Matthew Larson

534 citations
11 papers · 328 · h-index 6

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

Matthew Larson

10 papers receiving 327 citations

Peers

Matthew Larson
Comparison fields: 5 of 63
  • Health Informatics 24
  • Cell Biology 161
  • Aging 10
  • Orthodontics 18
  • Biophysics 26
Replace Dan Safer with:
Dan Safer United States
Joshua Mueller United States
Krithika Mohan United States
Adriana E. Golding United States
Christoph A. Brand Germany
Raphaël Marchand France
Gregor Mönke Germany
Frederic Català-Castro Spain
Anaëlle Pierre United States
Yin–Wei Kuo United States
Matthew Larson relative to Dan Safer United States Dan Safer's profile →
Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Matthew Larson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015205
2 202158
3 201319
4 201715
5 201612
6 20189
7 20104
8 20183
9 20232
10 20231
11 20250

About Matthew Larson

Matthew Larson is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Biophysics, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Cellular Mechanics and Interactions (4 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Orthodontics and Dentofacial Orthopedics (1 paper), Neurosurgical Procedures and Complications (1 paper), Photoreceptor and optogenetics research (1 paper), Intracranial Aneurysms: Treatment and Complications (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Health Informatics (24 citations), Cell Biology (161 citations), Aging (10 citations), Orthodontics (18 citations) and Biophysics (26 citations). Matthew Larson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William M. Bement, Adriana E. Golding, Marcin Leda, Ann L. Miller, Andrew B. Goryachev, George von Dassow, Andrew F. Voter, John W. Garrett, John‐Paul J. Yu and Joshua C. Sandquist. Their work appears in journals such as Molecular Biology of the Cell, American Journal of Orthodontics and Dentofacial Orthopedics, Abdominal Radiology, Cytoskeleton and Urologic Oncology Seminars and Original Investigations.

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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