Mark A. Nakasone

1.1k total citations
18 papers, 574 citations indexed

About

Mark A. Nakasone is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mark A. Nakasone has authored 18 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Oncology and 4 papers in Genetics. Recurrent topics in Mark A. Nakasone's work include Ubiquitin and proteasome pathways (17 papers), Cancer-related Molecular Pathways (6 papers) and Protein Degradation and Inhibitors (6 papers). Mark A. Nakasone is often cited by papers focused on Ubiquitin and proteasome pathways (17 papers), Cancer-related Molecular Pathways (6 papers) and Protein Degradation and Inhibitors (6 papers). Mark A. Nakasone collaborates with scholars based in United States, Israel and United Kingdom. Mark A. Nakasone's co-authors include David Fushman, Michael H. Glickman, Brian O. Smith, Danny T. Huang, Nurit Livnat‐Levanon, Gary Sibbet, Mads Gabrielsen, Carlos A. Castañeda, Robert E. Cohen and Susan Krueger and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Mark A. Nakasone

18 papers receiving 570 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 A. Nakasone United States 13 516 223 110 68 54 18 574
Daoning Zhang United States 13 598 1.2× 138 0.6× 131 1.2× 150 2.2× 53 1.0× 37 701
Sung‐Bau Lee Taiwan 13 599 1.2× 205 0.9× 55 0.5× 57 0.8× 52 1.0× 25 727
Wassim Abdulrahman France 7 666 1.3× 183 0.8× 35 0.3× 37 0.5× 45 0.8× 9 722
Alexander Kloß Germany 13 405 0.8× 111 0.5× 92 0.8× 90 1.3× 43 0.8× 14 497
N. Arnaudo United Kingdom 5 743 1.4× 249 1.1× 122 1.1× 85 1.3× 63 1.2× 5 812
Frederick C. Streich United States 8 329 0.6× 138 0.6× 55 0.5× 39 0.6× 30 0.6× 10 380
Fernando Gonzàlez United States 7 745 1.4× 162 0.7× 86 0.8× 134 2.0× 119 2.2× 8 798
Kwadwo Opoku-Nsiah United States 9 535 1.0× 96 0.4× 72 0.7× 67 1.0× 30 0.6× 12 620
Katharina F. Witting Netherlands 12 605 1.2× 241 1.1× 105 1.0× 73 1.1× 37 0.7× 15 690
Ayşegül Sapmaz Netherlands 13 341 0.7× 119 0.5× 47 0.4× 62 0.9× 22 0.4× 28 421

Countries citing papers authored by Mark A. Nakasone

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Nakasone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Nakasone

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

All Works

18 of 18 papers shown
1.
Furihata, Hirotake, Sohini Chakraborti, Kevin Haubrich, et al.. (2024). Design of a Cereblon construct for crystallographic and biophysical studies of protein degraders. Nature Communications. 15(1). 8885–8885. 10 indexed citations
2.
Nakasone, Mark A., Conner Craigon, Gajanan Sathe, et al.. (2024). Mechanism of degrader-targeted protein ubiquitinability. Science Advances. 10(41). eado6492–eado6492. 25 indexed citations
3.
Nakasone, Mark A., K.A. Majorek, Mads Gabrielsen, et al.. (2022). Structure of UBE2K–Ub/E3/polyUb reveals mechanisms of K48-linked Ub chain extension. Nature Chemical Biology. 18(4). 422–431. 30 indexed citations
4.
Nakasone, Mark A., et al.. (2022). Bivalent binding of p14ARF to MDM2 RING and acidic domains inhibits E3 ligase function. Life Science Alliance. 5(12). e202201472–e202201472. 5 indexed citations
5.
Chatrin, Chatrin, Mads Gabrielsen, Lori Buetow, et al.. (2020). Structural insights into ADP-ribosylation of ubiquitin by Deltex family E3 ubiquitin ligases. Science Advances. 6(38). 67 indexed citations
6.
Gabrielsen, Mads, Lori Buetow, Mark A. Nakasone, et al.. (2017). A General Strategy for Discovery of Inhibitors and Activators of RING and U-box E3 Ligases with Ubiquitin Variants. Molecular Cell. 68(2). 456–470.e10. 54 indexed citations
7.
Hameed, Dharjath S., Raj Singh, Farid El Oualid, et al.. (2017). Polyubiquitin-Photoactivatable Crosslinking Reagents for Mapping Ubiquitin Interactome Identify Rpn1 as a Proteasome Ubiquitin-Associating Subunit. Cell chemical biology. 24(4). 443–457.e6. 34 indexed citations
8.
Nakasone, Mark A., Timothy A. Lewis, Olivier Walker, et al.. (2017). Structural Basis for the Inhibitory Effects of Ubistatins in the Ubiquitin-Proteasome Pathway. Structure. 25(12). 1839–1855.e11. 11 indexed citations
9.
Zhang, Daoning, Monika Talarowska, Piotr Gałecki, et al.. (2016). Characterizing polyubiquitinated forms of the neurodegenerative ubiquitin mutant UBB+1. FEBS Letters. 590(24). 4573–4585. 6 indexed citations
10.
Castañeda, Carlos A., Olivier Walker, Apurva Chaturvedi, et al.. (2016). Linkage via K27 Bestows Ubiquitin Chains with Unique Properties among Polyubiquitins. Structure. 24(3). 423–436. 51 indexed citations
11.
Yu, Zanlin, Nurit Livnat‐Levanon, Oded Kleifeld, et al.. (2015). Base-CP proteasome can serve as a platform for stepwise lid formation. Bioscience Reports. 35(3). 20 indexed citations
12.
Bondalapati, Somasekhar, et al.. (2015). Chemical Synthesis of Phosphorylated Ubiquitin and Diubiquitin Exposes Positional Sensitivities of E1‐E2 Enzymes and Deubiquitinases. Chemistry - A European Journal. 21(20). 7360–7364. 32 indexed citations
13.
Nakasone, Mark A., Zanlin Yu, Daria Krutauz, et al.. (2014). Disassembly of Lys11 and Mixed Linkage Polyubiquitin Conjugates Provides Insights into Function of Proteasomal Deubiquitinases Rpn11 and Ubp6. Journal of Biological Chemistry. 290(8). 4688–4704. 40 indexed citations
14.
Krutauz, Daria, Noa Reis, Mark A. Nakasone, et al.. (2014). Extended ubiquitin species are protein-based DUB inhibitors. Nature Chemical Biology. 10(8). 664–670. 28 indexed citations
15.
Nakasone, Mark A., Nurit Livnat‐Levanon, Michael H. Glickman, Robert E. Cohen, & David Fushman. (2013). Mixed-Linkage Ubiquitin Chains Send Mixed Messages. Structure. 21(5). 727–740. 85 indexed citations
16.
Abe, Takaaki, Mark A. Nakasone, K. Kawahata, et al.. (2013). SLC10A4 is a protease-activated transporter that transports bile acids. The Journal of Biochemistry. 154(1). 93–101. 10 indexed citations
17.
Castañeda, Carlos A., et al.. (2013). Unique Structural, Dynamical, and Functional Properties of K11-Linked Polyubiquitin Chains. Structure. 21(7). 1168–1181. 52 indexed citations
18.
Cannon, Joe R., Mark A. Nakasone, David Fushman, & Catherine Fenselau. (2012). Proteomic Identification and Analysis of K63-Linked Ubiquitin Conjugates. Analytical Chemistry. 84(22). 10121–10128. 14 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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