Ranga Partha
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Materials Chemistry
- Biomedical Engineering
- Organic Chemistry
- Co-authors
- Jodie L. ConyersMark S. BraimanJohn L. SpudichS. Ward CasscellsMichael WagnerGazalah SabehiTal IsaacsonAlexander Loy
- Topics
- Photoreceptor and optogenetics research (6 papers)Neuroscience and Neuropharmacology Research (5 papers)Fullerene Chemistry and Applications (4 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Ranga Partha
15 papers receiving 758 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 310
- Molecular Biology 308
- Materials Chemistry 252
- Biomedical Engineering 224
- Organic Chemistry 132
Countries citing papers authored by Ranga Partha
This map shows the geographic impact of Ranga Partha'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 Ranga Partha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranga Partha more than expected).
Fields of papers citing papers by Ranga Partha
This network shows the impact of papers produced by Ranga Partha. 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 Ranga Partha. The network helps show where Ranga Partha may publish in the future.
Co-authorship network of co-authors of Ranga Partha
This figure shows the co-authorship network connecting the top 25 collaborators of Ranga Partha. A scholar is included among the top collaborators of Ranga Partha 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 Ranga Partha. Ranga Partha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 36 | |
| 3 | Original Article: Diagnostic Nanomedicine An iodinated liposomal computed tomographic contrast agent prepared from a diiodophosphatidylcholine lipid | 1 |
| 4 | Antibody-labeled liposomes for CT imaging of atherosclerotic plaques: in vitro investigation of an anti-ICAM antibody-labeled liposome containing iohexol for molecular imaging of atherosclerotic plaques via computed tomography. | 34 |
| 5 | 149 | |
| 6 | 50 | |
| 7 | 62 | |
| 8 | 75 | |
| 9 | 43 | |
| 10 | 4 | |
| 11 | 191 | |
| 12 | 21 | |
| 13 | 23 | |
| 14 | 33 | |
| 15 | 53 |
About Ranga Partha
Ranga Partha is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Organic Chemistry, having authored 15 papers that have together received 776 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Fullerene Chemistry and Applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (310 citations), Biomaterials (76 citations) and Materials Chemistry (252 citations). Ranga Partha has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Jodie L. Conyers, Mark S. Braiman, John L. Spudich, S. Ward Casscells, Michael Wagner, Gazalah Sabehi, Tal Isaacson, Alexander Loy, Joseph Hirschberg and Kwang-Hwan Jung. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and ACS Nano.
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.