Sai T. Reddy

8.9k total citations · 2 hit papers
91 papers, 5.7k citations indexed

About

Sai T. Reddy is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sai T. Reddy has authored 91 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 51 papers in Immunology and 33 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sai T. Reddy's work include T-cell and B-cell Immunology (40 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and CAR-T cell therapy research (24 papers). Sai T. Reddy is often cited by papers focused on T-cell and B-cell Immunology (40 papers), Monoclonal and Polyclonal Antibodies Research (32 papers) and CAR-T cell therapy research (24 papers). Sai T. Reddy collaborates with scholars based in Switzerland, United States and Norway. Sai T. Reddy's co-authors include Melody A. Swartz, Jeffrey A. Hubbell, Victor Greiff, Gwendalyn J. Randolph, Véronique Angeli, Conlin P. O’Neil, André J. van der Vlies, Leslie K. Lee, Eleonora Simeoni and Annemie Rehor and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sai T. Reddy

88 papers receiving 5.6k 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.

Exploiting lymphatic transport and complement activation in nanoparticle vaccines

2007 1.1k citations Sai T. Reddy, Véronique Angeli et al. profile →
In vivo targeting of dendritic cells in lymph nodes with poly(propylene sulfide) nanoparticles

2006 543 citations Sai T. Reddy, Melody A. Swartz et al. profile →

Peers

Sai T. Reddy

IMMUN

RNMI

ONCOL

Geoffrey A. Pietersz Australia

Manuel L. Penichet United States

Jan Terje Andersen Norway

Inger Sandlie Norway

Tal Zaks United States

Jonathan P. Schneck United States

Jennifer R. Cochran United States

Evelien Smits Belgium

Yongjun Liu China

Karine Breckpot Belgium

Geoffrey A. Pietersz Australia

Sai T. Reddy

2.3k ×0.8

IMMUN

2.5k ×0.9

1.2k ×0.8

RNMI

716 ×0.6

ONCOL

420 ×0.6

Citations per year, relative to Sai T. Reddy Sai T. Reddy (= 1×) peers Geoffrey A. Pietersz

Countries citing papers authored by Sai T. Reddy

Since Specialization

Citations

This map shows the geographic impact of Sai T. Reddy'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 Sai T. Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai T. Reddy more than expected).

Fields of papers citing papers by Sai T. Reddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai T. Reddy. 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 Sai T. Reddy. The network helps show where Sai T. Reddy may publish in the future.

Co-authorship network of co-authors of Sai T. Reddy

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Taft, Joseph M., Edward B. Irvine, Cédric R. Weber, et al.. (2025). Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2. Nature Biomedical Engineering. 9(4). 552–565. 2 indexed citations

Reddy, Sai T., et al.. (2024). Engineering next-generation chimeric antigen receptor-T cells: recent breakthroughs and remaining challenges in design and screening of novel chimeric antigen receptor variants. Current Opinion in Biotechnology. 90. 103223–103223. 4 indexed citations

Reddy, Sai T., et al.. (2024). Exploring Socioeconomic Disparities in Mandibular Trauma: A Retrospective Cohort Analysis of Patient Profiles and Treatment Outcomes. Craniomaxillofacial Trauma & Reconstruction. 17(4). NP12–NP20.

Reddy, Sai T., et al.. (2024). TCR clustering by contrastive learning on antigen specificity. Briefings in Bioinformatics. 25(5). 3 indexed citations

Reddy, Sai T., et al.. (2024). Multidimensional analysis reveals predictive markers for CAR-T efficacy. Nature Cancer. 5(7). 960–961. 2 indexed citations

Yang, Aerin, Kevin M. Jude, Ben Lai, et al.. (2023). Deploying synthetic coevolution and machine learning to engineer protein-protein interactions. Science. 381(6656). eadh1720–eadh1720. 18 indexed citations

Neumeier, Daniel, Alexander Yermanos, Roy A. Ehling, et al.. (2022). Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells. Proceedings of the National Academy of Sciences. 119(18). e2113766119–e2113766119. 13 indexed citations

Papadopoulou, Chrysa, Cédric R. Weber, Victor Greiff, et al.. (2022). Echidna: integrated simulations of single-cell immune receptor repertoires and transcriptomes. Bioinformatics Advances. 2(1). vbac062–vbac062. 4 indexed citations

Reddy, Sai T., et al.. (2022). Nucleotide augmentation for machine learning-guided protein engineering. Bioinformatics Advances. 3(1). vbac094–vbac094. 7 indexed citations

10.

Vistain, Luke, et al.. (2022). Quantification of extracellular proteins, protein complexes and mRNAs in single cells by proximity sequencing. Nature Methods. 19(12). 1578–1589. 25 indexed citations

11.

Roberto, Raphaël B. Di, Oanh T. P. Nguyen, Heinz Läubli, et al.. (2022). speedingCARs: accelerating the engineering of CAR T cells by signaling domain shuffling and single-cell sequencing. Nature Communications. 13(1). 6555–6555. 36 indexed citations

12.

Yermanos, Alexander, Chrysa Papadopoulou, Ioana Sandu, et al.. (2021). Platypus: an open-access software for integrating lymphocyte single-cell immune repertoires with transcriptomes. NAR Genomics and Bioinformatics. 3(2). lqab023–lqab023. 24 indexed citations

13.

Weber, Cédric R., Rahmad Akbar, Alexander Yermanos, et al.. (2020). immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking. Bioinformatics. 36(11). 3594–3596. 39 indexed citations

14.

Welten, Suzanne P. M., Alexander Yermanos, Nicolas S. Baumann, et al.. (2020). Tcf1+ cells are required to maintain the inflationary T cell pool upon MCMV infection. Nature Communications. 11(1). 2295–2295. 34 indexed citations

15.

D’Amico, Lucia, Ulrike Menzel, Michael Prummer, et al.. (2019). A novel anti-HER2 anthracycline-based antibody-drug conjugate induces adaptive anti-tumor immunity and potentiates PD-1 blockade in breast cancer. Journal for ImmunoTherapy of Cancer. 7(1). 16–16. 89 indexed citations

16.

Khan, Tarik A., et al.. (2016). Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting. Science Advances. 2(3). e1501371–e1501371. 87 indexed citations

17.

Müller, Philipp, Matthias Kreuzaler, Tarik A. Khan, et al.. (2015). Trastuzumab emtansine (T-DM1) renders HER2 ⁺ breast cancer highly susceptible to CTLA-4/PD-1 blockade. Science Translational Medicine. 7(315). 315ra188–315ra188. 269 indexed citations

18.

Ippolito, Gregory C., Kam Hon Hoi, Sai T. Reddy, et al.. (2012). Antibody Repertoires in Humanized NOD-scid-IL2Rγnull Mice and Human B Cells Reveals Human-Like Diversification and Tolerance Checkpoints in the Mouse. PLoS ONE. 7(4). e35497–e35497. 54 indexed citations

19.

Lim, Hwee Ying, Joseph M. Rutkowski, Julie Helft, et al.. (2009). Hypercholesterolemic Mice Exhibit Lymphatic Vessel Dysfunction and Degeneration. American Journal Of Pathology. 175(3). 1328–1337. 137 indexed citations

20.

Farnan, Jeanne M., John Paro, Robert M. Rodriguez, et al.. (2009). Hand-off Education and Evaluation: Piloting the Observed Simulated Hand-off Experience (OSHE). Journal of General Internal Medicine. 25(2). 129–134. 91 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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