Michael A. Matrone

803 citations
11 papers · 654 · h-index 11

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cancer Cells and Metastasis

Papers in

    • Cellular Mechanics and Interactions 6
    • Microtubule and mitosis dynamics 5
    • Cancer Cells and Metastasis 2
    • Cancer-related Molecular Pathways 1

Michael A. Matrone

11 papers receiving 629 citations

Peers

Michael A. Matrone
Comparison fields: 5 of 80
  • Cell Biology 189
  • Oncology 179
  • Complementary and alternative medicine 47
  • Cancer Research 68
  • Developmental Neuroscience 18
Replace Conrad von Schubert with:
Conrad von Schubert Switzerland
Xiayang Xie United States
Yue Song China
Christina Begon‐Pescia France
Stefanie A.H. de Poot Netherlands
Tingting Chu China
Phil Y. Yao United States
Ian W. Jeffrey United Kingdom
Mark Ditzel United Kingdom
Klaus Schwamborn France
Michael A. Matrone relative to Conrad von Schubert Switzerland Conrad von Schubert's profile →
Citations per field
00.5×2×4×6×8×9×
Conrad von Schubert · 1×
Citations per year

Countries citing papers authored by Michael A. Matrone

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Matrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Michael A. Matrone, 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 Michael A. Matrone Line = papers co-authored together Michael A. Matrone links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010128
2 2008107
3 201066
4 201064
5 200556
6 200351
7 200351
8 200940
9 201239
10 201134
11 201018

About Michael A. Matrone

Michael A. Matrone is a scholar working on Cell Biology, Oncology, Virology, Immunology and Allergy and Parasitology, having authored 11 papers that have together received 654 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Microtubule and mitosis dynamics (5 papers), Cancer Cells and Metastasis (2 papers), Cell Adhesion Molecules Research (1 paper), Genetic diversity and population structure (1 paper), Malaria Research and Control (1 paper), Cancer-related Molecular Pathways (1 paper) and Bird parasitology and diseases (1 paper). The work is most often cited by research in Cell Biology (189 citations), Oncology (179 citations), Complementary and alternative medicine (47 citations), Cancer Research (68 citations) and Developmental Neuroscience (18 citations). Michael A. Matrone has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric M. Balzer, Stuart Martin, Rebecca A. Whipple, Edward H. Cho, Jennifer R. Yoon, Nusha Keyghobadi, Dina M. Fonseca, Michele I. Vitolo, Olga B. Ioffe and Kimberly C. Tuttle. Their work appears in journals such as Cancer Research, Breast Cancer Research and Treatment, International Immunopharmacology, Cancer Biology & Therapy and Oncogene.

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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