Aditya Radhakrishnan

953 total citations
11 papers, 536 citations indexed

About

Aditya Radhakrishnan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Aditya Radhakrishnan has authored 11 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Aditya Radhakrishnan's work include RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers) and CAR-T cell therapy research (3 papers). Aditya Radhakrishnan is often cited by papers focused on RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers) and CAR-T cell therapy research (3 papers). Aditya Radhakrishnan collaborates with scholars based in United States and Switzerland. Aditya Radhakrishnan's co-authors include Rachel Green, Sophie Martin, Jeff Coller, Najwa Alhusaini, Sergej Djuranović, Julie L Brunelle, Anthony P. Schuller, Kristin S. Koutmou, Andreas Vitalis and Rohit V. Pappu and has published in prestigious journals such as Cell, Blood and Immunity.

In The Last Decade

Aditya Radhakrishnan

10 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditya Radhakrishnan United States 9 430 52 40 29 29 11 536
Conor J Howard United States 8 429 1.0× 55 1.1× 29 0.7× 38 1.3× 66 2.3× 13 555
Florence Maurier France 7 371 0.9× 40 0.8× 40 1.0× 22 0.8× 32 1.1× 11 458
Stéphane Frémont France 11 294 0.7× 58 1.1× 18 0.5× 26 0.9× 23 0.8× 14 518
Sarah Wälde Germany 10 538 1.3× 33 0.6× 31 0.8× 53 1.8× 42 1.4× 10 619
Rajesh Gaur United States 15 788 1.8× 29 0.6× 38 0.9× 38 1.3× 70 2.4× 44 908
Yana R. Musinova Russia 9 230 0.5× 27 0.5× 38 0.9× 14 0.5× 21 0.7× 21 301
Bicna Song United States 5 411 1.0× 42 0.8× 64 1.6× 8 0.3× 74 2.6× 6 490
David Cluet France 10 312 0.7× 44 0.8× 49 1.2× 41 1.4× 32 1.1× 18 471
Rosslyn Grosely United States 11 479 1.1× 47 0.9× 28 0.7× 81 2.8× 61 2.1× 20 658
Joshua C. Bufton United Kingdom 10 266 0.6× 67 1.3× 60 1.5× 12 0.4× 58 2.0× 17 365

Countries citing papers authored by Aditya Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Radhakrishnan

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

All Works

11 of 11 papers shown
1.
Radhakrishnan, Aditya, Naveena Yanamala, Ankush D. Jamthikar, et al.. (2025). Synthetic generation of cardiac tissue motion from surface electrocardiograms. Nature Cardiovascular Research. 4(4). 445–457.
2.
Yanamala, Naveena, Quincy A. Hathaway, Aditya Radhakrishnan, et al.. (2021). A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients. npj Digital Medicine. 4(1). 95–95. 23 indexed citations
3.
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5.
Trivedi, Nikita, Florian Weisel, Shuchi Smita, et al.. (2019). Liver Is a Generative Site for the B Cell Response to Ehrlichia muris. Immunity. 51(6). 1088–1101.e5. 42 indexed citations
6.
Johnstone, Timothy G., Aditya Radhakrishnan, Heidi H. Gillenwater, et al.. (2019). Lisocabtagene Maraleucel (liso-cel) Manufacturing Process Control and Robustness across CD19+ Hematological Malignancies. Blood. 134(Supplement_1). 593–593. 13 indexed citations
7.
Fang, Han, Yi-Fei Huang, Aditya Radhakrishnan, et al.. (2018). Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution. Cell Systems. 6(2). 180–191.e4. 31 indexed citations
8.
Radhakrishnan, Aditya & Rachel Green. (2016). Connections Underlying Translation and mRNA Stability. Journal of Molecular Biology. 428(18). 3558–3564. 88 indexed citations
9.
Radhakrishnan, Aditya, et al.. (2016). The DEAD-Box Protein Dhh1p Couples mRNA Decay and Translation by Monitoring Codon Optimality. Cell. 167(1). 122–132.e9. 192 indexed citations
10.
Koutmou, Kristin S., Anthony P. Schuller, Julie L Brunelle, et al.. (2015). Ribosomes slide on lysine-encoding homopolymeric A stretches. eLife. 4. 94 indexed citations
11.
Radhakrishnan, Aditya, et al.. (2012). Improved Atomistic Monte Carlo Simulations Demonstrate That Poly-l-Proline Adopts Heterogeneous Ensembles of Conformations of Semi-Rigid Segments Interrupted by Kinks. The Journal of Physical Chemistry B. 116(23). 6862–6871. 32 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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2026