Matthew Tamasi

564 total citations
13 papers, 397 citations indexed

About

Matthew Tamasi is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Matthew Tamasi has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Matthew Tamasi's work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Machine Learning in Materials Science (4 papers) and Protein purification and stability (3 papers). Matthew Tamasi is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Machine Learning in Materials Science (4 papers) and Protein purification and stability (3 papers). Matthew Tamasi collaborates with scholars based in United States, Sweden and Australia. Matthew Tamasi's co-authors include Adam J. Gormley, Shashank Kosuri, Rahul Upadhya, Travis A. Meyer, Roshan Patel, Carlos H. Borca, Michael A. Webb, N. Sanjeeva Murthy, Michael E. Webb and César E. Ramírez and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Drug Delivery Reviews.

In The Last Decade

Matthew Tamasi

12 papers receiving 390 citations

Peers

Matthew Tamasi
Comparison fields: 5 of 70
  • Materials Chemistry 180
  • Biomedical Engineering 126
  • Molecular Biology 109
  • Organic Chemistry 92
  • Computational Theory and Mathematics 77
Replace Shashank Kosuri with:
Shashank Kosuri United States
Rahul Upadhya United States
Roshan Patel United States
Tzyy‐Shyang Lin United States
Jatin Kumar Singapore
Somesh Mohapatra United States
Christopher J. Forman United States
Gal Chen Israel
Niklas Felix König France
Jiayi Lu China
Shashank Kosuri United States View profile →
Citations per field, relative to Matthew Tamasi
Matthew Tamasi · 1×
Citations per year, relative to Matthew Tamasi
Matthew Tamasi · 1×

Countries citing papers authored by Matthew Tamasi

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tamasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tamasi

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Tamasi. A scholar is included among the top collaborators of Matthew Tamasi 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 Tamasi. Matthew Tamasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 3
3 19
4 13
5 52
6 8
7 123
8 53
9 1
10 4
11 72
12 48
13
High throughput screening of random heteropolymers that stabilize enzymes
1

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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