Laura T. Wey

37 total papers · 575 total citations
15 papers, 400 citations indexed

About

Laura T. Wey is a scholar working on Molecular Biology, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Laura T. Wey has authored 15 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Environmental Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Laura T. Wey's work include Microbial Fuel Cells and Bioremediation (8 papers), Photosynthetic Processes and Mechanisms (6 papers) and Electrochemical Analysis and Applications (3 papers). Laura T. Wey is often cited by papers focused on Microbial Fuel Cells and Bioremediation (8 papers), Photosynthetic Processes and Mechanisms (6 papers) and Electrochemical Analysis and Applications (3 papers). Laura T. Wey collaborates with scholars based in United Kingdom, Finland and Italy. Laura T. Wey's co-authors include Jenny Zhang, Christopher J. Howe, Joshua M. Lawrence, Xiaolong Chen, Paolo Bombelli, Qingshen Jing, Lukas Schertel, Sohini Kar‐Narayan, Stephen J. L. Rowden and Silvia Vignolini and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Materials.

In The Last Decade

Laura T. Wey

14 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Laura T. Wey 201 149 133 120 59 15 400
Joshua M. Lawrence 200 1.0× 145 1.0× 134 1.0× 98 0.8× 53 0.9× 13 375
Narendran Sekar 245 1.2× 136 0.9× 205 1.5× 134 1.1× 44 0.7× 13 418
Gadiel Saper 137 0.7× 108 0.7× 116 0.9× 168 1.4× 54 0.9× 13 430
Joshua T. Atkinson 122 0.6× 71 0.5× 120 0.9× 230 1.9× 88 1.5× 23 438
Stephen J. L. Rowden 246 1.2× 149 1.0× 133 1.0× 105 0.9× 28 0.5× 9 354
Koichi Nishio 282 1.4× 89 0.6× 199 1.5× 57 0.5× 38 0.6× 11 379
Bruno M. Fonseca 291 1.4× 56 0.4× 178 1.3× 141 1.2× 41 0.7× 19 394
Eva Sperling 146 0.7× 83 0.6× 100 0.8× 206 1.7× 12 0.2× 9 384
Lori Zacharoff 256 1.3× 31 0.2× 133 1.0× 135 1.1× 74 1.3× 9 416
Tom J. Zajdel 194 1.0× 43 0.3× 146 1.1× 107 0.9× 104 1.8× 15 397

Countries citing papers authored by Laura T. Wey

Since Specialization
Citations

This map shows the geographic impact of Laura T. Wey'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 Laura T. Wey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura T. Wey more than expected).

Fields of papers citing papers by Laura T. Wey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura T. Wey. 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 Laura T. Wey. The network helps show where Laura T. Wey may publish in the future.

Co-authorship network of co-authors of Laura T. Wey

This figure shows the co-authorship network connecting the top 25 collaborators of Laura T. Wey. A scholar is included among the top collaborators of Laura T. Wey 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 Laura T. Wey. Laura T. Wey 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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