Stephen Rudd

6.2k citations
46 papers · 3.0k indexed · 1 hit paper · h-index 25

Stephen Rudd

46 papers receiving 2.9k citations

Hit Papers

An RNA-Dependent RNA Polymerase Gene in Arabidopsis Is Re...8322000202620082017250500750

Peers

Stephen Rudd
Comparison fields: 5 of 110
  • Plant Science 1.7k
  • Endocrinology 167
  • Paleontology 174
  • Biotechnology 194
  • Molecular Biology 1.5k
Replace Corinne Da Silva with:
Corinne Da Silva France
Hajk‐Georg Drost Germany
Sofia Robb United States
Eric Ross United States
Carmen Collada Spain
Maria D. Logacheva Russia
Keith Bradnam United States
Richard Hooley United Kingdom
Matthew A. Campbell United States
Mary L. Berbee Canada
Stephen Rudd relative to Corinne Da Silva France Corinne Da Silva's profile →
Citations per field
00.5×3.3×
Corinne Da Silva · 1×
Citations per year

Countries citing papers authored by Stephen Rudd

Since Specialization
Citations

This map shows the geographic impact of Stephen Rudd'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 Stephen Rudd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Rudd more than expected).

Fields of papers citing papers by Stephen Rudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Rudd. 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 Stephen Rudd. The network helps show where Stephen Rudd may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stephen Rudd, 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 Stephen Rudd Line = papers co-authored together Stephen Rudd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20182
2 201333
3 201220
4 200844
5 2008113
6 200715
7 200717
8 200687
9 200612
10 200573
11 200528
12 200519
13 2005186
14 200418
15 200476
16 200428
17 200471
18 200339
19 2003202
20
An RNA-Dependent RNA Polymerase Gene in Arabidopsis Is Required for Posttranscriptional Gene Silencing Mediated by a Transgene but Not by a Virusbreakdown →
2000832

About Stephen Rudd

Stephen Rudd is a scholar working on Plant Science, Paleontology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Genetics, having authored 46 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Plant Reproductive Biology (6 papers), Plant Disease Resistance and Genetics (5 papers), Chromosomal and Genetic Variations (5 papers), Lichen and fungal ecology (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Botany and Plant Ecology Studies (4 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Plant Science (1.7k citations), Endocrinology (167 citations), Paleontology (174 citations), Biotechnology (194 citations) and Molecular Biology (1.5k citations). Stephen Rudd has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include David C. Baulcombe, Tamás Dalmay, Susan Angell, Andrew J. Hamilton, David C. Hayward, Eldon E. Ball, Lauretta C. Grasso, Robert Saint, David J. Miller and Klaus Mayer. Their work appears in journals such as BMC Genomics, Nucleic Acids Research, Molecular Genetics and Genomics, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Genome 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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