Sukhdeep Singh

777 total citations
8 papers, 556 citations indexed

About

Sukhdeep Singh is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sukhdeep Singh has authored 8 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Sukhdeep Singh's work include Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (2 papers) and Genomics and Chromatin Dynamics (2 papers). Sukhdeep Singh is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related gene regulation (2 papers) and Genomics and Chromatin Dynamics (2 papers). Sukhdeep Singh collaborates with scholars based in United States, Germany and Australia. Sukhdeep Singh's co-authors include Adrianne E. Hardman, D. Eric Walters, A. Francis Stewart, Konstantinos Anastassiadis, Giovanni Ciotta, Helmut Hofemeister, Hendrik G. Stunnenberg, Sergei Denissov, Andrea Kranz and Hendrik Marks and has published in prestigious journals such as Genes & Development, The Journal of Cell Biology and Development.

In The Last Decade

Sukhdeep Singh

8 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukhdeep Singh United States 8 335 130 77 63 60 8 556
Chunheng Mo China 13 157 0.5× 78 0.6× 23 0.3× 62 1.0× 55 0.9× 38 478
N. D. Ryan United States 4 99 0.3× 20 0.2× 25 0.3× 52 0.8× 45 0.8× 5 386
Jeanette Bahr Germany 8 77 0.2× 18 0.1× 53 0.7× 48 0.8× 35 0.6× 18 343
Jennifer Doig United Kingdom 10 256 0.8× 50 0.4× 17 0.2× 66 1.0× 28 0.5× 14 353
Masanaga Muto Japan 12 362 1.1× 26 0.2× 33 0.4× 131 2.1× 30 0.5× 20 712
Emmanuelle Dallot France 16 163 0.5× 64 0.5× 15 0.2× 47 0.7× 52 0.9× 24 524
Enrique Ramos United States 12 287 0.9× 45 0.3× 8 0.1× 70 1.1× 23 0.4× 34 431
Milton L. Greenberg United States 10 94 0.3× 35 0.3× 29 0.4× 11 0.2× 79 1.3× 21 401
Stéphanie Lepage Canada 11 178 0.5× 13 0.1× 160 2.1× 30 0.5× 29 0.5× 14 427
Gaetano Bonifacio United States 13 282 0.8× 9 0.1× 62 0.8× 23 0.4× 71 1.2× 26 570

Countries citing papers authored by Sukhdeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sukhdeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukhdeep Singh

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

All Works

8 of 8 papers shown
1.
Singh, Sukhdeep, et al.. (2019). The Set1 complex is dimeric and acts with Jhd2 demethylation to convey symmetrical H3K4 trimethylation. Genes & Development. 33(9-10). 550–564. 19 indexed citations
2.
Tomizawa, Shin-ichi, Y. Kobayashi, Takayuki Shirakawa, et al.. (2018). Kmt2b conveys monovalent and bivalent H3K4me3 in mouse spermatogonial stem cells at germline and embryonic promoters. Development. 145(23). 30 indexed citations
3.
Singh, Sukhdeep, Marco Y. Hein, & A. Francis Stewart. (2016). msVolcano: A flexible web application for visualizing quantitative proteomics data. PROTEOMICS. 16(18). 2491–2494. 10 indexed citations
4.
Ding, Li, Maciej Paszkowski‐Rogacz, Maria Winzi, et al.. (2015). Systems Analyses Reveal Shared and Diverse Attributes of Oct4 Regulation in Pluripotent Cells. Cell Systems. 1(2). 141–151. 15 indexed citations
5.
Denissov, Sergei, Helmut Hofemeister, Hendrik Marks, et al.. (2014). Mll2 is required for H3K4 trimethylation on bivalent promoters in embryonic stem cells, whereas Mll1 is redundant. Development. 141(3). 526–537. 206 indexed citations
6.
Singh, Sukhdeep, et al.. (2010). Kismet/CHD7 regulates axon morphology, memory and locomotion in a Drosophila model of CHARGE syndrome. Human Molecular Genetics. 19(21). 4253–4264. 42 indexed citations
7.
Shortt, B. J., Emma Maxwell, Sukhdeep Singh, et al.. (2008). Coordinated regulation of AP2 uncoating from clathrin-coated vesicles by rab5 and hRME-6. The Journal of Cell Biology. 183(3). 499–511. 87 indexed citations
8.
Singh, Sukhdeep, et al.. (1993). Development of a Shuttle Walking Test of Disability in Patients with Chronic Airways Obstruction. Journal of Cardiopulmonary Rehabilitation. 13(3). 214–215. 147 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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