Mark R. Parthun

4.8k total citations
66 papers, 3.8k citations indexed

About

Mark R. Parthun is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Mark R. Parthun has authored 66 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Mark R. Parthun's work include Genomics and Chromatin Dynamics (40 papers), Epigenetics and DNA Methylation (20 papers) and Ubiquitin and proteasome pathways (19 papers). Mark R. Parthun is often cited by papers focused on Genomics and Chromatin Dynamics (40 papers), Epigenetics and DNA Methylation (20 papers) and Ubiquitin and proteasome pathways (19 papers). Mark R. Parthun collaborates with scholars based in United States, France and Canada. Mark R. Parthun's co-authors include Michael A. Freitas, Daniel E. Gottschling, Jonathan Widom, Song Qin, Liwen Zhang, Judith A. Jaehning, Xi Ai, Guido Marcucci, Sean W. Harshman and Nicolas L. Young and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mark R. Parthun

65 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark R. Parthun United States 33 3.4k 363 329 212 197 66 3.8k
Patrick Trojer United States 33 4.7k 1.4× 378 1.0× 454 1.4× 483 2.3× 318 1.6× 58 5.3k
Till Bartke Germany 22 2.4k 0.7× 137 0.4× 358 1.1× 238 1.1× 292 1.5× 30 2.7k
Fulai Jin United States 20 3.3k 1.0× 377 1.0× 254 0.8× 464 2.2× 329 1.7× 30 3.8k
Pascal W.T.C. Jansen Netherlands 26 2.6k 0.8× 117 0.3× 321 1.0× 265 1.3× 392 2.0× 55 3.0k
Aaron Aslanian United States 27 2.7k 0.8× 324 0.9× 722 2.2× 230 1.1× 302 1.5× 38 3.2k
Chie Kanei‐Ishii Japan 22 2.3k 0.7× 284 0.8× 530 1.6× 349 1.6× 297 1.5× 30 2.8k
Catherine A. Musselman United States 31 2.6k 0.8× 203 0.6× 219 0.7× 150 0.7× 101 0.5× 50 2.9k
Annette Kärcher Germany 12 2.2k 0.6× 178 0.5× 674 2.0× 325 1.5× 270 1.4× 16 2.8k
Chieri Tomomori‐Sato United States 19 1.9k 0.5× 223 0.6× 236 0.7× 237 1.1× 135 0.7× 24 2.3k
Anita Saraf United States 26 2.7k 0.8× 214 0.6× 443 1.3× 311 1.5× 277 1.4× 41 3.4k

Countries citing papers authored by Mark R. Parthun

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Parthun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Parthun. 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 Mark R. Parthun. The network helps show where Mark R. Parthun may publish in the future.

Co-authorship network of co-authors of Mark R. Parthun

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Parthun. A scholar is included among the top collaborators of Mark R. Parthun 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 Mark R. Parthun. Mark R. Parthun 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.
2.
Nagarajan, Prabakaran, Miranda L. Gardner, Meng Wang, et al.. (2021). Epigenetic regulation of nuclear lamina-associated heterochromatin by HAT1 and the acetylation of newly synthesized histones. Nucleic Acids Research. 49(21). 12136–12151. 18 indexed citations
3.
Nagarajan, Prabakaran, et al.. (2020). Histone acetyltransferase 1 is required for DNA replication fork function and stability. Journal of Biological Chemistry. 295(25). 8363–8373. 19 indexed citations
4.
Nagarajan, Prabakaran, et al.. (2019). Early‐onset aging and mitochondrial defects associated with loss of histone acetyltransferase 1 (Hat1). Aging Cell. 18(5). e12992–e12992. 28 indexed citations
5.
Zhang, Pei, et al.. (2017). Identification of multiple roles for histone acetyltransferase 1 in replication-coupled chromatin assembly. Nucleic Acids Research. 45(16). 9319–9335. 28 indexed citations
6.
7.
Renusch, Samantha, Sean W. Harshman, Eileen Workman, et al.. (2015). Spinal Muscular Atrophy Biomarker Measurements from Blood Samples in a Clinical Trial of Valproic Acid in Ambulatory Adults. Journal of Neuromuscular Diseases. 2(2). 119–130. 14 indexed citations
8.
Wang, Huanyu, et al.. (2014). The Yeast Histone Chaperone Hif1p Functions with RNA in Nucleosome Assembly. PLoS ONE. 9(7). e100299–e100299. 4 indexed citations
9.
Ge, Zhongqi, Devi M. Nair, Xiaoyan Guan, et al.. (2013). Sites of Acetylation on Newly Synthesized Histone H4 Are Required for Chromatin Assembly and DNA Damage Response Signaling. Molecular and Cellular Biology. 33(16). 3286–3298. 25 indexed citations
10.
Nagarajan, Prabakaran, Zhongqi Ge, Bianca M. Sirbu, et al.. (2013). Histone Acetyl Transferase 1 Is Essential for Mammalian Development, Genome Stability, and the Processing of Newly Synthesized Histones H3 and H4. PLoS Genetics. 9(6). e1003518–e1003518. 69 indexed citations
11.
Nair, Devi M., et al.. (2011). Genetic interactions between POB3 and the acetylation of newly synthesized histones. Current Genetics. 57(4). 271–286. 4 indexed citations
12.
Parthun, Mark R., et al.. (2008). Involvement of Hat1p (Kat1p) Catalytic Activity and Subcellular Localization in Telomeric Silencing. Journal of Biological Chemistry. 283(43). 29060–29068. 10 indexed citations
13.
Parthun, Mark R.. (2007). Hat1: the emerging cellular roles of a type B histone acetyltransferase. Oncogene. 26(37). 5319–5328. 132 indexed citations
14.
Su, Xiaodan, Naduparambil K. Jacob, Ravindra Amunugama, et al.. (2007). Liquid chromatography mass spectrometry profiling of histones. Journal of Chromatography B. 850(1-2). 440–454. 28 indexed citations
15.
Roychowdhury, Sukla, Robert A. Baiocchi, Srinivas Vourganti, et al.. (2004). Selective Efficacy of Depsipeptide in a Xenograft Model of Epstein-Barr Virus-Positive Lymphoproliferative Disorder. JNCI Journal of the National Cancer Institute. 96(19). 1447–1457. 26 indexed citations
16.
Parthun, Mark R., et al.. (2004). Characterization of yeast histone H3-specific type B histone acetyltransferases identifies an ADA2-independent Gcn5p activity. BMC Biochemistry. 5(1). 11–11. 20 indexed citations
17.
Freitas, Michael A., et al.. (2004). Application of mass spectrometry to the identification and quantification of histone post‐translational modifications. Journal of Cellular Biochemistry. 92(4). 691–700. 110 indexed citations
18.
Smith, Christine M., Catherine O. Johnson, Philip R. Gafken, et al.. (2002). Heritable chromatin structure: Mapping “memory” in histones H3 and H4. Proceedings of the National Academy of Sciences. 99(suppl_4). 16454–16461. 69 indexed citations
19.
Qin, Song, et al.. (2000). Type B Histone Acetyltransferase Hat1p Participates in Telomeric Silencing. Molecular and Cellular Biology. 20(19). 7051–7058. 103 indexed citations
20.
Parthun, Mark R. & Judith A. Jaehning. (1992). A Transcriptionally Active Form of GAL4 Is Phosphorylated and Associated with GAL80. Molecular and Cellular Biology. 12(11). 4981–4987. 12 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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