Matthew Lord

1.3k citations
29 papers · 1.0k · h-index 16

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
  • Aging top 10%

Papers in

Matthew Lord

28 papers receiving 1.0k citations

Peers

Matthew Lord
Comparison fields: 5 of 93
  • Cell Biology 582
  • Aging 37
  • Cardiology and Cardiovascular Medicine 271
  • Molecular Biology 758
  • Cellular and Molecular Neuroscience 155
Replace Jim O. Vigoreaux with:
Jim O. Vigoreaux United States
Lynn Manseau United States
Mithilesh Mishra Singapore
Joseph C. Ayoob United States
Daniel Schott United States
Valerie Mermall United States
Ferenc Jankovics Hungary
Emma S. Hennessey United Kingdom
Caroline Laplante United States
Delphine Cérézo France
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Citations per field
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Jim O. Vigoreaux · 1×
Citations per year

Countries citing papers authored by Matthew Lord

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Lord, 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 Lord Line = papers co-authored together Matthew Lord links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006218
2 2004107
3 201092
4 200580
5 201071
6 201064
7 199850
8 201442
9 199639
10 201335
11 200931
12 200827
13 199927
14 201223
15 201521
16 201316
17 201115
18 200915
19 201612
20 202111

About Matthew Lord

Matthew Lord is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (12 papers), Fungal and yeast genetics research (10 papers), Genetic Neurodegenerative Diseases (9 papers), Bacterial Genetics and Biotechnology (5 papers), Microtubule and mitosis dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Muscle Physiology and Disorders (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Cell Biology (582 citations), Aging (37 citations), Cardiology and Cardiovascular Medicine (271 citations), Molecular Biology (758 citations) and Cellular and Molecular Neuroscience (155 citations). Matthew Lord has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Thomas D. Pollard, Vladimir Sirotkin, David R. Kovar, Thomas E. Sladewski, Luther W. Pollard, J. R. Kuhn, Christopher C. Beltzner, Jian‐Qiu Wu, Michael D. Yudkin and Joseph E. Clayton. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Civil Wars, Proceedings of the National Academy of Sciences and Current Biology.

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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