Frank D. Teets

1.1k citations
9 papers · 109 · h-index 6

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • Microbial Metabolic Engineering and Bioproduction 2
    • Glycosylation and Glycoproteins Research 1
    • Enzyme Structure and Function 4

Frank D. Teets

9 papers receiving 105 citations

Peers

Frank D. Teets
Comparison fields: 5 of 40
  • Cellular and Molecular Neuroscience 25
  • Infectious Diseases 17
  • Public Health, Environmental and Occupational Health 25
  • Biophysics 5
  • Molecular Biology 54
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Neli Fonseca Brazil
Mariah Dunlap United States
Alex L. Payne-Dwyer United Kingdom
Carolin Schmelas Germany
Francesco Giordani Italy
Esra Peker Germany
Anna Rubio‐Cosials Spain
Peiyi Wang China
Antoine Schramm France
Steven Willows Canada
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Countries citing papers authored by Frank D. Teets

Since Specialization
Citations

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

Fields of papers citing papers by Frank D. Teets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank D. Teets. 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 Frank D. Teets. The network helps show where Frank D. Teets may publish in the future.

Co-authors

The 22 scholars most cited alongside Frank D. Teets, 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 Frank D. Teets Line = papers co-authored together Frank D. Teets links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201933
2 201426
3 202015
4 201812
5 20229
6 20135
7 20195
8 20143
9 20221

About Frank D. Teets

Frank D. Teets is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Biophysics, having authored 9 papers that have together received 109 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (4 papers), Mosquito-borne diseases and control (2 papers), Photoreceptor and optogenetics research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (25 citations), Infectious Diseases (17 citations), Public Health, Environmental and Occupational Health (25 citations), Biophysics (5 citations) and Molecular Biology (54 citations). Frank D. Teets has collaborated with scholars based in United States. Frequent co-authors include Brian Kuhlman, Sharon Isern, Jared Adolf‐Bryfogle, Christopher D. Bahl, Moti Ramgopal, Scott F. Michael, Amanda S. Graham, Klaus M. Hahn, Hui Wang and Sharon L. Guffy. Their work appears in journals such as Bioinformatics, Nature Chemical Biology, Journal of Chemical Information and Modeling, Protein Science and Current Opinion in Structural Biology.

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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