Huw M. Nash

2.8k total citations
20 papers, 1.6k citations indexed

About

Huw M. Nash is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Huw M. Nash has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Organic Chemistry. Recurrent topics in Huw M. Nash's work include DNA Repair Mechanisms (6 papers), Chemical Synthesis and Analysis (5 papers) and Computational Drug Discovery Methods (4 papers). Huw M. Nash is often cited by papers focused on DNA Repair Mechanisms (6 papers), Chemical Synthesis and Analysis (5 papers) and Computational Drug Discovery Methods (4 papers). Huw M. Nash collaborates with scholars based in United States, United Kingdom and France. Huw M. Nash's co-authors include Gregory L. Verdine, Rongzhen Lu, William S. Lane, Steven D. Bruner, Orlando D. Schärer, Tomohiko Kawate, Eric Spooner, Theresa A. Addona, D. Allen Annis and Naim Nazef and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Huw M. Nash

20 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huw M. Nash United States 16 1.4k 249 222 128 95 20 1.6k
Steven M. Stirdivant United States 23 2.0k 1.4× 291 1.2× 230 1.0× 207 1.6× 75 0.8× 39 2.5k
Normand Beaulieu Canada 17 1.4k 1.0× 189 0.8× 246 1.1× 291 2.3× 116 1.2× 53 1.9k
João Meireles Ribeiro Spain 13 785 0.5× 87 0.3× 75 0.3× 207 1.6× 90 0.9× 47 1.3k
Giordana Feriotto Italy 23 1.1k 0.8× 181 0.7× 94 0.4× 105 0.8× 18 0.2× 93 1.6k
Jonathan S. Rosenblum United States 19 1.3k 0.9× 115 0.5× 84 0.4× 392 3.1× 46 0.5× 32 1.8k
Joseph Monforte United States 17 682 0.5× 149 0.6× 159 0.7× 93 0.7× 84 0.9× 26 1.1k
Miljan Simonović United States 24 1.0k 0.7× 127 0.5× 171 0.8× 54 0.4× 28 0.3× 41 1.5k
Till Maurer Germany 17 1.2k 0.8× 62 0.2× 139 0.6× 319 2.5× 66 0.7× 32 1.5k
Amit Kulkarni United States 12 1.2k 0.9× 247 1.0× 217 1.0× 307 2.4× 18 0.2× 19 1.7k
Ursula Egner Germany 21 1.1k 0.8× 52 0.2× 507 2.3× 205 1.6× 103 1.1× 37 1.8k

Countries citing papers authored by Huw M. Nash

Since Specialization
Citations

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

Fields of papers citing papers by Huw M. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huw M. Nash. 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 Huw M. Nash. The network helps show where Huw M. Nash may publish in the future.

