Dan Bolser
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Plant Pathogens and Resistance
- Plant Molecular Biology Research
- Wheat and Barley Genetics and Pathology
Papers in
-
- Genomics and Phylogenetic Studies 8
- Bioinformatics and Genomic Networks 6
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 2
-
- Plant Pathogens and Resistance 3
- Co-authors
- Paul Kersey (5 shared papers)D. Staines (2 shared papers)Emily Perry (1 shared paper)Jonathan D. G. Jones (1 shared paper)Peter Cock (1 shared paper)Sanjeev Sharma (1 shared paper)Katrin Mackenzie (1 shared paper)Ingo Hein (1 shared paper)
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (2 papers)Frontiers in Plant Science (1 paper)Molecules and Cells (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United KingdomSouth KoreaGermany
In The Last Decade
Dan Bolser
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Plant Science 684
- Information Systems and Management 79
- Molecular Biology 709
- Genetics 155
- Cancer Research 64
Countries citing papers authored by Dan Bolser
This map shows the geographic impact of Dan Bolser'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 Dan Bolser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Bolser more than expected).
Fields of papers citing papers by Dan Bolser
This network shows the impact of papers produced by Dan Bolser. 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 Dan Bolser. The network helps show where Dan Bolser may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Bolser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 282 | |
| 2 | 2012 | 236 | |
| 3 | 2015 | 210 | |
| 4 | 2013 | 156 | |
| 5 | 2005 | 71 | |
| 6 | 2014 | 51 | |
| 7 | 2014 | 46 | |
| 8 | 2005 | 41 | |
| 9 | 2021 | 38 | |
| 10 | 2004 | 36 | |
| 11 | 2011 | 29 | |
| 12 | 2005 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2010 | 21 | |
| 15 | 2004 | 20 | |
| 16 | 2003 | 19 | |
| 17 | 2021 | 16 | |
| 18 | Conservation of protein interaction network in evolution. | 2001 | 16 |
| 19 | 2021 | 9 | |
| 20 | 2021 | 9 |
About Dan Bolser
Dan Bolser is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Immunology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Bioinformatics and Genomic Networks (6 papers), Protein Structure and Dynamics (5 papers), Plant Pathogens and Resistance (3 papers), Cancer Genomics and Diagnostics (2 papers), interferon and immune responses (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Plant Science (684 citations), Information Systems and Management (79 citations), Molecular Biology (709 citations), Genetics (155 citations) and Cancer Research (64 citations). Dan Bolser has collaborated with scholars based in United Kingdom, South Korea and Germany. Frequent co-authors include Paul Kersey, D. Staines, Emily Perry, Jonathan D. G. Jones, Peter Cock, Sanjeev Sharma, Katrin Mackenzie, Ingo Hein, Graham Etherington and Frank Wright. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Frontiers in Plant Science, Molecules and Cells and Briefings in 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.