Matthew R. Schaab

580 total citations
12 papers, 467 citations indexed

About

Matthew R. Schaab is a scholar working on Molecular Biology, Spectroscopy and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matthew R. Schaab has authored 12 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matthew R. Schaab's work include Advanced Proteomics Techniques and Applications (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). Matthew R. Schaab is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and Metal-Catalyzed Oxygenation Mechanisms (2 papers). Matthew R. Schaab collaborates with scholars based in United States. Matthew R. Schaab's co-authors include Brett M. Barney, Wilson A. Francisco, Richard N. Armstrong, Randall W. Nelson, Marcia E. Newcomer, Kerry L. Fillgrove, Svetlana Pakhomova, Chad R. Borges, Olgica Trenchevska and Dobrin Nedelkov and has published in prestigious journals such as PLoS ONE, Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Matthew R. Schaab

12 papers receiving 456 citations

Peers

Matthew R. Schaab
Comparison fields: 5 of 76
  • Molecular Biology 237
  • Inorganic Chemistry 87
  • Plant Science 83
  • Spectroscopy 79
  • Oncology 59
Replace Jungwook Kim with:
Jungwook Kim United States
Priyanka Yadav India
Sachi Okamoto Canada
Alain Perret France
Annalisa Guaragna Italy
Eva Kvasničková Czechia
Kenneth G. Hull United States
Akbar Z. Shyadehi United Kingdom
Susan L. Clugston Canada
Monika I. Konaklieva United States
Jungwook Kim United States View profile →
Citations per field, relative to Matthew R. Schaab
Matthew R. Schaab · 1×
Citations per year, relative to Matthew R. Schaab
Matthew R. Schaab · 1×

Countries citing papers authored by Matthew R. Schaab

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Schaab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Schaab

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 55
2 36
3 18
4 43
5 38
6 22
7 30
8 15
9
Functional Genomics in Escherichia coli: Experimental Approaches for the Assignment of Enzyme Function
1
10 69
11 95
12 45

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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2026