Vivasvan S. Vykunta

774 total citations
10 papers, 314 citations indexed

About

Vivasvan S. Vykunta is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Vivasvan S. Vykunta has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Vivasvan S. Vykunta's work include CAR-T cell therapy research (5 papers), CRISPR and Genetic Engineering (4 papers) and T-cell and B-cell Immunology (3 papers). Vivasvan S. Vykunta is often cited by papers focused on CAR-T cell therapy research (5 papers), CRISPR and Genetic Engineering (4 papers) and T-cell and B-cell Immunology (3 papers). Vivasvan S. Vykunta collaborates with scholars based in United States, France and Italy. Vivasvan S. Vykunta's co-authors include Alexander Marson, Brian R. Shy, James L. Mueller, Julie Zikherman, Zhongmei Li, Jeremy F. Brooks, Corey Tan, Justin Eyquem, John Huizar and Mark Noviski and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Nature Immunology.

In The Last Decade

Vivasvan S. Vykunta

9 papers receiving 311 citations

Peers

Countries citing papers authored by Vivasvan S. Vykunta

Since Specialization

Citations

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

Fields of papers citing papers by Vivasvan S. Vykunta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivasvan S. Vykunta. 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 Vivasvan S. Vykunta. The network helps show where Vivasvan S. Vykunta may publish in the future.

Co-authorship network of co-authors of Vivasvan S. Vykunta

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	SEED-Selection enables high-efficiency enrichment of primary T cells edited at multiple loci 2025 ·Nature Biotechnology ·Christopher Chang, Vivasvan S. Vykunta, (unknown), Lian Li, (unknown), Joseph J. Muldoon, Charlotte H. Wang, (unknown), Yang Sun, Daniel B. Goodman, William A. Nyberg, (unknown), Vincent Allain, (unknown), Chun Ye, Alexander Marson, Brian R. Shy, Justin Eyquem	0
2	Altered cancer metabolism and implications for next-generation CAR T-cell therapies 2024 ·Pharmacology & Therapeutics ·Rishab Ramapriyan, Vivasvan S. Vykunta, (unknown), (unknown), Jing Sun, William T. Curry, Bryan D. Choi	18
3	Mast cells help organize the Peyer’s patch niche for induction of IgA responses 2024 ·Science Immunology ·Marco De Giovanni, Vivasvan S. Vykunta, Adi Biram, Kevin Y. Chen, (unknown), Jinping An, Dean Sheppard, Helena Païdassi, Jason G. Cyster	7
4	Peptide-mediated delivery of CRISPR enzymes for the efficient editing of primary human lymphocytes 2023 ·Nature Biomedical Engineering ·(unknown), Joseph J. Muldoon, David N. Nguyen, Daniel J.J. Carr, (unknown), (unknown), Stacia K. Wyman, Netravathi Krishnappa, Rima Mendonsa, (unknown), Brian R. Shy, Vivasvan S. Vykunta, Vincent Allain, Zhongmei Li, Alexander Marson, Justin Eyquem, Ross C. Wilson	82
5	Molecular basis for potent B cell responses to antigen displayed on particles of viral size 2023 ·Nature Immunology ·Jeremy F. Brooks, (unknown), James L. Mueller, (unknown), (unknown), (unknown), (unknown), Vivasvan S. Vykunta, Hailyn V. Nielsen, Wei Cheng, Julie Zikherman	25
6	Pooled screening of CAR T cells identifies diverse immune signaling domains for next-generation immunotherapies 2022 ·Science Translational Medicine ·Daniel B. Goodman, Camillia S. Azimi, (unknown), Alexis Talbot, (unknown), Julie Garcia, Nisarg Patel, Byungjin Hwang, David Lee, (unknown), Vivasvan S. Vykunta, Brian R. Shy, Chun Ye, Justin Eyquem, Alexander Marson, Jeffrey A. Bluestone, Kole T. Roybal	51
7	CRISPR–Cas9-mediated nuclear transport and genomic integration of nanostructured genes in human primary cells 2022 ·Nucleic Acids Research ·Enrique Lin-Shiao, Wolfgang Pfeifer, Brian R. Shy, Mohammad Saffari Doost, (unknown), Vivasvan S. Vykunta, Jennifer Hamilton, Elizabeth C. Stahl, Diana M. Lopez, Cindy R. Sandoval Espinoza, (unknown), Rachel J. Lew, (unknown), Alexander Marson, Carlos E. Castro, Jennifer A. Doudna	54
8	Negative feedback by NUR77/Nr4a1 restrains B cell clonal dominance during early T-dependent immune responses 2021 ·Cell Reports ·Jeremy F. Brooks, Corey Tan, James L. Mueller, (unknown), Ryosuke Hiwa, Vivasvan S. Vykunta, Julie Zikherman	11
9	NR4A nuclear receptors restrain B cell responses to antigen when second signals are absent or limiting 2020 ·Nature Immunology ·Corey Tan, Ryosuke Hiwa, James L. Mueller, Vivasvan S. Vykunta, (unknown), Mark Noviski, John Huizar, Jeremy F. Brooks, (unknown), (unknown), Zhongmei Li, Alexander Marson, Julie Zikherman	49
10	Optimal Development of Mature B Cells Requires Recognition of Endogenous Antigens 2019 ·The Journal of Immunology ·Mark Noviski, Corey Tan, John Huizar, Vivasvan S. Vykunta, James L. Mueller, Julie Zikherman	17

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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