Thomas S. Ream
- Plant Science top 1%
- Plant Molecular Biology Research 17
- Chromosomal and Genetic Variations 9
- Plant Virus Research Studies 6
- Plant Stress Responses and Tolerance 3
- Molecular Biology top 5%
- Plant Reproductive Biology 8
- Plant tissue culture and regeneration 4
- Endocrinology top 5%
- Horticulture top 10%
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals 3
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- Bioenergy crop production and management 4
- Co-authors
- Craig S. PikaardJeremy R. HaagAndrzej WierzbickiOlga PontesPedro Costa NunesYasuyuki OnoderaDaniel P. WoodsRichard M. Amasino
- Partner nations
- United StatesJapanChina
In The Last Decade
Thomas S. Ream
24 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Plant Science 2.1k
- Molecular Biology 1.4k
- Endocrinology 84
- Horticulture 11
- Genetics 234
Countries citing papers authored by Thomas S. Ream
This map shows the geographic impact of Thomas S. Ream'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 Thomas S. Ream with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas S. Ream more than expected).
Fields of papers citing papers by Thomas S. Ream
This network shows the impact of papers produced by Thomas S. Ream. 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 Thomas S. Ream. The network helps show where Thomas S. Ream may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas S. Ream, 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 | 2024 | 1 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 12 | |
| 5 | 2015 | 22 | |
| 6 | 2014 | 61 | |
| 7 | 2014 | 24 | |
| 8 | 2013 | 36 | |
| 9 | 2012 | 158 | |
| 10 | 2012 | 21 | |
| 11 | 2012 | 85 | |
| 12 | 2010 | 49 | |
| 13 | 2009 | 344 | |
| 14 | 2008 | 199 | |
| 15 | 2008 | 134 | |
| 16 | 2008 | 38 | |
| 17 | 2006 | 357 | |
| 18 | Plant Nuclear RNA Polymerase IV Mediates siRNA and DNA Methylation-Dependent Heterochromatin Formationbreakdown → | 2005 | 504 |
| 19 | 2005 | 9 | |
| 20 | 2003 | 13 |
About Thomas S. Ream
Thomas S. Ream is a scholar working on Plant Science, Agronomy and Crop Science, Molecular Biology, Endocrinology and Genetics, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Chromosomal and Genetic Variations (9 papers), Plant Reproductive Biology (8 papers), Plant Virus Research Studies (6 papers), Bioenergy crop production and management (4 papers), Plant tissue culture and regeneration (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Plant Stress Responses and Tolerance (3 papers). The work is most often cited by research in Plant Science (2.1k citations), Molecular Biology (1.4k citations), Endocrinology (84 citations), Horticulture (11 citations) and Genetics (234 citations). Thomas S. Ream has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Craig S. Pikaard, Jeremy R. Haag, Andrzej Wierzbicki, Olga Pontes, Pedro Costa Nunes, Yasuyuki Onodera, Daniel P. Woods, Richard M. Amasino, Alexa P. Vitins and Angela Norbeck. Their work appears in journals such as Genetics, Theoretical and Applied Genetics, Molecular Cell, Cell and Cold Spring Harbor Symposia on Quantitative Biology.
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.