Sangya Agarwal

1.4k total citations · 1 hit paper
18 papers, 308 citations indexed

About

Sangya Agarwal is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Sangya Agarwal has authored 18 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Sangya Agarwal's work include CAR-T cell therapy research (11 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (3 papers). Sangya Agarwal is often cited by papers focused on CAR-T cell therapy research (11 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (3 papers). Sangya Agarwal collaborates with scholars based in United States, India and Germany. Sangya Agarwal's co-authors include Carl H. June, Regina M. Young, Marco Ruella, Tong Da, Nils Wellhausen, Shunichiro Kuramitsu, Austin K. Rennels, Pranali Ravikumar, Linhui Chen and Shweta Dang and has published in prestigious journals such as Nature, Blood and Immunity.

In The Last Decade

Sangya Agarwal

17 papers receiving 305 citations

Hit Papers

Deletion of the inhibitory co-receptor CTLA-4 enhances an... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangya Agarwal United States 10 177 114 106 61 46 18 308
Ziduo Li Australia 7 187 1.1× 137 1.2× 156 1.5× 84 1.4× 45 1.0× 9 485
Yanal Murad Canada 14 166 0.9× 209 1.8× 226 2.1× 108 1.8× 24 0.5× 26 583
Renaud Morin France 9 79 0.4× 60 0.5× 80 0.8× 33 0.5× 28 0.6× 20 258
Spencer E. Brightman United States 10 94 0.5× 240 2.1× 122 1.2× 17 0.3× 23 0.5× 14 385
Stefan Petkov Sweden 10 44 0.2× 112 1.0× 132 1.2× 36 0.6× 37 0.8× 33 321
Aws Abdul‐Wahid Canada 14 109 0.6× 151 1.3× 187 1.8× 19 0.3× 41 0.9× 17 447
Nadine Kasnitz Germany 9 250 1.4× 450 3.9× 177 1.7× 47 0.8× 119 2.6× 10 682
Xavier Engle United States 6 127 0.7× 290 2.5× 96 0.9× 22 0.4× 33 0.7× 6 374
Juergen Heß Germany 8 196 1.1× 155 1.4× 124 1.2× 34 0.6× 12 0.3× 18 399
Ralf J. Hosse Switzerland 12 181 1.0× 210 1.8× 316 3.0× 44 0.7× 28 0.6× 16 675

Countries citing papers authored by Sangya Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sangya Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangya Agarwal

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

All Works

18 of 18 papers shown
1.
Sankar, Venkat, King L. Hung, Aditi Gnanasekar, et al.. (2025). Genetic elements promote retention of extrachromosomal DNA in cancer cells. Nature. 649(8095). 152–160. 1 indexed citations
2.
Wellhausen, Nils, Nils W. Engel, January Salas-McKee, et al.. (2024). Identification of Core Techniques That Enhance Genome Editing of Human T Cells Expressing Synthetic Antigen Receptors. Cancer Immunology Research. 12(9). 1136–1146. 2 indexed citations
3.
Good, Charly R., Julie S. Barber-Rotenberg, Sangya Agarwal, et al.. (2024). 237 Enhancing mesothelin-directed CAR T cell therapy for unresectable or metastatic pancreatic adenocarcinoma. Regular and Young Investigator Award Abstracts. A272–A272.
4.
Kuramitsu, Shunichiro, Tong Da, Sangya Agarwal, et al.. (2023). Identifying highly active anti-CCR4 CAR T cells for the treatment of T-cell lymphoma. Blood Advances. 7(14). 3416–3430. 27 indexed citations
5.
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 →
6.
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
7.
Wellhausen, Nils, Austin K. Rennels, Stefanie Lesch, et al.. (2022). Epitope Editing in Hematopoietic Cells Enables CD45-Directed Immune Therapy. Blood. 140(Supplement 1). 862–864. 8 indexed citations
8.
Agarwal, Sangya, Nils Wellhausen, Bruce L. Levine, & Carl H. June. (2021). Production of Human CRISPR-Engineered CAR-T Cells. Journal of Visualized Experiments. 11 indexed citations
9.
Wellhausen, Nils, Sangya Agarwal, Philipp C. Rommel, Saar Gill, & Carl H. June. (2021). Better living through chemistry: CRISPR/Cas engineered T cells for cancer immunotherapy. Current Opinion in Immunology. 74. 76–84. 15 indexed citations
10.
Agarwal, Sangya, Nils Wellhausen, Bruce L. Levine, & Carl H. June. (2021). Production of Human CRISPR-Engineered CAR-T Cells. Journal of Visualized Experiments. 2 indexed citations
11.
Roy, Nathan H., Alexander Buffone, Daniel Blumenthal, et al.. (2020). LFA-1 signals to promote actin polymerization and upstream migration in T cells. Journal of Cell Science. 133(17). 27 indexed citations
12.
Agarwal, Sangya & Carl H. June. (2020). Harnessing CAR T-cell Insights to Develop Treatments for Hyperinflammatory Responses in Patients with COVID-19. Cancer Discovery. 10(6). 775–778. 24 indexed citations
13.
Choi, Hyeree, Sagar B. Kudchodkar, Emma L. Reuschel, et al.. (2019). Synthetic nucleic acid antibody prophylaxis confers rapid and durable protective immunity against Zika virus challenge. Human Vaccines & Immunotherapeutics. 16(4). 907–918. 9 indexed citations
14.
Wang, Yang, Rianne Esquivel, Seleeke Flingai, et al.. (2018). Anti-OspA DNA-Encoded Monoclonal Antibody Prevents Transmission of Spirochetes in Tick Challenge Providing Sterilizing Immunity in Mice. The Journal of Infectious Diseases. 219(7). 1146–1150. 16 indexed citations
15.
Muthumani, Kar, Sagar B. Kudchodkar, Alfredo Perales‐Puchalt, et al.. (2017). Novel prostate cancer immunotherapy with a DNA-encoded anti-prostate-specific membrane antigen monoclonal antibody. Cancer Immunology Immunotherapy. 66(12). 1577–1588. 31 indexed citations
16.
Muthumani, Kar, Christopher Chung, Sangya Agarwal, et al.. (2016). 401. In Vivo Expression of Plasmid Encoded IgG for PD-1 or LAG3 by Synthetic DNA as a New Tool for Cancer Immunotherapy. Molecular Therapy. 24. S159–S159. 1 indexed citations
17.
Agarwal, Sangya, Garima Sharma, Shweta Dang, Sanjay Gupta, & Reema Gabrani. (2015). Antimicrobial Peptides as Anti-Infectives against <b><i>Staphylococcus epidermidis</i></b>. Medical Principles and Practice. 25(4). 301–308. 27 indexed citations
18.
Banerjee, Gopa, et al.. (2009). Phenotypic and genotypic methods for the detection of methicillin resistant coagulase negative staphylococci: a comparative study.. PubMed. 41(1). 17–23. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026