Rebecca Will

15 total papers · 2.2k total citations
8 papers, 233 citations indexed

About

Rebecca Will is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Rebecca Will has authored 8 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Rebecca Will's work include Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (2 papers) and vaccines and immunoinformatics approaches (2 papers). Rebecca Will is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (2 papers) and vaccines and immunoinformatics approaches (2 papers). Rebecca Will collaborates with scholars based in United States, Ireland and United Kingdom. Rebecca Will's co-authors include Chunhong Mao, Maulik Shukla, Ronald W. Kenyon, Sébastien Boisvert, Fangfang Xia, John Santerre, Thomas Brettin, Alice R. Wattam, Rick Stevens and James J. Davis and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Rebecca Will

7 papers receiving 227 citations

Author Peers

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

Author Last Decade Papers Cites
Rebecca Will 148 71 59 45 30 8 233
Natalia Kapel 141 1.0× 113 1.6× 41 0.7× 64 1.4× 34 1.1× 7 294
Hayley Wilson 96 0.6× 72 1.0× 41 0.7× 34 0.8× 28 0.9× 10 308
Michelle Su 118 0.8× 122 1.7× 102 1.7× 70 1.6× 34 1.1× 7 282
Martin Palm 118 0.8× 125 1.8× 61 1.0× 33 0.7× 19 0.6× 10 274
Kara K. Tsang 115 0.8× 124 1.7× 76 1.3× 41 0.9× 41 1.4× 15 300
Aline Cuénod 118 0.8× 52 0.7× 125 2.1× 71 1.6× 49 1.6× 15 309
Yannick Charretier 78 0.5× 123 1.7× 83 1.4× 42 0.9× 58 1.9× 13 259
John Santerre 99 0.7× 69 1.0× 58 1.0× 22 0.5× 11 0.4× 14 179
Hayley R. Nordstrom 78 0.5× 85 1.2× 35 0.6× 48 1.1× 45 1.5× 10 268
Stéphane Schicklin 77 0.5× 62 0.9× 48 0.8× 55 1.2× 50 1.7× 12 219

Countries citing papers authored by Rebecca Will

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Will

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