Matthew Todd

1.1k citations
17 papers · 583 · h-index 11

Impact in

    • Enzyme Production and Characterization
    • Microbial Metabolic Engineering and Bioproduction
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • Enzyme Catalysis and Immobilization

Papers in

    • Genomics and Chromatin Dynamics 4
    • DNA Repair Mechanisms 3
    • RNA modifications and cancer 3
    • Chromatin Remodeling and Cancer 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Genetics and Neurodevelopmental Disorders 3
    • Genetic and Kidney Cyst Diseases 1

Matthew Todd

15 papers receiving 573 citations

Peers

Matthew Todd
Comparison fields: 5 of 80
  • Biotechnology 63
  • Molecular Biology 435
  • Hematology 63
  • Cancer Research 51
  • Genetics 83
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Daniel Hart United States
Debasree Dutta India
Yang Lv China
Lucy Byrnes Ireland
Kun Shen China
Yide Jiang United States
Y. Kuroda Japan
Dayong Han China
Andrew Hagen United States
Andreas Weise Germany
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Todd

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Todd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Todd Line = papers co-authored together Matthew Todd links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009190
2 199577
3 201272
4 200941
5 201839
6 201038
7 200433
8 201531
9 201622
10 200615
11 200814
12 20247
13 20242
14 20231
15 20251
16
Open source drug discovery for malaria
20130
17 20240

About Matthew Todd

Matthew Todd is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Education and Pathology and Forensic Medicine, having authored 17 papers that have together received 583 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), RNA modifications and cancer (3 papers), Mathematics Education and Teaching Techniques (2 papers), Chromatin Remodeling and Cancer (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Biotechnology (63 citations), Molecular Biology (435 citations), Hematology (63 citations), Cancer Research (51 citations) and Genetics (83 citations). Matthew Todd has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include David J. Picketts, Kirstin L. Eley, Mark Taylor, Steven Boakes, R. E. Cripps, Tony Atkinson, Brian A.M. Rudd, Michael S. Huh, David J. Leak and Jack H. Kaplan. Their work appears in journals such as Experimental Neurology, European Journal of Human Genetics, Journal of Proteome Research, Metabolic Engineering and Science Advances.

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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