Matthew P Beaudet

412 citations
6 papers · 320 indexed · h-index 4
Topics
Advanced Biosensing Techniques and Applications (3 papers)Gene expression and cancer classification (3 papers)Advanced Proteomics Techniques and Applications (2 papers)
Partner nations
United StatesCanada

In The Last Decade

Matthew P Beaudet

6 papers receiving 312 citations

Peers

Matthew P Beaudet
Comparison fields: 5 of 80
  • Molecular Biology 238
  • Biomedical Engineering 61
  • Ecology 43
  • Materials Chemistry 25
  • Cancer Research 23
Replace Tomoharu Kajiyama with:
Tomoharu Kajiyama Japan
Vlad‐Stefan Raducanu Saudi Arabia
Lauryn E. Sass United States
Alexei L. Drobyshev Russia
John M. Pagano United States
Fahad Rashid Saudi Arabia
Phu T. Van United States
Anna A. Tang United Kingdom
Manal S. Zaher Saudi Arabia
Matthew P Beaudet relative to Tomoharu Kajiyama Japan Tomoharu Kajiyama's profile →
Citations per field
00.5×1.5×1.9×
Tomoharu Kajiyama · 1×
Citations per year

Countries citing papers authored by Matthew P Beaudet

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P Beaudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew P Beaudet

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P Beaudet. A scholar is included among the top collaborators of Matthew P Beaudet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew P Beaudet. Matthew P Beaudet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 9
2 4
3
P146-M A Fast, Easy, Accurate Method for Protein Quantitation
2
4 3
5 42
6 260

About Matthew P Beaudet

Matthew P Beaudet is a scholar working on Modeling and Simulation, Biophysics and Spectroscopy, having authored 6 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (3 papers), Gene expression and cancer classification (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (238 citations), Chemical Health and Safety (2 citations) and Biophysics (17 citations). Matthew P Beaudet has collaborated with scholars based in United States and Canada. Frequent co-authors include Laurie J. Jones, Rabiya S. Tuma, Stephen Yue, Victoria L. Singer, William G. Cox, Jerry L. Ruth, Annie‐Claire Nadeau‐Fredette, Rita S. Suri, Léa Ravensbergen and James A. DeWeese. Their work appears in journals such as Analytical Biochemistry, The FASEB Journal and Transportation Research Interdisciplinary Perspectives.

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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