Matthew Holford

596 total citations
9 papers, 446 citations indexed

About

Matthew Holford is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Matthew Holford has authored 9 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Matthew Holford's work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Semantic Web and Ontologies (4 papers). Matthew Holford is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers) and Semantic Web and Ontologies (4 papers). Matthew Holford collaborates with scholars based in United States, Canada and United Kingdom. Matthew Holford's co-authors include Hongyu Zhao, Bin Lü, Michael Lawton, Bradley E. Enerson, Herbert Pang, Eugenia Floyd, Aiping Lin, Xing‐Wang Deng, Ligeng Ma and Huiyong Zhang and has published in prestigious journals such as Nature Genetics, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Matthew Holford

9 papers receiving 435 citations

Peers

Matthew Holford

MB

PS

GENET

AI

CTM

Domenica D’Elia Italy

Costas Bouyioukos France

William Seffens United States

Stephen Keenan United Kingdom

Narges Bani Asadi United States

Cen Wan United Kingdom

Olivier Périn France

Rajesh Chowdhary United States

Sofie Van Landeghem Belgium

Sapna Kumari India

Domenica D’Elia Italy

Matthew Holford

334 ×1.1

MB

35 ×0.2

PS

51 ×0.7

GENET

53 ×1.0

AI

16 ×0.8

CTM

Citations per year, relative to Matthew Holford Matthew Holford (= 1×) peers Domenica D’Elia

Countries citing papers authored by Matthew Holford

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Holford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Holford

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

All Works

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9 of 9 papers shown

1.

Page, Kevin, et al.. (2019). A Layered Digital Library for Cataloguing and Research: Practical Experiences with Medieval Manuscripts, from TEI to Linked Data. University of the Arts London Research Online (University of the Arts London). 1 indexed citations

2.

Holford, Matthew & Michael Krauthammer. (2015). Mutadelic: mutation analysis using description logic inferencing capabilities. Bioinformatics. 31(23). 3742–3747. 1 indexed citations

3.

Holford, Matthew, Jamie P. McCusker, Kei‐Hoi Cheung, & Michael Krauthammer. (2012). A semantic web framework to integrate cancer omics data with biological knowledge. BMC Bioinformatics. 13(S1). S10–S10. 12 indexed citations

4.

Holford, Matthew, Ekta Khurana, Kei‐Hoi Cheung, & Mark Gerstein. (2010). Using semantic web rules to reason on an ontology of pseudogenes. Bioinformatics. 26(12). i71–i78. 14 indexed citations

5.

Jiao, Yuling, S. Lori Tausta, Neeru Gandotra, et al.. (2009). A transcriptome atlas of rice cell types uncovers cellular, functional and developmental hierarchies. Nature Genetics. 41(2). 258–263. 183 indexed citations

6.

Cheung, Kei-Hoi, Ee Jean Lim, Matthias Samwald, et al.. (2009). Approaches to neuroscience data integration. Briefings in Bioinformatics. 10(4). 345–353. 12 indexed citations

7.

Holford, Matthew, Haseena Rajeevan, Hongyu Zhao, Kenneth K. Kídd, & Kei‐Hoi Cheung. (2009). Semantic Web-Based Integration of Cancer Pathways and Allele Frequency Data. Cancer Informatics. 8. CIN.S1006–CIN.S1006. 7 indexed citations

8.

Pang, Herbert, Aiping Lin, Matthew Holford, et al.. (2006). Pathway analysis using random forests classification and regression. Bioinformatics. 22(16). 2028–2036. 180 indexed citations

9.

Sun, Ning, Kei‐Hoi Cheung, Zhong Zhen Guan, et al.. (2003). PathMAPA: a tool for displaying gene expression and performing statistical tests on metabolic pathways at multiple levels for Arabidopsis. BMC Bioinformatics. 4(1). 56–56. 36 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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