R. Matthew Ward

1.6k total citations
20 papers, 718 citations indexed

About

R. Matthew Ward is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, R. Matthew Ward has authored 20 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Computational Theory and Mathematics. Recurrent topics in R. Matthew Ward's work include Genomics and Phylogenetic Studies (6 papers), Protein Structure and Dynamics (5 papers) and Signaling Pathways in Disease (5 papers). R. Matthew Ward is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Protein Structure and Dynamics (5 papers) and Signaling Pathways in Disease (5 papers). R. Matthew Ward collaborates with scholars based in United States, Italy and Hong Kong. R. Matthew Ward's co-authors include John Svaren, Rajini Srinivasan, Scott E. LeBlanc, Sung‐Wook Jang, Olivier Lichtarge, Serkan Erdin, Lawrence Wrabetz, David Mittelman, David M. Kristensen and Andreas Martin Lisewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

R. Matthew Ward

20 papers receiving 714 citations

Peers

R. Matthew Ward

CMN

GENET

Chen Farhy United States

Dara J. Dunican United Kingdom

C A Ohmstede United States

Vijender Chaitankar United States

Michael J. Soskis United States

J. Funahashi Japan

Gaurav Ahuja India

Xuejie Yang China

Anni Vedeler Norway

Marianna Tcherpakov Israel

Chen Farhy United States

R. Matthew Ward

604 ×1.2

146 ×0.7

CMN

54 ×0.7

149 ×2.1

GENET

45 ×0.6

Citations per year, relative to R. Matthew Ward R. Matthew Ward (= 1×) peers Chen Farhy

Countries citing papers authored by R. Matthew Ward

Since Specialization

Citations

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

Fields of papers citing papers by R. Matthew Ward

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Matthew Ward

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

All Works

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20 of 20 papers shown

Erdin, Serkan, et al.. (2013). Prediction and experimental validation of enzyme substrate specificity in protein structures. Proceedings of the National Academy of Sciences. 110(45). E4195–202. 31 indexed citations

Ward, R. Matthew, Robert Schmieder, Gareth Highnam, & David Mittelman. (2013). Big data challenges and opportunities in high-throughput sequencing. 1(1). 29–34. 28 indexed citations

Li, Jing‐Woei, et al.. (2012). SEQanswers: an open access community for collaboratively decoding genomes. Bioinformatics. 28(9). 1272–1273. 40 indexed citations

Fonville, Natalie C., R. Matthew Ward, & David Mittelman. (2011). Stress-Induced Modulators of Repeat Instability and Genome Evolution. Microbial Physiology. 21(1-2). 36–44. 23 indexed citations

Wilkins, Angela D., Rhonald C. Lua, Serkan Erdin, R. Matthew Ward, & Olivier Lichtarge. (2010). Sequence and structure continuity of evolutionary importance improves protein functional site discovery and annotation. Protein Science. 19(7). 1296–1311. 17 indexed citations

Venner, Eric, et al.. (2010). Accurate Protein Structure Annotation through Competitive Diffusion of Enzymatic Functions over a Network of Local Evolutionary Similarities. PLoS ONE. 5(12). e14286–e14286. 15 indexed citations

Erdin, Serkan, R. Matthew Ward, Eric Venner, & Olivier Lichtarge. (2009). Evolutionary Trace Annotation of Protein Function in the Structural Proteome. Journal of Molecular Biology. 396(5). 1451–1473. 31 indexed citations

Ward, R. Matthew, et al.. (2009). Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates. Bioinformatics. 25(11). 1426–1427. 25 indexed citations

Ward, R. Matthew, Serkan Erdin, T.A. Tran, et al.. (2008). De-Orphaning the Structural Proteome through Reciprocal Comparison of Evolutionarily Important Structural Features. PLoS ONE. 3(5). e2136–e2136. 20 indexed citations

10.

Kristensen, David M., R. Matthew Ward, Andreas Martin Lisewski, et al.. (2008). Prediction of enzyme function based on 3D templates of evolutionarily important amino acids. BMC Bioinformatics. 9(1). 17–17. 59 indexed citations

11.

Ward, R. Matthew, et al.. (2008). Active Gene Repression by the Egr2·NAB Complex during Peripheral Nerve Myelination. Journal of Biological Chemistry. 283(26). 18187–18197. 56 indexed citations

12.

Ward, R. Matthew & Andrew D. Davidson. (2008). Reverse Genetics and the Study of Dengue Virus. Future Virology. 3(3). 279–290. 9 indexed citations

13.

Jang, Sung‐Wook, Li‐Wei Chang, Rajini Srinivasan, et al.. (2007). Interactions of Sox10 and Egr2 in myelin gene regulation. PubMed. 3(4). 377–387. 64 indexed citations

14.

Srinivasan, Rajini, Sung‐Wook Jang, R. Matthew Ward, et al.. (2007). Differential regulation of NAB corepressor genes in Schwann cells. BMC Molecular Biology. 8(1). 117–117. 21 indexed citations

15.

LeBlanc, Scott E., R. Matthew Ward, & John Svaren. (2007). Neuropathy-Associated Egr2 Mutants Disrupt Cooperative Activation of Myelin Protein Zero by Egr2 and Sox10. Molecular and Cellular Biology. 27(9). 3521–3529. 65 indexed citations

16.

Srinivasan, Rajini, et al.. (2006). NAB2 Represses Transcription by Interacting with the CHD4 Subunit of the Nucleosome Remodeling and Deacetylase (NuRD) Complex. Journal of Biological Chemistry. 281(22). 15129–15137. 90 indexed citations

17.

Kristensen, David M., Brian Y. Chen, Viacheslav Y. Fofanov, et al.. (2006). Recurrent use of evolutionary importance for functional annotation of proteins based on local structural similarity. Protein Science. 15(6). 1530–1536. 24 indexed citations

18.

LeBlanc, Scott E., Sung‐Wook Jang, R. Matthew Ward, Lawrence Wrabetz, & John Svaren. (2005). Direct Regulation of Myelin Protein Zero Expression by the Egr2 Transactivator. Journal of Biological Chemistry. 281(9). 5453–5460. 83 indexed citations

19.

Cohen, Jonathan H., Joram Piatigorsky, Linlin Ding, et al.. (2005). Vertebrate-like ??-crystallins in the ocular lenses of a copepod. Journal of Comparative Physiology A. 191(3). 291–298. 4 indexed citations

20.

Winkfein, Robert J., Bret J. Pearson, R. Matthew Ward, et al.. (2004). Molecular characterization, functional expression and tissue distribution of a second NCKX Na+/Ca2+-K+ exchanger from Drosophila. Cell Calcium. 36(2). 147–155. 13 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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