Kan Nobuta

2.8k citations
28 papers · 2.2k indexed · 1 hit paper · h-index 20

Impact in

    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant-Microbe Interactions and Immunity
    • Plant Stress Responses and Tolerance
    • Plant Disease Resistance and Genetics
    • Plant Virus Research Studies
    • Plant Reproductive Biology
    • Genomics and Phylogenetic Studies

Papers in

Kan Nobuta

28 papers receiving 2.1k citations

Hit Papers

Global identification of microRNA–target RNA pairs by parallel analysis of RNA ends 2008 · 678 citations
6782008202620142020200400600

Peers

Kan Nobuta
Comparison fields: 5 of 75
  • Plant Science 1.8k
  • Molecular Biology 1.2k
  • Endocrinology 80
  • Cancer Research 176
  • Molecular Medicine 32
Replace Matthew M. S. Evans with:
Matthew M. S. Evans United States
Pradeep Kumar Jain India
Manabu Yoshikawa Japan
Miho Ikeda Japan
Yuhai Cui Canada
Linda Margossian United States
Sergei A. Filichkin United States
Jingjuan Yu China
Jason S. Cumbie United States
Kriton Kalantidis Greece
Kan Nobuta relative to Matthew M. S. Evans United States Matthew M. S. Evans's profile →
Citations per field
00.5×2.7×
Matthew M. S. Evans · 1×
Citations per year

Countries citing papers authored by Kan Nobuta

Since Specialization
Citations

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

Fields of papers citing papers by Kan Nobuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201414
2 201332
3 201226
4 201171
5 201131
6 201021
7 200932
8 200964
9 200851
10
Global identification of microRNA–target RNA pairs by parallel analysis of RNA ends
Hit paper breakdown →
2008678
11 200817
12 2008148
13 20074
14 2007196
15 200648
16 200519
17 2004116
18 19928
19 198847
20 19882

About Kan Nobuta

Kan Nobuta is a scholar working on Tourism, Leisure and Hospitality Management, Plant Science, Molecular Biology, Molecular Medicine and Endocrinology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomics and Phylogenetic Studies (6 papers), Plant Molecular Biology Research (6 papers), Bacteriophages and microbial interactions (4 papers), Plant-Microbe Interactions and Immunity (4 papers), RNA modifications and cancer (4 papers), Plant Virus Research Studies (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Plant Science (1.8k citations), Molecular Biology (1.2k citations), Endocrinology (80 citations), Cancer Research (176 citations) and Molecular Medicine (32 citations). Kan Nobuta has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Blake C. Meyers, Pamela J. Green, Manoj Pillay, Cheng Lu, Dong‐Hoon Jeong, Rana German, Emanuele De Paoli, Roger W. Innes, R C Venu and Guo‐Liang Wang. Their work appears in journals such as The Plant Cell, Proceedings of the National Academy of Sciences, Nature Biotechnology, BMC Genomics and BMC Plant 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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