Matthew A. Field

23.0k total citations · 1 hit paper
71 papers, 1.8k citations indexed

About

Matthew A. Field is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Matthew A. Field has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Genetics and 18 papers in Immunology. Recurrent topics in Matthew A. Field's work include Genomics and Rare Diseases (12 papers), Genomics and Phylogenetic Studies (11 papers) and Parasites and Host Interactions (10 papers). Matthew A. Field is often cited by papers focused on Genomics and Rare Diseases (12 papers), Genomics and Phylogenetic Studies (11 papers) and Parasites and Host Interactions (10 papers). Matthew A. Field collaborates with scholars based in Australia, United States and United Kingdom. Matthew A. Field's co-authors include Christopher C. Goodnow, T. Daniel Andrews, Alex Loukas, Andreas Kupz, Ramon M. Eichenberger, Denise L. Doolan, John J. Miles, David W. Reid, Champa N. Ratnatunga and Javier Sotillo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew A. Field

68 papers receiving 1.8k citations

Hit Papers

The Rise of Non-Tuberculosis Mycobacterial Lung Disease 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew A. Field Australia 24 722 426 391 348 324 71 1.8k
Richard Harrop United Kingdom 29 660 0.9× 1.1k 2.6× 436 1.1× 104 0.3× 266 0.8× 66 2.5k
Florence Renaud France 27 506 0.7× 146 0.3× 149 0.4× 263 0.8× 257 0.8× 70 1.9k
Matthew Moyle United States 17 1.1k 1.6× 509 1.2× 228 0.6× 88 0.3× 235 0.7× 25 2.3k
Ana Alcaraz United States 15 603 0.8× 209 0.5× 122 0.3× 172 0.5× 296 0.9× 32 1.5k
Yaofeng Zhao China 31 1.2k 1.7× 1.3k 3.0× 440 1.1× 239 0.7× 184 0.6× 123 2.8k
David B. Guiliano United Kingdom 21 539 0.7× 303 0.7× 85 0.2× 420 1.2× 74 0.2× 35 1.6k
John Yates United States 13 719 1.0× 366 0.9× 422 1.1× 474 1.4× 846 2.6× 23 2.4k
Janice C. Telfer United States 27 756 1.0× 1.3k 3.0× 95 0.2× 113 0.3× 267 0.8× 49 2.1k
Caroline A. Ray United States 13 902 1.2× 553 1.3× 476 1.2× 168 0.5× 667 2.1× 18 1.9k
Martin Kristian Raida Germany 27 684 0.9× 1.3k 3.1× 199 0.5× 101 0.3× 94 0.3× 52 2.4k

