Kiran Musunuru

14.7k total citations · 9 hit papers
112 papers, 7.3k citations indexed

About

Kiran Musunuru is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kiran Musunuru has authored 112 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 30 papers in Genetics and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kiran Musunuru's work include CRISPR and Genetic Engineering (47 papers), Pluripotent Stem Cells Research (13 papers) and Virus-based gene therapy research (12 papers). Kiran Musunuru is often cited by papers focused on CRISPR and Genetic Engineering (47 papers), Pluripotent Stem Cells Research (13 papers) and Virus-based gene therapy research (12 papers). Kiran Musunuru collaborates with scholars based in United States, Canada and China. Kiran Musunuru's co-authors include Rajat Gupta, Sekar Kathiresan, Robert B. Darnell, Xiao Wang, Chad A. Cowan, Qiurong Ding, Alexandra C. Chadwick, Bridget S. Gosis, Alanna Strong and Michael E. Talkowski and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kiran Musunuru

106 papers receiving 7.2k citations

Hit Papers

Circular non-coding RNA ANRIL modulates ribosomal RNA mat... 2014 2026 2018 2022 2016 2016 2014 2022 2014 250 500 750
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.

  1. Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans
    2016 857 citations Kiran Musunuru et al. Nature Communications profile →
  2. A dual AAV system enables the Cas9-mediated correction of a metabolic liver disease in newborn mice
    2016 433 citations Kiran Musunuru et al. Nature Biotechnology profile →
  3. Permanent Alteration of PCSK9 With In Vivo CRISPR-Cas9 Genome Editing
    2014 402 citations Alanna Strong, Daniel J. Rader et al. profile →
  4. Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins
    2022 397 citations Samagya Banskota, Aditya Raguram et al. Cell profile →
  5. Efficient Ablation of Genes in Human Hematopoietic Stem and Effector Cells using CRISPR/Cas9
    2014 379 citations Kiran Musunuru et al. profile →
  6. Genetic Testing for Inherited Cardiovascular Diseases: A Scientific Statement From the American Heart Association
    2020 211 citations Kiran Musunuru, Ray E. Hershberger et al. Circulation Genomic and Precision Medicine profile →
  7. Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editors
    2022 117 citations Jessie R. Davis, Xiao Wang et al. Nature Biomedical Engineering profile →
  8. Efficient prime editing in mouse brain, liver and heart with dual AAVs
    2023 114 citations Jessie R. Davis, Samagya Banskota et al. Nature Biotechnology profile →
  9. GalNAc-Lipid nanoparticles enable non-LDLR dependent hepatic delivery of a CRISPR base editing therapy
    2023 93 citations Alexandra C. Chadwick, Kiran Musunuru et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiran Musunuru United States 39 5.6k 1.7k 1.2k 1.1k 741 112 7.3k
Bin Shen China 38 8.2k 1.5× 783 0.5× 126 0.1× 3.2k 2.9× 475 0.6× 156 9.3k
Qing Gao China 37 6.8k 1.2× 1.5k 0.9× 191 0.2× 253 0.2× 590 0.8× 105 9.1k
Zuzana Tóthová United States 23 6.5k 1.2× 705 0.4× 119 0.1× 700 0.6× 226 0.3× 47 8.4k
Yuwen Chen China 19 3.8k 0.7× 506 0.3× 152 0.1× 748 0.7× 124 0.2× 78 4.6k
Wenbin Ma China 39 3.3k 0.6× 667 0.4× 98 0.1× 548 0.5× 183 0.2× 184 5.1k
Wonhee Jang South Korea 25 3.3k 0.6× 2.1k 1.3× 241 0.2× 786 0.7× 378 0.5× 96 5.9k
Xiwei Wu United States 53 7.1k 1.3× 1.3k 0.8× 117 0.1× 2.7k 2.5× 442 0.6× 211 9.9k
Andrea Ventura United States 30 6.4k 1.2× 697 0.4× 139 0.1× 4.0k 3.7× 354 0.5× 55 8.4k
Jennifer M. Lee United States 20 3.1k 0.6× 2.1k 1.3× 250 0.2× 883 0.8× 216 0.3× 47 5.3k
Christian Beauséjour Canada 25 5.1k 0.9× 1.2k 0.7× 99 0.1× 571 0.5× 274 0.4× 57 7.5k

Countries citing papers authored by Kiran Musunuru

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Musunuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Musunuru

