Seung Y. Rhee

18.8k citations
101 papers · 11.7k indexed · 3 hit papers · h-index 44
  • Plant Science top 0.1%
    • Plant Molecular Biology Research 17
    • Plant nutrient uptake and metabolism 13
    • Bioinformatics and Genomic Networks 23
    • Genomics and Phylogenetic Studies 19
    • Microbial Metabolic Engineering and Bioproduction 16
    • Photosynthetic Processes and Mechanisms 15
    • Gene expression and cancer classification 13
    • Plant Gene Expression Analysis 11
  • Genetics top 2%

Seung Y. Rhee

96 papers receiving 11.5k citations

Hit Papers

Integration of Brassinosteroid Signal Transduction with t...758200320262010201850010001.5k2.0k2.5k

Peers

Seung Y. Rhee
Comparison fields: 5 of 175
  • Plant Science 6.6k
  • Molecular Biology 7.9k
  • Horticulture 65
  • Biochemistry 248
  • Genetics 868
Replace Dong Xu with:
Dong Xu United States
Gustavo A Salazar United Kingdom
Ge Gao China
Nicholas J. Provart Canada
Lorna Richardson United Kingdom
Matloob Qureshi United Kingdom
Doreen Ware United States
Uwe Scholz Germany
Peter D. Karp United States
Eva Huala United States
Seung Y. Rhee relative to Dong Xu United States Dong Xu's profile →
Citations per field
00.5×1.5×2.0×
Dong Xu · 1×
Citations per year

Countries citing papers authored by Seung Y. Rhee

Since Specialization
Citations

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

Fields of papers citing papers by Seung Y. Rhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Y. Rhee. 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 Seung Y. Rhee. The network helps show where Seung Y. Rhee may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20232
5 20221
6 20226
7 20223
8 2021165
9 2021112
10 202130
11 202152
12 202186
13 20203
14 201943
15 2014207
16 201056
17 200635
18 2004202
19 20038
20 199912

About Seung Y. Rhee

Seung Y. Rhee is a scholar working on Molecular Biology, Plant Science and Biophysics, having authored 101 papers that have together received 11.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (23 papers), Genomics and Phylogenetic Studies (19 papers), Plant Molecular Biology Research (17 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), Photosynthetic Processes and Mechanisms (15 papers), Gene expression and cancer classification (13 papers), Plant nutrient uptake and metabolism (13 papers) and Plant Gene Expression Analysis (11 papers). The work is most often cited by research in Plant Science (6.6k citations), Molecular Biology (7.9k citations) and Horticulture (65 citations). Seung Y. Rhee has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Axel Nagel, Oliver E. Bläsing, Joachim Selbig, Yves Gibon, Oliver Thimm, Peter Krüger, Mark Stitt, Svenja Meyer, Jonathan Bard and Lukas A. Mueller. Their work appears in journals such as Nature, Science and Cell.

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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