Dan Bolser

8.6k citations
29 papers · 1.5k · h-index 17

Impact in

    • Plant Disease Resistance and Genetics
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogens and Resistance
    • Wheat and Barley Genetics and Pathology
    • Plant Molecular Biology Research

Papers in

    • Genomics and Phylogenetic Studies 9
    • Bioinformatics and Genomic Networks 6
    • Protein Structure and Dynamics 5
    • Plant Pathogens and Resistance 3
    • Wheat and Barley Genetics and Pathology 3

Dan Bolser

29 papers receiving 1.4k citations

Peers

Dan Bolser
Comparison fields: 5 of 95
  • Plant Science 725
  • Information Systems and Management 88
  • Molecular Biology 756
  • Genetics 165
  • Cancer Research 65
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Citations per field
00.5×1.5×2.4×
Andrew Yates · 1×
Citations per year

Countries citing papers authored by Dan Bolser

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Bolser Line = papers co-authored together Dan Bolser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016295
2 2012246
3 2015227
4 2013172
5 200572
6 201451
7 201450
8 200545
9 200440
10 202139
11 201131
12 200527
13 202024
14 201024
15 200420
16 200320
17
Conservation of protein interaction network in evolution.
200117
18 202116
19 20219
20 20219

About Dan Bolser

Dan Bolser is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Immunology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (6 papers), Protein Structure and Dynamics (5 papers), Plant Pathogens and Resistance (3 papers), Wheat and Barley Genetics and Pathology (3 papers), Cancer Genomics and Diagnostics (2 papers), interferon and immune responses (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Plant Science (725 citations), Information Systems and Management (88 citations), Molecular Biology (756 citations), Genetics (165 citations) and Cancer Research (65 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, Graham Etherington, Peter Cock, Frank Wright, Ingo Hein, Katrin Mackenzie, Glenn J. Bryan and Leighton Pritchard. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Frontiers in Genetics, Molecular Ecology Resources and Frontiers in Plant Science.

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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