Thomas S. Ream

3.2k citations
24 papers · 2.5k indexed · 1 hit paper · h-index 19

Thomas S. Ream

24 papers receiving 2.4k citations

Hit Papers

Plant Nuclear RNA Polymerase IV Mediates siRNA and DNA Me...5042005202620122019100200300400500

Peers

Thomas S. Ream
Comparison fields: 5 of 64
  • Plant Science 2.1k
  • Molecular Biology 1.4k
  • Endocrinology 84
  • Horticulture 11
  • Genetics 234
Replace Jihua Ding with:
Jihua Ding China
Leor Eshed Williams Israel
Elena Ramírez-Parra Spain
Vladimir Brukhin Russia
Joseph P. Gallagher United States
Matthew M. S. Evans United States
Alice Pajoro Netherlands
Margaret Woodhouse United States
Alexis Sarazin Switzerland
Todd Blevins United States
Thomas S. Ream relative to Jihua Ding China Jihua Ding's profile →
Citations per field
00.5×1.5×1.8×
Jihua Ding · 1×
Citations per year

Countries citing papers authored by Thomas S. Ream

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20206
3 201928
4 201812
5 201522
6 201461
7 201424
8 201336
9 2012158
10 201221
11 201285
12 201049
13 2009344
14 2008199
15 2008134
16 200838
17 2006357
18
Plant Nuclear RNA Polymerase IV Mediates siRNA and DNA Methylation-Dependent Heterochromatin Formationbreakdown →
2005504
19 20059
20 200313

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.

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