Yash Agarwal

736 total citations
12 papers, 333 citations indexed

About

Yash Agarwal is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Yash Agarwal has authored 12 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Yash Agarwal's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Yash Agarwal is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Yash Agarwal collaborates with scholars based in United States, India and Singapore. Yash Agarwal's co-authors include Darrell J. Irvine, Lauren E. Milling, K. Dane Wittrup, Emi A. Lutz, Jason Y.H. Chang, Kaiyuan Ni, Mariane B. Melo, Nita Parekh, Kristen A. Rodrigues and Jordan A. Stinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yash Agarwal

12 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yash Agarwal United States 9 172 142 134 68 29 12 333
Philippe Youkharibache United States 7 124 0.7× 310 2.2× 239 1.8× 96 1.4× 84 2.9× 17 546
Suchitra Kamle United States 15 157 0.9× 372 2.6× 90 0.7× 58 0.9× 33 1.1× 27 542
Jiann-Shiun Lai Taiwan 9 110 0.6× 293 2.1× 80 0.6× 29 0.4× 70 2.4× 16 474
Mesfin Gewe United States 8 90 0.5× 217 1.5× 104 0.8× 60 0.9× 44 1.5× 10 379
Aris J. Kare United States 6 66 0.4× 114 0.8× 78 0.6× 91 1.3× 30 1.0× 10 242
Audrey Olshefsky United States 5 56 0.3× 165 1.2× 83 0.6× 75 1.1× 24 0.8× 7 262
Luděk Sojka Czechia 8 200 1.2× 140 1.0× 157 1.2× 27 0.4× 74 2.6× 13 389
Marina N. Raie United States 8 71 0.4× 131 0.9× 65 0.5× 91 1.3× 44 1.5× 13 245
Xiaoyu An China 9 99 0.6× 84 0.6× 100 0.7× 44 0.6× 41 1.4× 32 255
Xiaoqiong Hou China 12 189 1.1× 166 1.2× 188 1.4× 109 1.6× 17 0.6× 18 391

Countries citing papers authored by Yash Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Yash Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yash Agarwal

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

All Works

12 of 12 papers shown
1.
Rodrigues, Kristen A., Christopher A. Cottrell, Jon M. Steichen, et al.. (2023). Optimization of an alum-anchored clinical HIV vaccine candidate. npj Vaccines. 8(1). 117–117. 4 indexed citations
2.
Agarwal, Yash, et al.. (2023). Tumor-localized catalases can fail to alter tumor growth and transcriptional profiles in subcutaneous syngeneic mouse tumor models. Redox Biology. 64. 102766–102766. 8 indexed citations
3.
Kyung, Taeyoon, Caleb R. Perez, Azucena Ramos, et al.. (2022). Screening for CD19-specific chimaeric antigen receptors with enhanced signalling via a barcoded library of intracellular domains. Nature Biomedical Engineering. 6(7). 855–866. 42 indexed citations
4.
Chang, Jason Y.H., Yash Agarwal, Kristen A. Rodrigues, et al.. (2022). Co‐Anchoring of Engineered Immunogen and Immunostimulatory Cytokines to Alum Promotes Enhanced‐Humoral Immunity. Advanced Therapeutics. 5(7). 2100235–2100235. 4 indexed citations
5.
Agarwal, Yash, Lauren E. Milling, Jason Y.H. Chang, et al.. (2022). Intratumourally injected alum-tethered cytokines elicit potent and safer local and systemic anticancer immunity. Nature Biomedical Engineering. 6(2). 129–143. 97 indexed citations
6.
Milling, Lauren E., Daniel Garafola, Yash Agarwal, et al.. (2022). Neoadjuvant STING Activation, Extended Half-life IL2, and Checkpoint Blockade Promote Metastasis Clearance via Sustained NK-cell Activation.. Cancer Immunology Research. 10(1). 26–39. 14 indexed citations
7.
Lutz, Emi A., Yash Agarwal, Noor Momin, et al.. (2022). Alum-anchored intratumoral retention improves the tolerability and antitumor efficacy of type I interferon therapies. Proceedings of the National Academy of Sciences. 119(36). e2205983119–e2205983119. 23 indexed citations
8.
Milling, Lauren E., Daniel Garafola, Yash Agarwal, et al.. (2021). Neoadjuvant STING Activation, Extended Half-life IL2, and Checkpoint Blockade Promote Metastasis Clearance via Sustained NK-cell Activation. Cancer Immunology Research. 10(1). 26–39. 24 indexed citations
9.
Wang, Chensu, Ang Cui, Aereas Aung, et al.. (2021). Reprogramming NK cells and macrophages via combined antibody and cytokine therapy primes tumors for elimination by checkpoint blockade. Cell Reports. 37(8). 110021–110021. 28 indexed citations
10.
Weinberg, Benjamin H., Jang Hwan Cho, Yash Agarwal, et al.. (2019). High-performance chemical- and light-inducible recombinases in mammalian cells and mice. Nature Communications. 10(1). 4845–4845. 46 indexed citations
11.
Agarwal, Yash, et al.. (2019). NAPS update: network analysis of molecular dynamics data and protein–nucleic acid complexes. Nucleic Acids Research. 47(W1). W462–W470. 42 indexed citations
12.
Haddock, Traci L., Douglas Densmore, Evan Appleton, et al.. (2015). BBF RFC 94: Type IIS Assembly for Bacterial Transcriptional Units: A Standardized Assembly Method for Building Bacterial Transcriptional Units Using the Type IIS Restriction Enzymes BsaI and BbsI. DSpace@MIT (Massachusetts Institute of Technology). 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.

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