Matthew D. Whiteside
- Molecular Medicine top 2%
- Endocrinology top 2%
- Plant Science top 5%
- Mycorrhizal Fungi and Plant Interactions 7
- Legume Nitrogen Fixing Symbiosis 4
- Plant Parasitism and Resistance 2
- Genetics top 5%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 7
- Bacterial biofilms and quorum sensing 3
- RNA and protein synthesis mechanisms 3
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- Bacteriophages and microbial interactions 2
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- Salmonella and Campylobacter epidemiology 2
- Co-authors
- Fiona S. L. BrinkmanGeoffrey L. WinsorKathleen K. TresederRobert E. W. HancockR Y LoLouise FlemingThea Van RossumNancy Yu
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Matthew D. Whiteside
24 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Medicine 268
- Endocrinology 208
- Plant Science 570
- Genetics 379
- Molecular Biology 822
Countries citing papers authored by Matthew D. Whiteside
This map shows the geographic impact of Matthew D. Whiteside'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 Matthew D. Whiteside with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Whiteside more than expected).
Fields of papers citing papers by Matthew D. Whiteside
This network shows the impact of papers produced by Matthew D. Whiteside. 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 Matthew D. Whiteside. The network helps show where Matthew D. Whiteside may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew D. Whiteside, 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 | 2020 | 4 | |
| 2 | 2019 | 108 | |
| 3 | 2017 | 2 | |
| 4 | 2017 | 48 | |
| 5 | 2017 | 10 | |
| 6 | 2016 | 36 | |
| 7 | 2016 | 9 | |
| 8 | 2014 | 8 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 9 | |
| 11 | 2012 | 101 | |
| 12 | 2012 | 81 | |
| 13 | 2012 | 56 | |
| 14 | Pseudomonas Genome Database: improved comparative analysis and population genomics capability for Pseudomonas genomesbreakdown → | 2010 | 510 |
| 15 | 2010 | 31 | |
| 16 | 2010 | 63 | |
| 17 | 2010 | 2 | |
| 18 | 2009 | 122 | |
| 19 | 2009 | 12 | |
| 20 | 2008 | 210 |
About Matthew D. Whiteside
Matthew D. Whiteside is a scholar working on Aging, Endocrinology and Plant Science, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (7 papers), Genomics and Phylogenetic Studies (7 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Bacterial biofilms and quorum sensing (3 papers), RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Plant Parasitism and Resistance (2 papers). The work is most often cited by research in Molecular Medicine (268 citations), Endocrinology (208 citations) and Plant Science (570 citations). Matthew D. Whiteside has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Fiona S. L. Brinkman, Geoffrey L. Winsor, Kathleen K. Treseder, Robert E. W. Hancock, R Y Lo, Louise Fleming, Thea Van Rossum, Nancy Yu, Daniel Lam and Peter R. Atsatt. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.