Countries citing papers authored by Matthew A. Field

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Field

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Field. A scholar is included among the top collaborators of Matthew A. Field 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 A. Field. Matthew A. Field 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.
Zhang, Jia, Matthew A. Field, Cheong Xin Chan, et al.. (2024). Chromosomal inversions harbour excess mutational load in the coral, Acropora kenti , on the Great Barrier Reef. Molecular Ecology. 33(16). e17468–e17468. 3 indexed citations
2.
Calcino, Andrew, Ira Cooke, Megan Higgie, et al.. (2024). Harnessing genomic technologies for one health solutions in the tropics. Globalization and Health. 20(1). 78–78. 3 indexed citations
3.
Frankham, Greta J., Mark D. B. Eldridge, David E. Alquezar‐Planas, et al.. (2024). Reversing the decline of threatened koala (Phascolarctos cinereus) populations in New South Wales: Using genomics to enhance conservation outcomes. Ecology and Evolution. 14(8). e11700–e11700. 3 indexed citations
4.
Wong, Yide, Mark S. Pearson, О. С. Федорова, et al.. (2023). Secreted and surface proteome and transcriptome of Opisthorchis felineus. SHILAP Revista de lepidopterología. 2. 1195457–1195457. 2 indexed citations
5.
Chuah, Aaron, et al.. (2022). StabilitySort: assessment of protein stability changes on a genome-wide scale to prioritize potentially pathogenic genetic variation. Bioinformatics. 38(17). 4220–4222. 3 indexed citations
6.
Field, Matthew A.. (2022). Bioinformatic Challenges Detecting Genetic Variation in Precision Medicine Programs. Frontiers in Medicine. 9. 806696–806696. 9 indexed citations
7.
Field, Matthew A., et al.. (2021). A murine model of tuberculosis/type 2 diabetes comorbidity for investigating the microbiome, metabolome and associated immune parameters. SHILAP Revista de lepidopterología. 4(2). 181–188. 12 indexed citations
8.
Greenfield, Melinda, Lori Lach, Bradley C. Congdon, et al.. (2021). Consistent patterns of fungal communities within ant-plants across a large geographic range strongly suggest a multipartite mutualism. Mycological Progress. 20(5). 681–699. 9 indexed citations
9.
Schmidt, Thomas L., Jessica Chung, Stephan Karl, et al.. (2021). Spatial population genomics of a recent mosquito invasion. Molecular Ecology. 30(5). 1174–1189. 21 indexed citations
10.
Haigh, Oscar, Emma J. Grant, Thi H. O. Nguyen, et al.. (2021). Genetic Bias, Diversity Indices, Physiochemical Properties and CDR3 Motifs Divide Auto-Reactive from Allo-Reactive T-Cell Repertoires. International Journal of Molecular Sciences. 22(4). 1625–1625. 3 indexed citations
11.
Loughland, Jessica R., Tonia Woodberry, Matthew A. Field, et al.. (2020). Transcriptional profiling and immunophenotyping show sustained activation of blood monocytes in subpatent Plasmodium falciparum infection. Clinical & Translational Immunology. 9(6). e1144–e1144. 15 indexed citations
12.
Field, Matthew A., Md Abdul Alim, Roland Brosch, et al.. (2020). Mucosal delivery of ESX-1–expressing BCG strains provides superior immunity against tuberculosis in murine type 2 diabetes. Proceedings of the National Academy of Sciences. 117(34). 20848–20859. 11 indexed citations
13.
Cooke, Ira, Hua Ying, Sylvain Forêt, et al.. (2020). Genomic signatures in the coral holobiont reveal host adaptations driven by Holocene climate change and reef specific symbionts. Science Advances. 6(48). 54 indexed citations
14.
Field, Matthew A., Gaétan Burgio, Aaron Chuah, et al.. (2019). Recurrent miscalling of missense variation from short-read genome sequence data. BMC Genomics. 20(S8). 546–546. 7 indexed citations
15.
Eichenberger, Ramon M., Md Hasanuzzaman Talukder, Matthew A. Field, et al.. (2018). Characterization of Trichuris muris secreted proteins and extracellular vesicles provides new insights into host–parasite communication. Journal of Extracellular Vesicles. 7(1). 1428004–1428004. 99 indexed citations
16.
Sabouri, Zahra, Peter Humburg, Mehmet Yabas, et al.. (2016). IgD attenuates the IgM-induced anergy response in transitional and mature B cells. Nature Communications. 7(1). 13381–13381. 66 indexed citations
17.
Taupin, Douglas, David Rangiah, Belinda Whittle, et al.. (2015). A deleterious RNF43 germline mutation in a severely affected serrated polyposis kindred. Human Genome Variation. 2(1). 15013–15013. 41 indexed citations
18.
Wilmott, James S., Matthew A. Field, Peter A. Johansson, et al.. (2015). Tumour procurement, DNA extraction, coverage analysis and optimisation of mutation-detection algorithms for human melanoma genomes. Pathology. 47(7). 683–693. 6 indexed citations
19.
Johar, Angad, Claudio A. Mastronardi, Adriana Rojas‐Villarraga, et al.. (2015). Novel and rare functional genomic variants in multiple autoimmune syndrome and Sjögren’s syndrome. Journal of Translational Medicine. 13(1). 173–173. 27 indexed citations
20.
Johar, Angad, Juan‐Manuel Anaya, Hardip R. Patel, et al.. (2014). Candidate gene discovery in autoimmunity by using extreme phenotypes, next generation sequencing and whole exome capture. Autoimmunity Reviews. 14(3). 204–209. 27 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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