Mitsuhiro Aida

10.3k citations
52 papers · 8.0k indexed · 3 hit papers · h-index 32

Mitsuhiro Aida

50 papers receiving 7.9k citations

Hit Papers

The PIN auxin efflux facilitator network controls growth ...1.6k199720262006201650010001.5k

Peers

Mitsuhiro Aida
Comparison fields: 5 of 89
  • Plant Science 7.6k
  • Molecular Biology 6.5k
  • Ecology, Evolution, Behavior and Systematics 270
  • Horticulture 13
  • Biochemistry 78
Replace Jeff A. Long with:
Jeff A. Long United States
Thomas Berleth Canada
Gwyneth Ingram France
Frank Wellmer Ireland
Jungmook Kim South Korea
John J. Finer United States
Ari Pekka Mähönen Finland
Olga Pontes United States
Steven E. Clark United States
Robert Sablowski United Kingdom
Mitsuhiro Aida relative to Jeff A. Long United States Jeff A. Long's profile →
Citations per field
00.5×1.5×
Jeff A. Long · 1×
Citations per year

Countries citing papers authored by Mitsuhiro Aida

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Aida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202314
3 20218
4 202113
5 201960
6 201847
7 201673
8 201516
9 201480
10 2011107
11 201011
12 2009180
13 200837
14 2006477
15 2006292
16
The PIN auxin efflux facilitator network controls growth and patterning in Arabidopsis rootsbreakdown →
20051593
17 2005127
18
The PLETHORA Genes Mediate Patterning of the Arabidopsis Root Stem Cell Nichebreakdown →
2004919
19 200468
20 2000114

About Mitsuhiro Aida

Mitsuhiro Aida is a scholar working on Plant Science, Molecular Biology and Biochemistry, having authored 52 papers that have together received 8.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (49 papers), Plant Reproductive Biology (43 papers), Plant Gene Expression Analysis (12 papers), Plant nutrient uptake and metabolism (12 papers), Plant tissue culture and regeneration (7 papers), Photosynthetic Processes and Mechanisms (6 papers), Plant Stress Responses and Tolerance (3 papers) and Plant Parasitism and Resistance (3 papers). The work is most often cited by research in Plant Science (7.6k citations), Molecular Biology (6.5k citations) and Ecology, Evolution, Behavior and Systematics (270 citations). Mitsuhiro Aida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masao Tasaka, Tetsuya Ishida, Hidehiro Fukaki, Ikram Blilou, Ben Scheres, Renze Heidstra, Viola Willemsen, H. Fujisawa, Klaus Palme and Marjolein Wildwater. Their work appears in journals such as Development, Plant and Cell Physiology, The Plant Cell, The Plant Journal and Frontiers in Plant Science.

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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