Sowmya Iyer

4.6k total citations · 2 hit papers
18 papers, 2.2k citations indexed

About

Sowmya Iyer is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sowmya Iyer has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Sowmya Iyer's work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and RNA regulation and disease (3 papers). Sowmya Iyer is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and RNA regulation and disease (3 papers). Sowmya Iyer collaborates with scholars based in United States, Switzerland and Portugal. Sowmya Iyer's co-authors include Sara P. Garcia, J. Keith Joung, Ronghao Zhou, Julian Grünewald, Martin J. Aryee, Caleb A. Lareau, Miguel N. Rivera, Nicolò Riggi, Angela Volorio and Gaylor Boulay and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Sowmya Iyer

18 papers receiving 2.2k citations

Hit Papers

Transcriptome-wide off-target RNA editing induced by CRIS... 2019 2026 2021 2023 2019 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sowmya Iyer United States 14 2.0k 465 200 159 158 18 2.2k
Henriette O’Geen United States 28 2.4k 1.2× 527 1.1× 275 1.4× 139 0.9× 118 0.7× 43 2.7k
Cem Kuscu United States 19 2.0k 1.0× 301 0.6× 181 0.9× 108 0.7× 378 2.4× 39 2.4k
Quan Ho United States 6 1.4k 0.7× 266 0.6× 104 0.5× 55 0.3× 141 0.9× 6 1.6k
Russell C. DeKelver United States 15 2.0k 1.0× 673 1.4× 183 0.9× 60 0.4× 179 1.1× 29 2.2k
Joana A. Vidigal United States 12 1.5k 0.7× 267 0.6× 87 0.4× 112 0.7× 178 1.1× 16 1.8k
Mitchell L. Leibowitz United States 8 1.0k 0.5× 425 0.9× 252 1.3× 46 0.3× 130 0.8× 9 1.3k
Paul Datlinger Austria 11 1.6k 0.8× 242 0.5× 44 0.2× 170 1.1× 215 1.4× 14 1.8k
Martin R.G. Taylor United Kingdom 8 1.6k 0.8× 243 0.5× 137 0.7× 40 0.3× 452 2.9× 9 1.7k
Chen-Hao Chen United States 9 1.0k 0.5× 127 0.3× 66 0.3× 117 0.7× 153 1.0× 13 1.2k
Maria Jasin United States 19 2.8k 1.4× 860 1.8× 375 1.9× 123 0.8× 720 4.6× 23 3.2k

Countries citing papers authored by Sowmya Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Sowmya Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sowmya Iyer

This figure shows the co-authorship network connecting the top 25 collaborators of Sowmya Iyer. A scholar is included among the top collaborators of Sowmya Iyer 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 Sowmya Iyer. Sowmya Iyer 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.
Sanalkumar, Rajendran, Rui Dong, Yu‐Hang Xing, et al.. (2023). Highly connected 3D chromatin networks established by an oncogenic fusion protein shape tumor cell identity. Science Advances. 9(13). 17 indexed citations
2.
Boieri, Margherita, Emanuela Marchese, Mary E. Awad, et al.. (2022). CD4+ T helper 2 cells suppress breast cancer by inducing terminal differentiation. The Journal of Experimental Medicine. 219(7). 46 indexed citations
3.
Oliveira, Mariana L., Elaine G. Garcia, Sowmya Iyer, et al.. (2022). Mutant IL7R collaborates with MYC to induce T-cell acute lymphoblastic leukemia. Leukemia. 36(6). 1533–1540. 6 indexed citations
4.
Tak, Y. Esther, Gaylor Boulay, Sowmya Iyer, et al.. (2022). Genome-wide functional perturbation of human microsatellite repeats using engineered zinc finger transcription factors. Cell Genomics. 2(4). 100119–100119. 7 indexed citations
5.
Tak, Y. Esther, Joy E. Horng, Nicholas T. Perry, et al.. (2021). Augmenting and directing long-range CRISPR-mediated activation in human cells. Nature Methods. 18(9). 1075–1081. 19 indexed citations
6.
Zhou, Ronghao, et al.. (2020). CRISPR C-to-G base editors for inducing targeted DNA transversions in human cells. Nature Biotechnology. 39(1). 41–46. 405 indexed citations breakdown →
7.
Grünewald, Julian, Ronghao Zhou, Caleb A. Lareau, et al.. (2020). A dual-deaminase CRISPR base editor enables concurrent adenine and cytosine editing. Nature Biotechnology. 38(7). 861–864. 190 indexed citations
8.
Grünewald, Julian, Ronghao Zhou, Sowmya Iyer, et al.. (2019). CRISPR DNA base editors with reduced RNA off-target and self-editing activities. Nature Biotechnology. 37(9). 1041–1048. 242 indexed citations
9.
Grünewald, Julian, Ronghao Zhou, Sara P. Garcia, et al.. (2019). Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors. Nature. 569(7756). 433–437. 462 indexed citations breakdown →
10.
Dunford, Andrew, Sowmya Iyer, Chip Stewart, et al.. (2019). A (fire)cloud-based DNA methylation data preprocessing and quality control platform. BMC Bioinformatics. 20(1). 160–160. 5 indexed citations
11.
Boulay, Gaylor, Angela Volorio, Sowmya Iyer, et al.. (2018). Epigenome editing of microsatellite repeats defines tumor-specific enhancer functions and dependencies. Genes & Development. 32(15-16). 1008–1019. 44 indexed citations
12.
Garcia, Elaine G., Sowmya Iyer, Sara P. Garcia, et al.. (2018). Cell of origin dictates aggression and stem cell number in acute lymphoblastic leukemia. Leukemia. 32(8). 1860–1865. 12 indexed citations
13.
Hayes, Madeline N., Karin M. McCarthy, Mariana L. Oliveira, et al.. (2018). Vangl2/RhoA Signaling Pathway Regulates Stem Cell Self-Renewal Programs and Growth in Rhabdomyosarcoma. Cell stem cell. 22(3). 414–427.e6. 50 indexed citations
14.
Tang, Qin, Sowmya Iyer, Riadh Lobbardi, et al.. (2017). Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing. The Journal of Experimental Medicine. 214(10). 2875–2887. 141 indexed citations
15.
Boulay, Gaylor, Mary E. Awad, Nicolò Riggi, et al.. (2017). OTX2 Activity at Distal Regulatory Elements Shapes the Chromatin Landscape of Group 3 Medulloblastoma. Cancer Discovery. 7(3). 288–301. 50 indexed citations
16.
Boulay, Gaylor, Gabriel J. Sandoval, Nicolò Riggi, et al.. (2017). Cancer-Specific Retargeting of BAF Complexes by a Prion-like Domain. Cell. 171(1). 163–178.e19. 306 indexed citations
17.
Babcock, Gregory J., Sowmya Iyer, Heidi L. Smith, et al.. (2014). High-Throughput Sequencing Analysis of Post-Liver Transplantation HCV E2 Glycoprotein Evolution in the Presence and Absence of Neutralizing Monoclonal Antibody. PLoS ONE. 9(6). e100325–e100325. 18 indexed citations
18.
Wang, Jie, Jiali Zhuang, Sowmya Iyer, et al.. (2012). Factorbook.org: a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium. Nucleic Acids Research. 41(D1). D171–D176. 209 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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