Sakthi D. Moorthy

498 total citations
9 papers, 283 citations indexed

About

Sakthi D. Moorthy is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Sakthi D. Moorthy has authored 9 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Genetics. Recurrent topics in Sakthi D. Moorthy's work include Genomics and Chromatin Dynamics (7 papers), Pluripotent Stem Cells Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Sakthi D. Moorthy is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Pluripotent Stem Cells Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Sakthi D. Moorthy collaborates with scholars based in Canada, France and Netherlands. Sakthi D. Moorthy's co-authors include Jennifer A. Mitchell, Gurdeep Singh, Lida Langroudi, Neil Macpherson, Scott Davidson, Alexandre Martchenko, Vincent So, Ryan Dale, Apratim Mitra and Zhenyu Zuo and has published in prestigious journals such as Nature Genetics, Genes & Development and Genome Research.

In The Last Decade

Sakthi D. Moorthy

9 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sakthi D. Moorthy Canada	7	264	48	33	16	10	9	283
Maria J.E. Koster Netherlands	5	243 0.9×	30 0.6×	23 0.7×	10 0.6×	14 1.4×	5	265
Long Vo Ngoc United States	7	266 1.0×	27 0.6×	41 1.2×	16 1.0×	20 2.0×	8	311
Beth Moorefield United States	7	405 1.5×	43 0.9×	28 0.8×	18 1.1×	10 1.0×	14	424
Josef Redolfi Germany	6	360 1.4×	74 1.5×	46 1.4×	9 0.6×	17 1.7×	6	379
Anitha Nair United Kingdom	6	288 1.1×	42 0.9×	20 0.6×	10 0.6×	22 2.2×	6	311
Gergely Tihanyi United States	5	303 1.1×	48 1.0×	36 1.1×	9 0.6×	16 1.6×	7	324
Christoph Neumayr Austria	4	205 0.8×	27 0.6×	27 0.8×	12 0.8×	8 0.8×	8	220
Delphine Grün Switzerland	5	136 0.5×	50 1.0×	22 0.7×	8 0.5×	14 1.4×	7	155
Kian Hong Kock United States	3	218 0.8×	66 1.4×	30 0.9×	18 1.1×	23 2.3×	3	259
Laxmi Mishra United States	6	147 0.6×	31 0.6×	27 0.8×	11 0.7×	11 1.1×	9	171

Countries citing papers authored by Sakthi D. Moorthy

Since Specialization

Citations

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

Fields of papers citing papers by Sakthi D. Moorthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sakthi D. Moorthy. 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 Sakthi D. Moorthy. The network helps show where Sakthi D. Moorthy may publish in the future.

Co-authorship network of co-authors of Sakthi D. Moorthy

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

All Works

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9 of 9 papers shown

1.

Moorthy, Sakthi D., et al.. (2025). A Sox2 enhancer cluster regulates region-specific neural fates from mouse embryonic stem cells. G3 Genes Genomes Genetics. 15(4). 2 indexed citations

2.

Zuo, Zhenyu, Parirokh Awasthi, Raj Chari, et al.. (2023). Enhancer–promoter interactions can bypass CTCF-mediated boundaries and contribute to phenotypic robustness. Nature Genetics. 55(2). 280–290. 52 indexed citations

3.

Macpherson, Neil, Sakthi D. Moorthy, Lida Langroudi, et al.. (2022). Transcriptional regulation and chromatin architecture maintenance are decoupled functions at the Sox2 locus. Genes & Development. 36(11-12). 699–717. 20 indexed citations

4.

Singh, Gurdeep, Sakthi D. Moorthy, Richard Zhang, et al.. (2021). A flexible repertoire of transcription factor binding sites and a diversity threshold determines enhancer activity in embryonic stem cells. Genome Research. 31(4). 564–575. 30 indexed citations

5.

Moorthy, Sakthi D., et al.. (2020). Transcriptional enhancers: from prediction to functional assessment on a genome-wide scale. Genome. 64(4). 426–448. 15 indexed citations

6.

Moorthy, Sakthi D. & Jennifer A. Mitchell. (2016). Generating CRISPR/Cas9 Mediated Monoallelic Deletions to Study Enhancer Function in Mouse Embryonic Stem Cells. Journal of Visualized Experiments. e53552–e53552. 11 indexed citations

7.

Moorthy, Sakthi D., Scott Davidson, Gurdeep Singh, et al.. (2016). Enhancers and super-enhancers have an equivalent regulatory role in embryonic stem cells through regulation of single or multiple genes. Genome Research. 27(2). 246–258. 138 indexed citations

8.

Moorthy, Sakthi D. & Jennifer A. Mitchell. (2016). Generating CRISPR/Cas9 Mediated Monoallelic Deletions to Study Enhancer Function in Mouse Embryonic Stem Cells. Journal of Visualized Experiments. 3 indexed citations

9.

Singh, Gurdeep, Lida Langroudi, Navroop K. Dhaliwal, et al.. (2015). Chromatin Dynamics in Lineage Commitment and Cellular Reprogramming. Genes. 6(3). 641–661. 12 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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