Pranali Ravikumar
Impact in
- Oncology top 10%
- CAR-T cell therapy research
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 7
- CAR-T cell therapy research 7
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Carl H. June (4 shared papers)Rui Zhang (1 shared paper)Michael J. Mitchell (1 shared paper)Margaret M. Billingsley (1 shared paper)Nathan Singh (2 shared papers)January Salas-McKee (1 shared paper)Regina M. Young (2 shared papers)Austin K. Rennels (1 shared paper)
- Journals
- Cancer Research (1 paper)The Journal of Immunology (1 paper)Virus Genes (1 paper)Blood (1 paper)Immunity (1 paper)
- Partner nations
- United StatesIndiaSouth Africa
In The Last Decade
Pranali Ravikumar
11 papers receiving 626 citations
Pranali Ravikumar's Hit Papers
Peers
Comparison fields: 5 of 54
- Oncology 293
- Immunology 185
- Molecular Biology 393
- Genetics 142
- Biomaterials 53
Countries citing papers authored by Pranali Ravikumar
This map shows the geographic impact of Pranali Ravikumar'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 Pranali Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranali Ravikumar more than expected).
Fields of papers citing papers by Pranali Ravikumar
This network shows the impact of papers produced by Pranali Ravikumar. 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 Pranali Ravikumar. The network helps show where Pranali Ravikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pranali Ravikumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Ionizable Lipid Nanoparticle-Mediated mRNA Delivery for Human CAR T Cell Engineering Hit paper breakdown → | 2020 | 453 |
| 2 | Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells Hit paper breakdown → | 2023 | 104 |
| 3 | 2020 | 37 | |
| 4 | 2010 | 17 | |
| 5 | 2020 | 8 | |
| 6 | 2008 | 5 | |
| 7 | 2011 | 5 | |
| 8 | 2011 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2018 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2014 | 0 |
About Pranali Ravikumar
Pranali Ravikumar is a scholar working on Oncology, Molecular Biology, Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Genetics, having authored 13 papers that have together received 637 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Animal Disease Management and Epidemiology (4 papers), Virus-based gene therapy research (3 papers), Viral Infections and Immunology Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immune Cell Function and Interaction (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Oncology (293 citations), Immunology (185 citations), Molecular Biology (393 citations), Genetics (142 citations) and Biomaterials (53 citations). Pranali Ravikumar has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Carl H. June, Rui Zhang, Michael J. Mitchell, Margaret M. Billingsley, Nathan Singh, January Salas-McKee, Regina M. Young, Austin K. Rennels, Charly R. Good and Tong Da. Their work appears in journals such as Cancer Research, The Journal of Immunology, Virus Genes, Blood and Immunity.
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.