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

All Works

20 of 20 papers shown
1.
Urnov, Fyodor D., Sadik H. Kassim, Kiran Musunuru, et al.. (2025). Advancing gene-editing platforms to improve the viability of rare-disease therapeutics: key insights from a 2024 Scientific Exchange hosted by ARM, ISCT, and Danaher. Cytotherapy. 27(10). 1151–1163. 2 indexed citations
2.
Whittaker, Madelynn N., Lauren Testa, Hooda Said, et al.. (2025). Improved specificity and efficiency of in vivo adenine base editing therapies with hybrid guide RNAs. Nature Biomedical Engineering. 1 indexed citations
3.
4.
Kassim, Sadik H., Fyodor D. Urnov, Kiran Musunuru, et al.. (2025). Platform solutions for commercial challenges to expanding patient access and making gene editing sustainable. Nature Biotechnology. 43(7). 1047–1049. 2 indexed citations
5.
Allyse, Megan, Yvonne Bombard, Rosario Isasi, et al.. (2025). Building Better Medicine: Translational Justice and the Quest for Equity in US Healthcare. The American Journal of Bioethics. 25(6). 11–25. 3 indexed citations
6.
Gawronski, Katerina A.B., William P. Bone, YoSon Park, et al.. (2023). Evaluating the Contribution of Cell Type–Specific Alternative Splicing to Variation in Lipid Levels. Circulation Genomic and Precision Medicine. 16(3). 248–257. 2 indexed citations
7.
Musunuru, Kiran, et al.. (2023). A common coding variant in BAG3 protects from heart failure. Nature Cardiovascular Research. 2(7). 609–610. 1 indexed citations
8.
Davis, Jessie R., Samagya Banskota, Jonathan M. Levy, et al.. (2023). Efficient prime editing in mouse brain, liver and heart with dual AAVs. Nature Biotechnology. 42(2). 253–264. 114 indexed citations breakdown →
9.
Testa, Lauren & Kiran Musunuru. (2023). Base Editing and Prime Editing: Potential Therapeutic Options for Rare and Common Diseases. BioDrugs. 37(4). 453–462. 18 indexed citations
10.
Davis, Jessie R., Xiao Wang, Isaac P. Witte, et al.. (2022). Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editors. Nature Biomedical Engineering. 6(11). 1272–1283. 117 indexed citations breakdown →
11.
Banskota, Samagya, Aditya Raguram, Susie Suh, et al.. (2022). Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins. Cell. 185(2). 250–265.e16. 397 indexed citations breakdown →
12.
Bose, Sourav K., Brandon M. White, Meghana V. Kashyap, et al.. (2021). In utero adenine base editing corrects multi-organ pathology in a lethal lysosomal storage disease. Nature Communications. 12(1). 4291–4291. 44 indexed citations
13.
Musunuru, Kiran, Ray E. Hershberger, Sharlene M. Day, et al.. (2020). Genetic Testing for Inherited Cardiovascular Diseases: A Scientific Statement From the American Heart Association. Circulation Genomic and Precision Medicine. 13(4). e000067–e000067. 211 indexed citations breakdown →
14.
Alapati, Deepthi, William J. Zacharias, Heather A. Hartman, et al.. (2019). In utero gene editing for monogenic lung disease. Science Translational Medicine. 11(488). 79 indexed citations
15.
Lin, Jennie & Kiran Musunuru. (2018). From Genotype to Phenotype. Circulation Genomic and Precision Medicine. 11(2). 13 indexed citations
16.
Lin, Jennie, Donna Conlon, Xiao Wang, et al.. (2017). Abstract 18960: RNA-binding Protein A1CF Modulates Plasma Triglyceride Levels Through Transcriptomic Regulation of Stress-Induced VLDL Secretion. Circulation. 1 indexed citations
17.
Mital, Seema, Kiran Musunuru, Vidu Garg, et al.. (2016). Enhancing Literacy in Cardiovascular Genetics: A Scientific Statement From the American Heart Association. Circulation Cardiovascular Genetics. 9(5). 448–467. 57 indexed citations
18.
Strong, Alanna & Kiran Musunuru. (2016). Genome editing in cardiovascular diseases. Nature Reviews Cardiology. 14(1). 11–20. 61 indexed citations
19.
Zang, Julie B., E. D. Nosyreva, Corinne M. Spencer, et al.. (2009). A Mouse Model of the Human Fragile X Syndrome I304N Mutation. PLoS Genetics. 5(12). e1000758–e1000758. 104 indexed citations
20.
Lewis, H.A., Hua Chen, Ronald J. Buckanovich, et al.. (1999). Crystal structures of Nova-1 and Nova-2 K-homology RNA-binding domains. Structure. 7(2). 191–203. 100 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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