Peter Brodersen

11.1k citations
48 papers · 6.4k indexed · 4 hit papers · h-index 29

Peter Brodersen

48 papers receiving 6.3k citations

Hit Papers

Revisiting the principles of microRNA target recognition ...52420002026200820172505007501000

Peers

Peter Brodersen
Comparison fields: 5 of 93
  • Plant Science 4.9k
  • Molecular Biology 3.8k
  • Endocrinology 251
  • Cancer Research 596
  • Horticulture 28
Replace Allison C. Mallory with:
Allison C. Mallory France
Hui‐Shan Guo China
Craig S. Pikaard United States
Xiuren Zhang United States
Zhixin Xie United States
Rebecca Schwab Germany
Jixian Zhai China
Friedrich Kragler Germany
Michael Florian Mette Germany
Olga Pontes United States
Peter Brodersen relative to Allison C. Mallory France Allison C. Mallory's profile →
Citations per field
00.5×2.8×
Allison C. Mallory · 1×
Citations per year

Countries citing papers authored by Peter Brodersen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Brodersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20245
4 202410
5 202311
6 202327
7 202222
8 20229
9 202145
10 202154
11 202052
12 202039
13 202074
14 201920
15 2018224
16 201738
17 201283
18 2009240
19
Widespread Translational Inhibition by Plant miRNAs and siRNAsbreakdown →
20081134
20 2002330

About Peter Brodersen

Peter Brodersen is a scholar working on Plant Science, Molecular Biology and Virology, having authored 48 papers that have together received 6.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (21 papers), RNA modifications and cancer (14 papers), Plant-Microbe Interactions and Immunity (13 papers), RNA Research and Splicing (13 papers), Plant Virus Research Studies (8 papers), Plant Stress Responses and Tolerance (7 papers), HVDC Systems and Fault Protection (6 papers) and Plant Gene Expression Analysis (5 papers). The work is most often cited by research in Plant Science (4.9k citations), Molecular Biology (3.8k citations) and Endocrinology (251 citations). Peter Brodersen has collaborated with scholars based in Denmark, United States and France. Frequent co-authors include Olivier Voinnet, John Mundy, Morten Petersen, Lali Sakvarelidze-Achard, Leslie Sieburth, Patrice Dunoyer, Yoshiharu Y. Yamamoto, Laura Arribas‐Hernández, Henrik Bjørn Nielsen and Ole Mattsson. Their work appears in journals such as The Plant Cell, The EMBO Journal, PLANT PHYSIOLOGY, Nucleic Acids Research and Biochemical Journal.

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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