Taylor Matte

552 citations
10 papers · 124 · h-index 7

Impact in

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 1
    • Epigenetics and DNA Methylation 1
    • SARS-CoV-2 detection and testing 3
    • SARS-CoV-2 and COVID-19 Research 2

Taylor Matte

10 papers receiving 123 citations

Peers

Taylor Matte
Comparison fields: 5 of 42
  • Genetics 10
  • Hematology 10
  • Cell Biology 15
  • Paleontology 7
  • Molecular Biology 61
Replace Jeffrey Schubert with:
Jeffrey Schubert United States
Dieke J. van Rees Netherlands
Volker Ast Germany
Astrid Bergbreiter Germany
Asier Antoñana-Vildosola Spain
Carlos Alberto Oliveira de Biagi Brazil
Michal Vytopil United States
Clara Bredow Germany
Alicia Bellomo France
Katrin Manske Germany
Taylor Matte relative to Jeffrey Schubert United States Jeffrey Schubert's profile →
Citations per field
00.5×1.5×2.5×
Jeffrey Schubert · 1×
Citations per year

Countries citing papers authored by Taylor Matte

Since Specialization
Citations

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

Fields of papers citing papers by Taylor Matte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202328
2 202223
3 201923
4 201816
5 202013
6 20209
7 20228
8 20202
9 20221
10 20201

About Taylor Matte

Taylor Matte is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Cell Biology and Electrical and Electronic Engineering, having authored 10 papers that have together received 124 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (3 papers), Neonatal Respiratory Health Research (3 papers), Zebrafish Biomedical Research Applications (2 papers), Energy Harvesting in Wireless Networks (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Epigenetics and DNA Methylation (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Genetics (10 citations), Hematology (10 citations), Cell Biology (15 citations), Paleontology (7 citations) and Molecular Biology (61 citations). Taylor Matte has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Jessica E. Garb, Robert A. Haney, George J. Murphy, Kim Vanuytsel, Feiya Wang, Darrell N. Kotton, Amy Leung, Carlos Villacorta-Martín, Pushpinder Bawa and David H.K. Chui. Their work appears in journals such as Cell stem cell, Frontiers in Ecology and Evolution, Stem Cell Reports, Cell Reports and Blood 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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