Rebecca Will
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Genomics and Phylogenetic Studies 4
- vaccines and immunoinformatics approaches 2
- Gene expression and cancer classification 1
- 14-3-3 protein interactions 1
- Ecology 2
- Bacteriophages and microbial interactions 2
- Co-authors
- Chunhong Mao (3 shared papers)Maulik Shukla (3 shared papers)Alice R. Wattam (3 shared papers)Ronald W. Kenyon (2 shared papers)John Santerre (1 shared paper)Sébastien Boisvert (1 shared paper)Thomas Brettin (1 shared paper)Fangfang Xia (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)Scientific Reports (1 paper)Tuberculosis (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Rebecca Will
7 papers receiving 229 citations
Peers
Comparison fields: 5 of 58
- Molecular Medicine 66
- Clinical Biochemistry 55
- Applied Microbiology and Biotechnology 13
- Infectious Diseases 43
- Microbiology 13
Countries citing papers authored by Rebecca Will
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
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-authors
The 25 scholars most cited alongside Rebecca Will, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 157 | |
| 2 | 2013 | 26 | |
| 3 | 2009 | 16 | |
| 4 | 2017 | 13 | |
| 5 | 2007 | 12 | |
| 6 | 2015 | 9 | |
| 7 | 2006 | 2 | |
| 8 | Genome Annotation and Comparison System. | 2006 | 0 |
About Rebecca Will
Rebecca Will is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Epidemiology and Clinical Biochemistry, having authored 8 papers that have together received 235 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), vaccines and immunoinformatics approaches (2 papers), Bacteriophages and microbial interactions (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Tuberculosis Research and Epidemiology (1 paper), Gene expression and cancer classification (1 paper), Mycobacterium research and diagnosis (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Molecular Medicine (66 citations), Clinical Biochemistry (55 citations), Applied Microbiology and Biotechnology (13 citations), Infectious Diseases (43 citations) and Microbiology (13 citations). Rebecca Will has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Chunhong Mao, Maulik Shukla, Alice R. Wattam, Ronald W. Kenyon, John Santerre, Sébastien Boisvert, Thomas Brettin, Fangfang Xia, Robert Olson and Ross Overbeek. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Tuberculosis, PLoS ONE and Bioinformatics.
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.