Shuchi Agrawal‐Singh

1.6k total citations
12 papers, 758 citations indexed

About

Shuchi Agrawal‐Singh is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Shuchi Agrawal‐Singh has authored 12 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Cancer Research. Recurrent topics in Shuchi Agrawal‐Singh's work include Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Genomics and Chromatin Dynamics (4 papers). Shuchi Agrawal‐Singh is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Genomics and Chromatin Dynamics (4 papers). Shuchi Agrawal‐Singh collaborates with scholars based in Denmark, United Kingdom and Germany. Shuchi Agrawal‐Singh's co-authors include Klaus Hansen, Mads Lerdrup, Jens Vilstrup Johansen, Kristian Helin, Nikolaj Dietrich, Nicolaj S. Christophersen, Harmen J.G. van de Werken, Eskild Landt, Erik Södersten and Mads Bak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shuchi Agrawal‐Singh

12 papers receiving 752 citations

Peers

Shuchi Agrawal‐Singh
Eric W. Mills United States
Sara R. Fagerlie United States
Jesse V. Kurland United States
Dáša Longman United Kingdom
Eric W. Mills United States
Shuchi Agrawal‐Singh
Citations per year, relative to Shuchi Agrawal‐Singh Shuchi Agrawal‐Singh (= 1×) peers Eric W. Mills

Countries citing papers authored by Shuchi Agrawal‐Singh

Since Specialization
Citations

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

Fields of papers citing papers by Shuchi Agrawal‐Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuchi Agrawal‐Singh. 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 Shuchi Agrawal‐Singh. The network helps show where Shuchi Agrawal‐Singh may publish in the future.

Co-authorship network of co-authors of Shuchi Agrawal‐Singh

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

All Works

12 of 12 papers shown
1.
Agrawal‐Singh, Shuchi, et al.. (2023). A guide to epigenetics in leukaemia stem cells. Molecular Oncology. 17(12). 2493–2506. 2 indexed citations
2.
Agrawal‐Singh, Shuchi, George Giotopoulos, Sarah J. Horton, et al.. (2022). HOXA9 forms a repressive complex with nuclear matrix–associated protein SAFB to maintain acute myeloid leukemia. Blood. 141(14). 1737–1754. 5 indexed citations
3.
Yun, Haiyang, Shabana Vohra, Annalisa Mupo, et al.. (2019). Mutational Synergy Coordinately Remodels Chromatin Accessibility, Enhancer Landscape and 3-Dimensional DNA Topology to Alter Gene Expression during Leukemia Induction. Blood. 134(Supplement_1). 278–278. 2 indexed citations
4.
Lu, Yongxu, et al.. (2019). Histone deacetylase 4 promotes type I interferon signaling, restricts DNA viruses, and is degraded via vaccinia virus protein C6. Proceedings of the National Academy of Sciences. 116(24). 11997–12006. 57 indexed citations
5.
Agrawal‐Singh, Shuchi, Mads Lerdrup, Harmen J.G. van de Werken, et al.. (2019). PLZF targets developmental enhancers for activation during osteogenic differentiation of human mesenchymal stem cells. eLife. 8. 39 indexed citations
6.
Lerdrup, Mads, Jens Vilstrup Johansen, Shuchi Agrawal‐Singh, & Klaus Hansen. (2016). An interactive environment for agile analysis and visualization of ChIP-sequencing data. Nature Structural & Molecular Biology. 23(4). 349–357. 166 indexed citations
7.
Montes, Marta, Morten M. Nielsen, Anders J. Skanderup, et al.. (2015). The lncRNA MIR31HG regulates p16INK4A expression to modulate senescence. Nature Communications. 6(1). 6967–6967. 147 indexed citations
8.
Dietrich, Nikolaj, Mads Lerdrup, Eskild Landt, et al.. (2012). REST–Mediated Recruitment of Polycomb Repressor Complexes in Mammalian Cells. PLoS Genetics. 8(3). e1002494–e1002494. 126 indexed citations
9.
Rohde, Christian, Katja Hebestreit, Hans‐Ulrich Klein, et al.. (2012). DNA methylation changes are a late event in acute promyelocytic leukemia and coincide with loss of transcription factor binding. Blood. 121(1). 178–187. 51 indexed citations
10.
Bäumer, Nicole, Lara Tickenbrock, Petra Tschanter, et al.. (2011). Inhibitor of Cyclin-dependent Kinase (CDK) Interacting with Cyclin A1 (INCA1) Regulates Proliferation and Is Repressed by Oncogenic Signaling. Journal of Biological Chemistry. 286(32). 28210–28222. 19 indexed citations
11.
Agrawal‐Singh, Shuchi, et al.. (2010). Polycomb Group Protein Displacement and Gene Activation through MSK-Dependent H3K27me3S28 Phosphorylation. Molecular Cell. 39(6). 886–900. 136 indexed citations
12.
Agrawal‐Singh, Shuchi, Steffen Koschmieder, Carol Stocking, et al.. (2010). Pim2 cooperates with PML-RARα to induce acute myeloid leukemia in a bone marrow transplantation model. Blood. 115(22). 4507–4516. 8 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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