Dan Vanderpool
-
- Plant and animal studies 4
- Insect Science top 1%
- Insect symbiosis and bacterial influences 4
- Ecological Modeling top 5%
- Horticulture top 5%
- Genetics top 2%
- Genetic diversity and population structure 9
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
-
- Mycorrhizal Fungi and Plant Interactions 5
-
- Genomics and Phylogenetic Studies 5
-
- Forest Insect Ecology and Management 5
-
- Plant Pathogens and Fungal Diseases 4
- Co-authors
- Jeffrey M. GoodKe BiMatthew W. HahnBen FultonFábio K. MendesCraig MoritzTyler LinderothJohn P. McCutcheon
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Dan Vanderpool
28 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Ecology, Evolution, Behavior and Systematics 844
- Insect Science 499
- Ecological Modeling 156
- Horticulture 27
- Genetics 787
Countries citing papers authored by Dan Vanderpool
This map shows the geographic impact of Dan Vanderpool'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 Vanderpool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Vanderpool more than expected).
Fields of papers citing papers by Dan Vanderpool
This network shows the impact of papers produced by Dan Vanderpool. 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 Vanderpool. The network helps show where Dan Vanderpool may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Vanderpool, 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 | 2022 | 10 | |
| 2 | 2022 | 24 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 7 | |
| 5 | CAFE 5 models variation in evolutionary rates among gene familiesbreakdown → | 2020 | 396 |
| 6 | 2020 | 9 | |
| 7 | 2020 | 61 | |
| 8 | 2019 | 67 | |
| 9 | 2019 | 185 | |
| 10 | 2019 | 59 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 34 | |
| 13 | 2017 | 31 | |
| 14 | Basidiomycete yeasts in the cortex of ascomycete macrolichensbreakdown → | 2016 | 377 |
| 15 | 2016 | 49 | |
| 16 | 2016 | 23 | |
| 17 | 2015 | 40 | |
| 18 | 2013 | 296 | |
| 19 | 2012 | 211 | |
| 20 | 2010 | 10 |
About Dan Vanderpool
Dan Vanderpool is a scholar working on Horticulture, Aging, Insect Science, Ecology, Evolution, Behavior and Systematics and Ecological Modeling, having authored 28 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Genomics and Phylogenetic Studies (5 papers), Forest Insect Ecology and Management (5 papers), Insect symbiosis and bacterial influences (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Plant and animal studies (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (844 citations), Insect Science (499 citations), Ecological Modeling (156 citations), Horticulture (27 citations) and Genetics (787 citations). Dan Vanderpool has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Jeffrey M. Good, Ke Bi, Matthew W. Hahn, Ben Fulton, Fábio K. Mendes, Craig Moritz, Tyler Linderoth, John P. McCutcheon, Rasmus Nielsen and Toby Spribille. Their work appears in journals such as Molecular Biology and Evolution, Genetics, Current Biology, BMC Genomics and Molecular Ecology.
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.