Co-authorship network of co-authors of Huw M. Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Huw M. Nash. A scholar is included among the top collaborators of Huw M. Nash 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 Huw M. Nash. Huw M. Nash 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.
Guerlavais, Vincent, Tomi K. Sawyer, Luis A. Carvajal, et al.. (2023). Discovery of Sulanemadlin (ALRN-6924), the First Cell-Permeating, Stabilized α-Helical Peptide in Clinical Development. Journal of Medicinal Chemistry. 66(14). 9401–9417. 79 indexed citations
2.
Lim, Kian‐Huat, Han Zhou, Hyun Yong Jeon, et al.. (2020). Antisense oligonucleotide modulation of non-productive alternative splicing upregulates gene expression. Nature Communications. 11(1). 3501–3501. 138 indexed citations
3.
Chang, Yong S., Bradford Graves, Vincent Guerlavais, et al.. (2012). 226 ATSP-7041, a Dual MDM2 and MDMX Targeting Stapled A-helical Peptide Exhibits Potent in Vitro and in Vivo Efficacy in Xenograft Models of Human Cancer. European Journal of Cancer. 48. 68–69. 3 indexed citations
4.
Zhou, Li, Tomohiko Kawate, Xiaorong Liu, et al.. (2011). STAT6 phosphorylation inhibitors block eotaxin-3 secretion in bronchial epithelial cells. Bioorganic & Medicinal Chemistry. 20(2). 750–758. 22 indexed citations
5.
Annis, Douglas S., Cliff C. Cheng, Cheng‐Chi Chuang, et al.. (2009). Inhibitors of the Lipid Phosphatase SHIP2 Discovered by High Throughput Affinity Selection-Mass Spectrometry Screening of Combinatorial Libraries. Combinatorial Chemistry & High Throughput Screening. 12(8). 760–771. 24 indexed citations
6.
Whitehurst, Charles E., Naim Nazef, D. Allen Annis, et al.. (2006). Discovery and Characterization of Orthosteric and Allosteric Muscarinic M2 Acetylcholine Receptor Ligands by Affinity Selection–Mass Spectrometry. SLAS DISCOVERY. 11(2). 194–207. 24 indexed citations
7.
Annis, D. Allen, Krishna Kalghatgi, Huw M. Nash, et al.. (2004). An affinity selection–mass spectrometry method for the identification of small molecule ligands from self-encoded combinatorial libraries. International Journal of Mass Spectrometry. 238(2). 77–83. 74 indexed citations
8.
Annis, D. Allen, Naim Nazef, Cheng‐Chi Chuang, Margaret Porter Scott, & Huw M. Nash. (2004). A General Technique To Rank Protein−Ligand Binding Affinities and Determine Allosteric versus Direct Binding Site Competition in Compound Mixtures. Journal of the American Chemical Society. 126(47). 15495–15503. 90 indexed citations
9.
10.
Makara, Gergely M., et al.. (2003). A reagent-based strategy for the design of large combinatorial libraries: A preliminary experimental validation. Molecular Diversity. 7(1). 3–14. 4 indexed citations
11.
Nash, Huw M., Donald C. Blair, & John J. Grefenstette. (2001). Comparing algorithms for large-scale sequence analysis. 4. 89–96. 3 indexed citations
12.
Nash, Huw M., et al.. (2000). Chemical ligands, genomics and drug discovery. Drug Discovery Today. 5(4). 145–156. 56 indexed citations
13.
Schärer, Orlando D., Huw M. Nash, Josef Jiricny, Jacques Laval, & Gregory L. Verdine. (1998). Specific Binding of a Designed Pyrrolidine Abasic Site Analog to Multiple DNA Glycosylases. Journal of Biological Chemistry. 273(15). 8592–8597. 91 indexed citations
14.
Bruner, Steven D., Huw M. Nash, William S. Lane, & Gregory L. Verdine. (1998). Repair of oxidatively damaged guanine in Saccharomyces cerevisiae by an alternative pathway. Current Biology. 8(7). 393–404. 73 indexed citations
15.
Lu, Rongzhen, Huw M. Nash, & Gregory L. Verdine. (1997). A mammalian DNA repair enzyme that excises oxidatively damaged guanines maps to a locus frequently lost in lung cancer. Current Biology. 7(6). 397–407. 279 indexed citations
16.
17.
Nash, Huw M., Steven D. Bruner, Orlando D. Schärer, et al.. (1996). Cloning of a yeast 8-oxoguanine DNA glycosylase reveals the existence of a base-excision DNA-repair protein superfamily. Current Biology. 6(8). 968–980. 387 indexed citations
18.
19.
Myers, Lawrence C., et al.. (1992). Zinc binding by the methylation signaling domain of the Escherichia coli Ada protein. Biochemistry. 31(19). 4541–4547. 45 indexed citations
20.
Shewchuk, Lisa M., Gregory L. Verdine, Huw M. Nash, & Christopher T. Walsh. (1989). Mutagenesis of the cysteines in the metalloregulatory protein MerR indicates that a metal-bridged dimer activates transcription. Biochemistry. 28(15). 6140–6145. 45 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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