Dimple Notani

4.4k total citations · 2 hit papers
33 papers, 3.1k citations indexed

About

Dimple Notani is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Dimple Notani has authored 33 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Dimple Notani's work include Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (14 papers) and Epigenetics and DNA Methylation (7 papers). Dimple Notani is often cited by papers focused on Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (14 papers) and Epigenetics and DNA Methylation (7 papers). Dimple Notani collaborates with scholars based in India, United States and United Kingdom. Dimple Notani's co-authors include Michael G. Rosenfeld, Wenbo Li, Sanjeev Galande, Prabhat Kumar Purbey, Bogdan Tanasă, Xiaoyuan Song, P. Pavan Kumar, Kenneth A. Ohgi, Qi Ma and Ranveer Singh Jayani and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Dimple Notani

32 papers receiving 3.1k citations

Hit Papers

Functional roles of enhancer RNAs for oestrogen-dependent... 2013 2026 2017 2021 2013 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimple Notani India 18 2.5k 848 469 400 210 33 3.1k
Mira Jeong United States 28 2.8k 1.1× 593 0.7× 416 0.9× 763 1.9× 264 1.3× 47 4.1k
Fuchou Tang United Kingdom 6 2.6k 1.0× 1.1k 1.2× 276 0.6× 442 1.1× 270 1.3× 7 3.1k
Ashley Lau United States 8 2.8k 1.1× 710 0.8× 277 0.6× 304 0.8× 299 1.4× 10 3.2k
Xin Gao China 30 2.4k 1.0× 382 0.5× 414 0.9× 429 1.1× 301 1.4× 87 3.3k
Tilman Borggrefe Germany 31 2.5k 1.0× 388 0.5× 255 0.5× 464 1.2× 347 1.7× 63 3.3k
Warren A. Whyte United States 6 3.3k 1.3× 537 0.6× 410 0.9× 354 0.9× 240 1.1× 7 3.7k
Saïd Assou France 35 1.8k 0.7× 577 0.7× 443 0.9× 653 1.6× 248 1.2× 98 3.8k
Piotr J. Balwierz Switzerland 18 1.6k 0.7× 617 0.7× 210 0.4× 384 1.0× 373 1.8× 22 2.2k
Yasuhiro Murakawa Japan 23 2.5k 1.0× 559 0.7× 154 0.3× 320 0.8× 314 1.5× 51 3.0k
Suming Huang United States 32 2.9k 1.2× 523 0.6× 428 0.9× 346 0.9× 299 1.4× 95 3.5k

Countries citing papers authored by Dimple Notani

Since Specialization
Citations

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

Fields of papers citing papers by Dimple Notani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimple Notani

This figure shows the co-authorship network connecting the top 25 collaborators of Dimple Notani. A scholar is included among the top collaborators of Dimple Notani 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 Dimple Notani. Dimple Notani 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.
Notani, Dimple, et al.. (2025). Organization principles of dynamic three-dimensional genome architecture associated with centromere clustering states. Proceedings of the National Academy of Sciences. 122(50). e2520310122–e2520310122.
2.
Notani, Dimple, et al.. (2024). RNA fine-tunes estrogen receptor-alpha binding on low-affinity DNA motifs for transcriptional regulation. The EMBO Journal. 43(21). 5186–5210. 1 indexed citations
3.
Singh, Anurag Kumar, Radhakrishnan Sabarinathan, Jitendra Thakur, et al.. (2023). Active enhancers strengthen insulation by RNA-mediated CTCF binding at chromatin domain boundaries. Genome Research. 33(1). 1–17. 19 indexed citations
4.
Notani, Dimple, et al.. (2023). Transcription factor condensates and signaling driven transcription. Nucleus. 14(1). 2205758–2205758. 13 indexed citations
5.
Singh, Anurag Kumar, et al.. (2023). Cis‐regulatory effect of HPV integration is constrained by host chromatin architecture in cervical cancers. Molecular Oncology. 18(5). 1189–1208. 5 indexed citations
6.
Notani, Dimple. (2022). First glimpse of enhancers in gene regulation. Nature Reviews Genetics. 23(9). 522–523. 1 indexed citations
7.
Notani, Dimple, et al.. (2022). Transcriptional regulation of INK4/ARF locus by cis and trans mechanisms. Frontiers in Cell and Developmental Biology. 10. 948351–948351. 12 indexed citations
9.
Singh, Anurag Kumar, et al.. (2021). An interdependent network of functional enhancers regulates transcription and EZH2 loading at the INK4a/ARF locus. Cell Reports. 34(12). 108898–108898. 20 indexed citations
10.
Blobel, Gerd A., Douglas R. Higgs, Jennifer A. Mitchell, Dimple Notani, & Richard A. Young. (2021). Testing the super-enhancer concept. Nature Reviews Genetics. 22(12). 749–755. 61 indexed citations
11.
Notani, Dimple, et al.. (2021). Optimized protocol to create deletion in adherent cell lines using CRISPR/Cas9 system. STAR Protocols. 2(4). 100857–100857. 3 indexed citations
12.
Singh, Anurag Kumar, Ranveer Singh Jayani, Ashwin Nair, et al.. (2020). A rare variant of African ancestry activates 8q24 lncRNA hub by modulating cancer associated enhancer. Nature Communications. 11(1). 3598–3598. 32 indexed citations
13.
Gayen, Srimonta, et al.. (2020). Ligand dependent gene regulation by transient ERα clustered enhancers. PLoS Genetics. 16(1). e1008516–e1008516. 21 indexed citations
14.
Pattabiraman, Chitra, Reety Arora, Rekha V. Kumar, et al.. (2019). A SUV39H1-low chromatin state characterises and promotes migratory properties of cervical cancer cells. Experimental Cell Research. 378(2). 206–216. 10 indexed citations
15.
Li, Wenbo, Dimple Notani, & Michael G. Rosenfeld. (2016). Enhancers as non-coding RNA transcription units: recent insights and future perspectives. Nature Reviews Genetics. 17(4). 207–223. 503 indexed citations breakdown →
16.
Telese, Francesca, Qi Ma, Dimple Notani, et al.. (2015). LRP8-Reelin-Regulated Neuronal Enhancer Signature Underlying Learning and Memory Formation. Neuron. 86(3). 696–710. 119 indexed citations
17.
Skowronska‐Krawczyk, Dorota, Qi Ma, Michal Schwartz, et al.. (2014). Required enhancer–matrin-3 network interactions for a homeodomain transcription program. Nature. 514(7521). 257–261. 59 indexed citations
18.
Notani, Dimple, et al.. (2011). N-terminal PDZ-like domain of chromatin organizer SATB1 contributes towards its function as transcription regulator. Journal of Biosciences. 36(3). 461–469. 15 indexed citations
19.
Galande, Sanjeev, Prabhat Kumar Purbey, Dimple Notani, & P. Pavan Kumar. (2007). The third dimension of gene regulation: organization of dynamic chromatin loopscape by SATB1. Current Opinion in Genetics & Development. 17(5). 408–414. 140 indexed citations
20.
Kumar, P. Pavan, Prabhat Kumar Purbey, Chandan Kumar‐Sinha, et al.. (2006). Phosphorylation of SATB1, a Global Gene Regulator, Acts as a Molecular Switch Regulating Its Transcriptional Activity In Vivo. Molecular Cell. 22(2). 231–243. 143 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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