Siavash K. Kurdistani

10.2k total citations · 3 hit papers
62 papers, 7.2k citations indexed

About

Siavash K. Kurdistani is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Siavash K. Kurdistani has authored 62 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Oncology. Recurrent topics in Siavash K. Kurdistani's work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (20 papers) and Histone Deacetylase Inhibitors Research (11 papers). Siavash K. Kurdistani is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (20 papers) and Histone Deacetylase Inhibitors Research (11 papers). Siavash K. Kurdistani collaborates with scholars based in United States, Canada and China. Siavash K. Kurdistani's co-authors include Michael Grunstein, Saeed Tavazoie, Michael Grunstein, David B. Seligson, Steve Horvath, Sheila Tze, Hong‐Jeng Yu, Amy Wang, Daniel Robyr and Tao Shi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Siavash K. Kurdistani

61 papers receiving 7.2k citations

Hit Papers

Global histone modification patterns predict risk of pros... 2003 2026 2010 2018 2005 2005 2003 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
Siavash K. Kurdistani United States 38 6.1k 798 717 708 627 62 7.2k
Xiaobing Shi United States 48 7.1k 1.2× 868 1.1× 630 0.9× 573 0.8× 726 1.2× 104 8.2k
Jan Karlseder United States 42 7.3k 1.2× 876 1.1× 613 0.9× 564 0.8× 896 1.4× 67 9.4k
Akihiro Kurimasa Japan 36 4.8k 0.8× 1.6k 2.0× 1.2k 1.6× 468 0.7× 326 0.5× 90 6.3k
Qin Feng United States 36 4.9k 0.8× 932 1.2× 509 0.7× 758 1.1× 268 0.4× 98 6.3k
Kyle M. Miller United States 38 5.7k 0.9× 1.1k 1.4× 479 0.7× 418 0.6× 479 0.8× 74 6.2k
Xin Liu China 39 4.5k 0.7× 921 1.2× 957 1.3× 427 0.6× 388 0.6× 210 6.0k
Tatiana G. Kutateladze United States 54 8.8k 1.4× 1.2k 1.5× 559 0.8× 661 0.9× 750 1.2× 191 10.4k
Michiel Vermeulen Netherlands 53 10.5k 1.7× 1.1k 1.4× 1.0k 1.4× 1.3k 1.9× 583 0.9× 182 12.2k
Rui-Ming Xu China 42 6.3k 1.0× 480 0.6× 313 0.4× 546 0.8× 641 1.0× 88 7.1k
Or Gozani United States 57 9.6k 1.6× 1.2k 1.4× 839 1.2× 798 1.1× 522 0.8× 108 11.7k

Countries citing papers authored by Siavash K. Kurdistani

Since Specialization
Citations

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

Fields of papers citing papers by Siavash K. Kurdistani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siavash K. Kurdistani. 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 Siavash K. Kurdistani. The network helps show where Siavash K. Kurdistani may publish in the future.

