Puneeth Guruprasad

406 total citations
8 papers, 87 citations indexed

About

Puneeth Guruprasad is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Puneeth Guruprasad has authored 8 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Puneeth Guruprasad's work include CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (3 papers) and Blood properties and coagulation (1 paper). Puneeth Guruprasad is often cited by papers focused on CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (3 papers) and Blood properties and coagulation (1 paper). Puneeth Guruprasad collaborates with scholars based in United States, Japan and Italy. Puneeth Guruprasad's co-authors include Marco Ruella, Yong Gu Lee, Ki Hyun Kim, Christina Caruso, Wilbur A. Lam, Hanqing Zhang, Cassandra D. Josephson, John D. Roback, Robert G. Mannino and Patrizia Porazzi and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Nature Protocols.

In The Last Decade

Puneeth Guruprasad

6 papers receiving 87 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puneeth Guruprasad United States 4 33 29 24 19 19 8 87
Ekaterina Postovalova United States 6 27 0.8× 33 1.1× 13 0.5× 9 0.5× 27 1.4× 25 98
Charlotte O’Brien-Gore United Kingdom 5 32 1.0× 28 1.0× 18 0.8× 3 0.2× 15 0.8× 6 90
Agnieszka Świątkowska United Kingdom 7 51 1.5× 26 0.9× 15 0.6× 5 0.3× 29 1.5× 15 91
Rana H. Besada United States 3 56 1.7× 36 1.2× 17 0.7× 4 0.2× 50 2.6× 5 107
Katayoon Kasaian Canada 2 29 0.9× 25 0.9× 5 0.2× 10 0.5× 7 0.4× 2 70
Reynald Lescarbeau United States 3 20 0.6× 24 0.8× 14 0.6× 3 0.2× 9 0.5× 6 68
Jiuwei Cui China 7 49 1.5× 42 1.4× 31 1.3× 6 0.3× 9 0.5× 20 115
Janel Huffman United States 5 49 1.5× 87 3.0× 9 0.4× 11 0.6× 82 4.3× 7 130
Emilio Batagelj Argentina 5 25 0.8× 48 1.7× 12 0.5× 4 0.2× 11 0.6× 10 70
Ellen Fraint United States 5 44 1.3× 19 0.7× 12 0.5× 5 0.3× 9 0.5× 13 89

Countries citing papers authored by Puneeth Guruprasad

Since Specialization
Citations

This map shows the geographic impact of Puneeth Guruprasad'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 Puneeth Guruprasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puneeth Guruprasad more than expected).

Fields of papers citing papers by Puneeth Guruprasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Puneeth Guruprasad. 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 Puneeth Guruprasad. The network helps show where Puneeth Guruprasad may publish in the future.

Co-authorship network of co-authors of Puneeth Guruprasad

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

All Works

8 of 8 papers shown
1.
Guruprasad, Puneeth, Shan Liu, Luca Paruzzo, et al.. (2025). Manufacturing of CRISPR-edited primary mouse CAR T cells for cancer immunotherapy. Nature Protocols. 20(12). 3629–3654. 1 indexed citations
2.
Luciani, Fabio, et al.. (2025). Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges. Blood Cancer Discovery. 6(3). 159–162. 7 indexed citations
3.
Angelos, Mathew G., Jesse L. Rodriguez, Jaryse Harris, et al.. (2024). Overcoming the Lack of CD2:CD58 Costimulation in Chimeric Antigen Receptor T-Cell Immunotherapies. Blood. 144(Supplement 1). 504–504.
4.
Lee, Yong Gu, Patrizia Porazzi, Luca Paruzzo, et al.. (2023). Apoptosis: a Janus bifrons in T-cell immunotherapy. Journal for ImmunoTherapy of Cancer. 11(4). e005967–e005967. 16 indexed citations
5.
Porazzi, Patrizia, Yusuke Isshiki, Guido Ghilardi, et al.. (2023). Inhibition of EZH2 Improves CART19 Immunotherapy By Reprogramming Lymphoma Tumor Cells and Enhancing T-Cell Functionality. Blood. 142(Supplement 1). 1018–1018. 2 indexed citations
6.
Ghilardi, Guido, Puneeth Guruprasad, Mathew G. Angelos, et al.. (2023). Disinhibition of T Cell Activation Via CD5 Knockout Is a Universal Strategy to Enhance Adoptive T Cell Immunotherapies. Blood. 142(Supplement 1). 102–102.
7.
Guruprasad, Puneeth, Yong Gu Lee, Ki Hyun Kim, & Marco Ruella. (2020). The current landscape of single-cell transcriptomics for cancer immunotherapy. The Journal of Experimental Medicine. 218(1). 38 indexed citations
8.
Guruprasad, Puneeth, Robert G. Mannino, Christina Caruso, et al.. (2018). Integrated automated particle tracking microfluidic enables high‐throughput cell deformability cytometry for red cell disorders. American Journal of Hematology. 94(2). 189–199. 23 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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