Nicholas Shukeir

1.9k total citations
17 papers, 1.4k citations indexed

About

Nicholas Shukeir is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Nicholas Shukeir has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Nicholas Shukeir's work include Cancer-related gene regulation (9 papers), Genomics and Chromatin Dynamics (8 papers) and Epigenetics and DNA Methylation (6 papers). Nicholas Shukeir is often cited by papers focused on Cancer-related gene regulation (9 papers), Genomics and Chromatin Dynamics (8 papers) and Epigenetics and DNA Methylation (6 papers). Nicholas Shukeir collaborates with scholars based in Germany, Canada and United States. Nicholas Shukeir's co-authors include Shafaat A. Rabbani, Thomas Jenuwein, Gaoping Chen, Anil Potti, David Goltzman, Kanishka Sircar, Armen Aprikian, Moshe Szyf, Monika Lachner and Gerhard Mittler and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nicholas Shukeir

16 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Shukeir Germany 14 1.2k 198 185 167 142 17 1.4k
Amanda C. Nottke United States 8 1.8k 1.5× 52 0.3× 205 1.1× 97 0.6× 202 1.4× 8 1.9k
Andrei Kuzmichev United States 9 2.6k 2.2× 83 0.4× 264 1.4× 204 1.2× 373 2.6× 9 2.9k
Capucine Van Rechem United States 19 1.8k 1.5× 108 0.5× 308 1.7× 100 0.6× 158 1.1× 30 2.0k
Constantinos Chronis United States 18 1.6k 1.4× 42 0.2× 243 1.3× 148 0.9× 280 2.0× 27 1.9k
Dan Hasson United States 20 1.4k 1.1× 58 0.3× 184 1.0× 404 2.4× 247 1.7× 38 1.6k
Inti A. De La Rosa-Velázquez Mexico 14 1.4k 1.2× 48 0.2× 400 2.2× 173 1.0× 163 1.1× 23 1.6k
Yipin Wu United States 15 818 0.7× 52 0.3× 165 0.9× 50 0.3× 77 0.5× 17 1000
Laura Riva Italy 14 789 0.7× 69 0.3× 188 1.0× 25 0.1× 108 0.8× 33 1.0k
Wojciech Michowski United States 16 817 0.7× 85 0.4× 150 0.8× 39 0.2× 82 0.6× 20 1.1k
Shichong Liu United States 13 1.1k 1.0× 54 0.3× 125 0.7× 43 0.3× 125 0.9× 17 1.3k

Countries citing papers authored by Nicholas Shukeir

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Shukeir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Shukeir

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

All Works

17 of 17 papers shown
1.
Shukeir, Nicholas, Reagan W. Ching, Galina Erikson, et al.. (2025). The isoflavone genistein selectively stimulates major satellite repeat transcription in mouse heterochromatin. Epigenetics & Chromatin. 18(1). 58–58.
2.
Brown, Megan, Stephen Meek, Thomas Montavon, et al.. (2024). MeCP2 binds to methylated DNA independently of phase separation and heterochromatin organisation. Nature Communications. 15(1). 3880–3880. 13 indexed citations
3.
Montavon, Thomas, Nicholas Shukeir, Galina Erikson, et al.. (2021). Complete loss of H3K9 methylation dissolves mouse heterochromatin organization. Nature Communications. 12(1). 4359–4359. 66 indexed citations
4.
Duda, Katarzyna, Reagan W. Ching, Nicholas Shukeir, et al.. (2021). m6A RNA methylation of major satellite repeat transcripts facilitates chromatin association and RNA:DNA hybrid formation in mouse heterochromatin. Nucleic Acids Research. 49(10). 5568–5587. 24 indexed citations
5.
Pinto, Hugo, Laxmi Mishra, Justin C. Wheat, et al.. (2020). H1 linker histones silence repetitive elements by promoting both histone H3K9 methylation and chromatin compaction. Proceedings of the National Academy of Sciences. 117(25). 14251–14258. 53 indexed citations
6.
Camacho, Oscar Velázquez, Carmen del Arco, Reagan W. Ching, et al.. (2017). Major satellite repeat RNA stabilize heterochromatin retention of Suv39h enzymes by RNA-nucleosome association and RNA:DNA hybrid formation. eLife. 6. 131 indexed citations
7.
Shukeir, Nicholas, et al.. (2015). Pharmacological methyl group donors block skeletal metastasis in vitro and in vivo. British Journal of Pharmacology. 172(11). 2769–2781. 31 indexed citations
8.
Pinheiro, Inês, Raphaël Margueron, Nicholas Shukeir, et al.. (2012). Prdm3 and Prdm16 are H3K9me1 Methyltransferases Required for Mammalian Heterochromatin Integrity. Cell. 150(5). 948–960. 249 indexed citations
9.
Bulut-Karslıoğlu, Aydan, Valentina Perrera, Inti A. De La Rosa-Velázquez, et al.. (2012). A transcription factor–based mechanism for mouse heterochromatin formation. Nature Structural & Molecular Biology. 19(10). 1023–1030. 138 indexed citations
10.
Jin, Chunyu, Jing Li, Christopher D. Green, et al.. (2011). Histone Demethylase UTX-1 Regulates C. elegans Life Span by Targeting the Insulin/IGF-1 Signaling Pathway. Cell Metabolism. 14(2). 161–172. 182 indexed citations
11.
Fodor, Barna D., Nicholas Shukeir, Günter Reuter, & Thomas Jenuwein. (2010). Mammalian Su(var) Genes in Chromatin Control. Annual Review of Cell and Developmental Biology. 26(1). 471–501. 85 indexed citations
12.
Shukeir, Nicholas, Pouya Pakneshan, Gaoping Chen, Moshe Szyf, & Shafaat A. Rabbani. (2006). Alteration of the Methylation Status of Tumor-Promoting Genes Decreases Prostate Cancer Cell Invasiveness and Tumorigenesis In vitro and In vivo. Cancer Research. 66(18). 9202–9210. 124 indexed citations
13.
Shukeir, Nicholas, Seema V. Garde, Jinzi J. Wu, Chandra J. Panchal, & Shafaat A. Rabbani. (2005). Prostate secretory protein of 94 amino acids (PSP-94) and its peptide (PCK3145) as potential therapeutic modalities for prostate cancer. Anti-Cancer Drugs. 16(10). 1045–1051. 11 indexed citations
14.
Shukeir, Nicholas, et al.. (2005). Molecular markers of metastases in advanced stage adenocarcinoma of the prostate. Journal of Clinical Oncology. 23(16_suppl). 9672–9672. 1 indexed citations
15.
Chen, Gaoping, Nicholas Shukeir, Anil Potti, et al.. (2004). Expression of Concern: Up‐regulation of Wnt‐1 and β‐catenin production in patients with advanced metastatic prostate carcinoma. Cancer. 101(6). 1345–1356. 240 indexed citations
16.
Shukeir, Nicholas, Ani Arakelian, Gaoping Chen, et al.. (2004). A Synthetic 15-mer Peptide (PCK3145) Derived from Prostate Secretory Protein Can Reduce Tumor Growth, Experimental Skeletal Metastases, and Malignancy-Associated Hypercalcemia. Cancer Research. 64(15). 5370–5377. 34 indexed citations
17.
Shukeir, Nicholas, Ani Arakelian, Salam Kadhim, Seema V. Garde, & Shafaat A. Rabbani. (2003). Prostate secretory protein PSP-94 decreases tumor growth and hypercalcemia of malignancy in a syngenic in vivo model of prostate cancer.. PubMed. 63(9). 2072–8. 61 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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