Pranali Ravikumar

1.7k total citations · 2 hit papers
13 papers, 637 citations indexed

About

Pranali Ravikumar is a scholar working on Oncology, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Pranali Ravikumar has authored 13 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Agronomy and Crop Science. Recurrent topics in Pranali Ravikumar's work include CAR-T cell therapy research (7 papers), Animal Disease Management and Epidemiology (4 papers) and Viral Infections and Immunology Research (3 papers). Pranali Ravikumar is often cited by papers focused on CAR-T cell therapy research (7 papers), Animal Disease Management and Epidemiology (4 papers) and Viral Infections and Immunology Research (3 papers). Pranali Ravikumar collaborates with scholars based in United States, India and South Africa. Pranali Ravikumar's co-authors include Carl H. June, Margaret M. Billingsley, Nathan Singh, Michael J. Mitchell, Rui Zhang, Linhui Chen, Sangya Agarwal, Andrew J. Rech, Marco Ruella and Regina M. Young and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Pranali Ravikumar

11 papers receiving 626 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ionizable Lipid Nanoparticle-Mediated mRNA Delivery for Human CAR T Cell Engineering

2020 453 citations Margaret M. Billingsley, Nathan Singh et al. Nano Letters profile →
Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells

2023 104 citations Sangya Agarwal, M. Ángela Aznar et al. Immunity profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pranali Ravikumar United States	6	393	293	185	151	142	13	637
Alvin J. Mukalel United States	12	475 1.2×	139 0.5×	115 0.6×	142 0.9×	94 0.7×	16	664
Savan K. Patel United States	5	304 0.8×	144 0.5×	87 0.5×	88 0.6×	87 0.6×	5	418
Sushmita Chatterjee Israel	13	623 1.6×	91 0.3×	153 0.8×	114 0.8×	88 0.6×	18	847
Nuphar Veiga Israel	9	851 2.2×	103 0.4×	163 0.9×	109 0.7×	202 1.4×	10	1.0k
Kepan Chen China	8	619 1.6×	82 0.3×	180 1.0×	68 0.5×	105 0.7×	10	804
Manlio Fusciello Finland	15	263 0.7×	264 0.9×	236 1.3×	115 0.8×	183 1.3×	25	564
Katrijn Broos Belgium	15	337 0.9×	390 1.3×	384 2.1×	66 0.4×	70 0.5×	20	771
Hiroki Tanaka Japan	19	630 1.6×	73 0.2×	234 1.3×	97 0.6×	129 0.9×	50	890
Sang M. Lee United States	10	666 1.7×	61 0.2×	108 0.6×	83 0.5×	142 1.0×	14	820
Gonna Somu Naidu Israel	11	463 1.2×	48 0.2×	138 0.7×	94 0.6×	83 0.6×	25	649

Countries citing papers authored by Pranali Ravikumar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pranali Ravikumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pranali Ravikumar. A scholar is included among the top collaborators of Pranali Ravikumar 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 Pranali Ravikumar. Pranali Ravikumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Agarwal, Sangya, M. Ángela Aznar, Andrew J. Rech, et al.. (2023). Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells. Immunity. 56(10). 2388–2407.e9. 104 indexed citations breakdown →

Agarwal, Sangya, Tong Da, Shunichiro Kuramitsu, et al.. (2022). Abstract 5571: Disruption of cell-intrinsic checkpoint regulator CTLA-4 in CD19 directed CAR T cells provides clinical efficacy in CLL patients. Cancer Research. 82(12_Supplement). 5571–5571. 2 indexed citations

Oda, Shannon K., Kristin G. Anderson, Pranali Ravikumar, et al.. (2020). A Fas-4-1BB fusion protein converts a death to a pro-survival signal and enhances T cell therapy. The Journal of Experimental Medicine. 217(12). 37 indexed citations

Billingsley, Margaret M., Nathan Singh, Pranali Ravikumar, et al.. (2020). Ionizable Lipid Nanoparticle-Mediated mRNA Delivery for Human CAR T Cell Engineering. Nano Letters. 20(3). 1578–1589. 453 indexed citations breakdown →

Oda, Shannon K., Kristin G. Anderson, Philip D. Greenberg, et al.. (2020). 175 A Fas-4–1BB immunomodulatory fusion protein converts a pro-death to a pro-survival signal, enhancing T cell function and efficacy of adoptive cell therapy in murine models of AML and pancreatic cancer. SHILAP Revista de lepidopterología. A104.2–A105. 1 indexed citations

Ravikumar, Pranali, et al.. (2020). Identification of Potential Novel Inhibitors for Nipah Virus – An in silico Approach. International Journal of Current Microbiology and Applied Sciences. 9(9). 3377–3390. 8 indexed citations

Oda, Shannon K., et al.. (2018). Cheating death: a Fas-41BB immunomodulatory fusion protein obviates a death signal to enhance T cell function and adoptive therapy targeting leukemia and solid tumors. The Journal of Immunology. 200(Supplement_1). 179.11–179.11. 1 indexed citations

Singh, Nathan, Olga Shestova, Katharina E. Hayer, et al.. (2018). CAR T Cell Cytotoxicity Is Dependent on Death Receptor-Driven Apoptosis. Blood. 132(Supplement 1). 698–698. 1 indexed citations

Ravikumar, Pranali, et al.. (2014). AN IN SILICO EVALUATION OF COCCINIA GRANDIS FRUITS AGAINST ALZHEIMERS DISEASE. Journal of Pharmaceutical and Scientific Innovation. 3(4). 328–332.

10.

Reddy, G. R., et al.. (2011). Construction of genome-length cDNA for foot-and-mouth disease virus serotype Asia 1 IND 63/72 vaccine strain. 2(2). 39–45. 3 indexed citations

11.

Ravikumar, Pranali, et al.. (2011). Self Replicating Gene Vaccine Carrying P1-2A Gene of FMDV Serotype O and its Effects on the Immune Responses of Cattle. Indian Journal of Virology. 22(1). 50–58. 5 indexed citations

12.

Dani, K. G. Srikanta, Kaushik Hatti, Pranali Ravikumar, & Anil Kush. (2010). Structural and functional analyses of a saturated acyl ACP thioesterase, type B from immature seed tissue of Jatropha curcas. Plant Biology. 13(3). 453–461. 17 indexed citations

13.

Ravikumar, Pranali, et al.. (2008). Enhanced immune response of DNA vaccine (VP1-pCDNA) adsorbed on cationic PLG for foot and mouth disease in guinea pigs. Virus Genes. 37(1). 81–87. 5 indexed citations

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.

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