Daniel M. Hayden
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Wheat and Barley Genetics and Pathology
- Agronomy and Crop Science top 5%
- Bioenergy crop production and management
Papers in
-
- Genomics and Phylogenetic Studies 2
- Photosynthetic Processes and Mechanisms 2
-
- Chromosomal and Genetic Variations 3
- Wheat and Barley Genetics and Pathology 2
- Co-authors
- Katayoon Dehesh (3 shared papers)John P. Vogel (4 shared papers)Jason Corwin (2 shared papers)Daniel J. Kliebenstein (2 shared papers)Vladimir Tolstikov (1 shared paper)Jay D. Keasling (1 shared paper)Tatyana Savchenko (1 shared paper)Yanmei Xiao (1 shared paper)
- Journals
- Theoretical and Applied Genetics (2 papers)Genome (1 paper)Functional & Integrative Genomics (1 paper)Genome Research (1 paper)Plant Cell Tissue and Organ Culture (PCTOC) (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Daniel M. Hayden
11 papers receiving 862 citations
Peers
Comparison fields: 5 of 62
- Plant Science 572
- Agronomy and Crop Science 113
- Biochemistry 64
- Molecular Biology 558
- Biochemistry 34
Countries citing papers authored by Daniel M. Hayden
This map shows the geographic impact of Daniel M. Hayden'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 Daniel M. Hayden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Hayden more than expected).
Fields of papers citing papers by Daniel M. Hayden
This network shows the impact of papers produced by Daniel M. Hayden. 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 Daniel M. Hayden. The network helps show where Daniel M. Hayden may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Hayden, 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 | 2012 | 332 | |
| 2 | 2006 | 120 | |
| 3 | 2006 | 103 | |
| 4 | 2007 | 72 | |
| 5 | 2008 | 54 | |
| 6 | 2005 | 45 | |
| 7 | 2015 | 37 | |
| 8 | 2010 | 36 | |
| 9 | 2006 | 33 | |
| 10 | 2011 | 28 | |
| 11 | 2003 | 12 |
About Daniel M. Hayden
Daniel M. Hayden is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Genetics, having authored 11 papers that have together received 872 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Plant Taxonomy and Phylogenetics (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Genomics and Phylogenetic Studies (2 papers), Biofuel production and bioconversion (2 papers), Lipid metabolism and biosynthesis (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Bioenergy crop production and management (2 papers). The work is most often cited by research in Plant Science (572 citations), Agronomy and Crop Science (113 citations), Biochemistry (64 citations), Molecular Biology (558 citations) and Biochemistry (34 citations). Daniel M. Hayden has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Katayoon Dehesh, John P. Vogel, Jason Corwin, Daniel J. Kliebenstein, Vladimir Tolstikov, Jay D. Keasling, Tatyana Savchenko, Yanmei Xiao, Edward E. K. Baidoo and David F. Garvin. Their work appears in journals such as Theoretical and Applied Genetics, Genome, Functional & Integrative Genomics, Genome Research and Plant Cell Tissue and Organ Culture (PCTOC).
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.