth K. Padakanti. A scholar is included among the top collaborators of Prashanth K. Padakanti 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 Prashanth K. Padakanti. Prashanth K. Padakanti 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 | 3 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 18 | |
| 6 | Radiosynthesis and in vitro evaluation of [11C]Shield-1, a PET probe for imaging CAR T cells that express the iCasp9 suicide gene | 1 |
| 7 | 17 | |
| 8 | 34 | |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 8 | |
| 12 | 50 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | Synthesis and validation of two potent F-18 labeled VAChT PET probes | 1 |
| 16 | 51 | |
| 17 | 47 | |
| 18 | 18 | |
| 19 | Radiosynthesis and in vivo evaluation of (-)[11C]TZ1-27-2 as a PET tracer for imaging VAChT | 1 |
About Prashanth K. Padakanti
Prashanth K. Padakanti is a scholar working on Pharmaceutical Science, Biochemistry and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 339 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Neurology (87 citations), Cellular and Molecular Neuroscience (79 citations) and Pharmacology (53 citations). Prashanth K. Padakanti has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Zhude Tu, Jinquan Cui, Robert H. Mach, Joel S. Perlmutter, Xiang Zhang, Jinda Fan, Stanley M. Parsons, Hongjun Jin, Hubert Flores and Devika P. Bagchi. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Medicinal Chemistry and Industrial & Engineering Chemistry Research.
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.