Co-authorship network of co-authors of Siavash K. Kurdistani

This figure shows the co-authorship network connecting the top 25 collaborators of Siavash K. Kurdistani. A scholar is included among the top collaborators of Siavash K. Kurdistani 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 Siavash K. Kurdistani. Siavash K. Kurdistani 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.
Song, Yang, Jennifer Soto, Tyler Hoffman, et al.. (2022). Transient nuclear deformation primes epigenetic state and promotes cell reprogramming. Nature Materials. 21(10). 1191–1199. 76 indexed citations
2.
Attar, Narsis, Chen Cheng, Maria Vogelauer, et al.. (2021). A pathogenic role for histone H3 copper reductase activity in a yeast model of Friedreich’s ataxia. Science Advances. 7(51). eabj9889–eabj9889. 13 indexed citations
3.
Attar, Narsis, Maria Vogelauer, Chen Cheng, et al.. (2020). The histone H3-H4 tetramer is a copper reductase enzyme. Science. 369(6499). 59–64. 72 indexed citations
4.
Park, Jung Wook, John K. Lee, Katherine M. Sheu, et al.. (2018). Reprogramming normal human epithelial tissues to a common, lethal neuroendocrine cancer lineage. Science. 362(6410). 91–95. 203 indexed citations
5.
Sun, Fei, Constantinos Chronis, Xiao‐Fen Chen, et al.. (2018). Promoter-Enhancer Communication Occurs Primarily within Insulated Neighborhoods. Molecular Cell. 73(2). 250–263.e5. 59 indexed citations
6.
Xue, Yong, Suman Pradhan, Fei Sun, et al.. (2017). Mot1, Ino80C, and NC2 Function Coordinately to Regulate Pervasive Transcription in Yeast and Mammals. Molecular Cell. 67(4). 594–607.e4. 33 indexed citations
7.
Wang, Wenyuan, Tõnis Org, Amélie Montel‐Hagen, et al.. (2016). MEF2C protects bone marrow B-lymphoid progenitors during stress haematopoiesis. Nature Communications. 7(1). 12376–12376. 23 indexed citations
8.
Org, Tõnis, Dan Duan, Roberto Ferrari, et al.. (2015). Scl binds to primed enhancers in mesoderm to regulate hematopoietic and cardiac fate divergence. The EMBO Journal. 34(6). 759–777. 59 indexed citations
9.
Xue, Yong, Christopher Van, Suman Pradhan, et al.. (2015). The Ino80 complex prevents invasion of euchromatin into silent chromatin. Genes & Development. 29(4). 350–355. 36 indexed citations
10.
Kurdistani, Siavash K.. (2014). Chromatin: a capacitor of acetate for integrated regulation of gene expression and cell physiology. Current Opinion in Genetics & Development. 26. 53–58. 30 indexed citations
11.
Handel, Ben Van, Amélie Montel‐Hagen, Rajkumar Sasidharan, et al.. (2012). Scl Represses Cardiomyogenesis in Prospective Hemogenic Endothelium and Endocardium. Cell. 150(3). 590–605. 125 indexed citations
12.
Li, Jingyu, Michaela Patterson, Hanna Mikkola, William E. Lowry, & Siavash K. Kurdistani. (2012). Dynamic Distribution of Linker Histone H1.5 in Cellular Differentiation. PLoS Genetics. 8(8). e1002879–e1002879. 67 indexed citations
13.
Su, Trent, Roberto Ferrari, Bing Li, et al.. (2011). Genome-Wide Binding Map of the HIV-1 Tat Protein to the Human Genome. PLoS ONE. 6(11). e26894–e26894. 35 indexed citations
14.
Seligson, David B., Steve Horvath, Matthew A. McBrian, et al.. (2009). Global Levels of Histone Modifications Predict Prognosis in Different Cancers. American Journal Of Pathology. 174(5). 1619–1628. 378 indexed citations
15.
Keogh, Michael‐Christopher, Siavash K. Kurdistani, Stephanie A. Morris, et al.. (2005). Cotranscriptional Set2 Methylation of Histone H3 Lysine 36 Recruits a Repressive Rpd3 Complex. Cell. 123(4). 593–605. 633 indexed citations breakdown →
16.
Kim, Kyung‐Tae, Pat P. Ongusaha, Young‐Kwon Hong, et al.. (2004). Function of Drg1/Rit42 in p53-dependent Mitotic Spindle Checkpoint. Journal of Biological Chemistry. 279(37). 38597–38602. 52 indexed citations
17.
Kurdistani, Siavash K.. (2003). In vivo protein–protein and protein–DNA crosslinking for genomewide binding microarray. Methods. 31(1). 90–95. 107 indexed citations
18.
Wang, Amy, Siavash K. Kurdistani, & Michael Grunstein. (2002). Requirement of Hos2 Histone Deacetylase for Gene Activity in Yeast. Science. 298(5597). 1412–1414. 219 indexed citations
19.
Robyr, Daniel, Ioannis Xénarios, Siavash K. Kurdistani, et al.. (2002). Microarray Deacetylation Maps Determine Genome-Wide Functions for Yeast Histone Deacetylases. Cell. 109(4). 437–446. 371 indexed citations
20.
Kurdistani, Siavash K., et al.. (1998). Inhibition of tumor cell growth by RTP/rit42 and its responsiveness to p53 and DNA damage.. PubMed. 58(19). 4439–44. 225 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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