Tonya L. Peeples

54 total papers · 1.3k total citations
37 papers, 996 citations indexed

About

Tonya L. Peeples is a scholar working on Molecular Biology, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Tonya L. Peeples has authored 37 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Biomedical Engineering and 4 papers in Organic Chemistry. Recurrent topics in Tonya L. Peeples's work include Enzyme Catalysis and Immobilization (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Engineering Education and Pedagogy (4 papers). Tonya L. Peeples is often cited by papers focused on Enzyme Catalysis and Immobilization (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Engineering Education and Pedagogy (4 papers). Tonya L. Peeples collaborates with scholars based in United States. Tonya L. Peeples's co-authors include Horacio F. Olivo, Robert M. Kelly, Mian Li, Darrin A. Thompson, David M. Cwiertny, Mary E. Lidstrom, Michelle L. Hladik, Andria M. Costello, John D. Vargo and Keith E. Schilling and has published in prestigious journals such as Applied and Environmental Microbiology, Advanced Drug Delivery Reviews and Annals of the New York Academy of Sciences.

In The Last Decade

Tonya L. Peeples

34 papers receiving 973 citations

Hit Papers

A critical review on the ... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tonya L. Peeples 433 262 130 128 128 37 996
Yongmei Zhang 424 1.0× 169 0.6× 234 1.8× 86 0.7× 101 0.8× 48 1.1k
Huilin Yang 379 0.9× 71 0.3× 166 1.3× 77 0.6× 274 2.1× 41 1.2k
Qin Wu 334 0.8× 60 0.2× 178 1.4× 124 1.0× 116 0.9× 55 1.2k
Wataru Kitagawa 518 1.2× 156 0.6× 385 3.0× 72 0.6× 29 0.2× 40 1.2k
Caroline Amiel 316 0.7× 75 0.3× 213 1.6× 170 1.3× 56 0.4× 27 1.1k
Shinji Wada 210 0.5× 58 0.2× 73 0.6× 73 0.6× 93 0.7× 49 1.0k
Leif‐Alexander Garbe 372 0.9× 88 0.3× 92 0.7× 279 2.2× 31 0.2× 50 1.2k
Monika Paszkiewicz 186 0.4× 233 0.9× 245 1.9× 140 1.1× 99 0.8× 62 1.2k
Muthukalingan Krishnan 299 0.7× 162 0.6× 36 0.3× 183 1.4× 405 3.2× 49 1.1k
Tao Liu 234 0.5× 266 1.0× 76 0.6× 59 0.5× 52 0.4× 29 1.0k

Countries citing papers authored by Tonya L. Peeples

Since Specialization
Citations

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

Fields of papers citing papers by Tonya L. Peeples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonya L. Peeples. 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 Tonya L. Peeples. The network helps show where Tonya L. Peeples may publish in the future.

Co-authorship network of co-authors of Tonya L. Peeples

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

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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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