John W. Wallis
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Cancer therapeutics and mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 4
- Fungal and yeast genetics research 3
- Genomics and Phylogenetic Studies 3
- Cancer therapeutics and mechanisms 2
- Genomics and Chromatin Dynamics 2
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Mark W. Rolfe (1 shared paper)Gary Chrebet (1 shared paper)Gary Brodsky (1 shared paper)Rodney Rothstein (1 shared paper)Michael Grunstein (3 shared papers)Elaine R. Mardis (6 shared papers)Richard K. Wilson (5 shared papers)Michael C. Wendl (2 shared papers)
- Journals
- Cell (4 papers)Bioinformatics (2 papers)Genome Research (2 papers)Journal of Clinical Oncology (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
John W. Wallis
12 papers receiving 2.0k citations
John W. Wallis's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 295
- Molecular Biology 1.4k
- Genetics 525
- Plant Science 394
- Toxicology 29
Countries citing papers authored by John W. Wallis
This map shows the geographic impact of John W. Wallis'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 John W. Wallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Wallis more than expected).
Fields of papers citing papers by John W. Wallis
This network shows the impact of papers produced by John W. Wallis. 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 John W. Wallis. The network helps show where John W. Wallis may publish in the future.
Co-authors
The 25 scholars most cited alongside John W. Wallis, 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 | BreakDancer: an algorithm for high-resolution mapping of genomic structural variation Hit paper breakdown → | 2009 | 1008 |
| 2 | A hyper-recombination mutation in S. cerevisiae identifies a novel eukaryotic topoisomerase Hit paper breakdown → | 1989 | 484 |
| 3 | 1980 | 114 | |
| 4 | 1981 | 93 | |
| 5 | 2012 | 91 | |
| 6 | 1983 | 64 | |
| 7 | 2011 | 59 | |
| 8 | 2012 | 40 | |
| 9 | 2006 | 20 | |
| 10 | 2013 | 18 | |
| 11 | 1994 | 7 | |
| 12 | 2012 | 2 |
About John W. Wallis
John W. Wallis is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Genetics, having authored 12 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Fungal and yeast genetics research (3 papers), Genomics and Phylogenetic Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer therapeutics and mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Cancer Research (295 citations), Molecular Biology (1.4k citations), Genetics (525 citations), Plant Science (394 citations) and Toxicology (29 citations). John W. Wallis has collaborated with scholars based in United States and Canada. Frequent co-authors include Mark W. Rolfe, Gary Chrebet, Gary Brodsky, Rodney Rothstein, Michael Grunstein, Elaine R. Mardis, Richard K. Wilson, Michael C. Wendl, Michael D. McLellan and Robert S. Fulton. Their work appears in journals such as Cell, Bioinformatics, Genome Research, Journal of Clinical Oncology and Nature Methods.
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.