Alex Washburne

43 total papers · 6.1k total citations
17 papers, 1.8k citations indexed

About

Alex Washburne is a scholar working on Molecular Biology, Ecology and Modeling and Simulation. According to data from OpenAlex, Alex Washburne has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Ecology and 3 papers in Modeling and Simulation. Recurrent topics in Alex Washburne's work include Microbial Community Ecology and Physiology (8 papers), Gut microbiota and health (7 papers) and Polar Research and Ecology (3 papers). Alex Washburne is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Gut microbiota and health (7 papers) and Polar Research and Ecology (3 papers). Alex Washburne collaborates with scholars based in United States, Switzerland and Luxembourg. Alex Washburne's co-authors include Justin D. Silverman, Sayan Mukherjee, Lawrence A. David, James T. Morton, Anna Edlund, Clarisse Marotz, Karsten Zengler, Lívia S. Zaramela, Rob Knight and Marie Simonin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Ecology.

In The Last Decade

Alex Washburne

17 papers receiving 1.8k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Alex Washburne 808 656 421 336 106 17 1.8k
Serena Manara 1.6k 2.0× 656 1.0× 402 1.0× 191 0.6× 106 1.0× 14 2.3k
Kathryn M. Kauffman 897 1.1× 730 1.1× 990 2.4× 349 1.0× 104 1.0× 24 2.2k
Chia Lin Wei 611 0.8× 683 1.0× 298 0.7× 104 0.3× 44 0.4× 12 1.6k
Claire Duvallet 972 1.2× 941 1.4× 103 0.2× 418 1.2× 148 1.4× 22 2.0k
Peter Menzel 1.0k 1.3× 344 0.5× 713 1.7× 147 0.4× 52 0.5× 76 2.3k
Julian Zaugg 441 0.5× 1.3k 2.0× 170 0.4× 671 2.0× 143 1.3× 29 2.0k
Xiaoqiong Gu 412 0.5× 951 1.4× 97 0.2× 439 1.3× 130 1.2× 30 1.5k
Kristen Earle 1.1k 1.3× 725 1.1× 210 0.5× 51 0.2× 48 0.5× 14 2.0k
Jimmy C. C. Lai 318 0.4× 196 0.3× 194 0.5× 177 0.5× 27 0.3× 14 1.4k
Tom Slezak 828 1.0× 393 0.6× 304 0.7× 105 0.3× 109 1.0× 31 1.8k

Countries citing papers authored by Alex Washburne

Since Specialization
Citations

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

Fields of papers citing papers by Alex Washburne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Washburne. 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 Alex Washburne. The network helps show where Alex Washburne may publish in the future.

Co-authorship network of co-authors of Alex Washburne

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Washburne. A scholar is included among the top collaborators of Alex Washburne 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 Alex Washburne. Alex Washburne 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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