Amanda L. May

41 total papers · 995 total citations
23 papers, 689 citations indexed

About

Amanda L. May is a scholar working on Molecular Biology, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Amanda L. May has authored 23 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Amanda L. May's work include Bacterial biofilms and quorum sensing (6 papers), Microbial Community Ecology and Physiology (4 papers) and Per- and polyfluoroalkyl substances research (3 papers). Amanda L. May is often cited by papers focused on Bacterial biofilms and quorum sensing (6 papers), Microbial Community Ecology and Physiology (4 papers) and Per- and polyfluoroalkyl substances research (3 papers). Amanda L. May collaborates with scholars based in United States, China and Canada. Amanda L. May's co-authors include Shawn R. Campagna, Alison Buchan, Jessica Gooding, Ashley M. Frank, Christopher A. Gulvik, Jason P. Mooney, Gary R. LeCleir, Martin Wiselka, Frank E. Löffler and Daniel Jones and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Amanda L. May

22 papers receiving 675 citations

Author Peers

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

Author Last Decade Papers Cites
Amanda L. May 306 283 77 74 66 23 689
Orsola Päuker 489 1.6× 441 1.6× 98 1.3× 74 1.0× 58 0.9× 19 708
Danillo Oliveira Alvarenga 243 0.8× 362 1.3× 232 3.0× 118 1.6× 112 1.7× 37 758
N. M. Gorshkova 430 1.4× 311 1.1× 32 0.4× 42 0.6× 83 1.3× 32 775
Zhirui Zeng 346 1.1× 126 0.4× 115 1.5× 24 0.3× 85 1.3× 20 679
F. Torrella 257 0.8× 233 0.8× 50 0.6× 36 0.5× 115 1.7× 20 768
Gerasimos Anagnostopoulos 340 1.1× 164 0.6× 57 0.7× 26 0.4× 110 1.7× 35 730
Yusai Ito 261 0.9× 125 0.4× 79 1.0× 91 1.2× 75 1.1× 27 583
Inmaculada Meseguer 423 1.4× 341 1.2× 46 0.6× 16 0.2× 74 1.1× 25 708
Qing-lei Sun 237 0.8× 245 0.9× 97 1.3× 44 0.6× 43 0.7× 39 614
Maria Cristiana Papaleo 284 0.9× 242 0.9× 31 0.4× 21 0.3× 139 2.1× 24 658

Countries citing papers authored by Amanda L. May

Since Specialization
Citations

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

Fields of papers citing papers by Amanda L. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda L. May

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda L. May. A scholar is included among the top collaborators of Amanda L. May 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 Amanda L. May. Amanda L. May 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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