Aaron J. Peoples

28 total papers · 3.5k total citations
15 papers, 589 citations indexed

About

Aaron J. Peoples is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Aaron J. Peoples has authored 15 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pharmacology and 3 papers in Organic Chemistry. Recurrent topics in Aaron J. Peoples's work include Microbial Natural Products and Biosynthesis (7 papers), Bacterial Genetics and Biotechnology (3 papers) and Genomics and Phylogenetic Studies (3 papers). Aaron J. Peoples is often cited by papers focused on Microbial Natural Products and Biosynthesis (7 papers), Bacterial Genetics and Biotechnology (3 papers) and Genomics and Phylogenetic Studies (3 papers). Aaron J. Peoples collaborates with scholars based in United States, Mexico and Germany. Aaron J. Peoples's co-authors include Losee L. Ling, Kim Lewis, Amy L. Spoering, Dallas E. Hughes, Ferruccio Galbiati, Daniela Volonté, Shugeng Cao, Olga Kandror, Ekaterina Gavrish and Mueller AU and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Organic Chemistry.

In The Last Decade

Aaron J. Peoples

15 papers receiving 582 citations

Author Peers

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

Author Last Decade Papers Cites
Aaron J. Peoples 412 213 113 80 77 15 589
Francesco Parenti 331 0.8× 159 0.7× 56 0.5× 54 0.7× 97 1.3× 21 592
Srinivas Kodali 271 0.7× 206 1.0× 60 0.5× 162 2.0× 126 1.6× 12 614
Huansheng Gong 380 0.9× 176 0.8× 37 0.3× 119 1.5× 78 1.0× 13 657
Ismaela Ciciliato 299 0.7× 220 1.0× 57 0.5× 54 0.7× 46 0.6× 10 548
Cristina Brunati 402 1.0× 354 1.7× 86 0.8× 121 1.5× 93 1.2× 30 654
George M. Luedemann 275 0.7× 274 1.3× 32 0.3× 81 1.0× 38 0.5× 16 600
J. L. OTT 372 0.9× 290 1.4× 133 1.2× 189 2.4× 117 1.5× 29 692
F Ripamonti 289 0.7× 250 1.2× 60 0.5× 207 2.6× 72 0.9× 18 539
Marlene L. Rathnum 247 0.6× 263 1.2× 65 0.6× 170 2.1× 23 0.3× 17 631
Maya Umekita 253 0.6× 206 1.0× 31 0.3× 119 1.5× 60 0.8× 25 503

Countries citing papers authored by Aaron J. Peoples

Since Specialization
Citations

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

Fields of papers citing papers by Aaron J. Peoples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Peoples. 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 Aaron J. Peoples. The network helps show where Aaron J. Peoples may publish in the future.

Co-authorship network of co-authors of Aaron J. Peoples

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

All Works

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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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