Dan Forrest
Impact in
-
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Biomedical Engineering top 10%
- Nanopore and Nanochannel Transport Studies
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
Papers in ⓘ
- Ecology 4
- Microbial Community Ecology and Physiology 3
-
- Genomics and Phylogenetic Studies 7
- Advanced biosensing and bioanalysis techniques 2
- Protist diversity and phylogeny 2
- Co-authors
- David C. Schwartz (10 shared papers)Rod Runnheim (7 shared papers)Kyubong Jo (1 shared paper)Dalia Dhingra (1 shared paper)Michael D. Graham (1 shared paper)Juan Pablo (1 shared paper)Theo Odijk (1 shared paper)Shiguo Zhou (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)BMC Genomics (1 paper)PLoS Genetics (1 paper)Genome Research (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Dan Forrest
10 papers receiving 735 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 489
- Biomedical Engineering 262
- Physical and Theoretical Chemistry 49
- Plant Science 198
- Structural Biology 6
Countries citing papers authored by Dan Forrest
This map shows the geographic impact of Dan Forrest'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 Forrest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Forrest more than expected).
Fields of papers citing papers by Dan Forrest
This network shows the impact of papers produced by Dan Forrest. 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 Forrest. The network helps show where Dan Forrest may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Forrest, 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 | 2007 | 265 | |
| 2 | 2010 | 126 | |
| 3 | 2009 | 99 | |
| 4 | 2007 | 82 | |
| 5 | 2005 | 52 | |
| 6 | 2003 | 40 | |
| 7 | 2004 | 34 | |
| 8 | 2008 | 31 | |
| 9 | 2009 | 27 | |
| 10 | 2005 | 3 |
About Dan Forrest
Dan Forrest is a scholar working on Ecology, Molecular Biology, Biotechnology, Genetics and Plant Science, having authored 10 papers that have together received 759 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (3 papers), Microbial Community Ecology and Physiology (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Protist diversity and phylogeny (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Plant nutrient uptake and metabolism (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (489 citations), Biomedical Engineering (262 citations), Physical and Theoretical Chemistry (49 citations), Plant Science (198 citations) and Structural Biology (6 citations). Dan Forrest has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include David C. Schwartz, Rod Runnheim, Kyubong Jo, Dalia Dhingra, Michael D. Graham, Juan Pablo, Theo Odijk, Shiguo Zhou, Chris Churas and Steve Goldstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, PLoS Genetics, Genome Research and Protein Expression and Purification.
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.