Akane Kubota

1.7k citations
25 papers · 1.2k indexed · h-index 14

Akane Kubota

24 papers receiving 1.2k citations

Peers

Akane Kubota
Comparison fields: 5 of 78
  • Plant Science 984
  • Molecular Biology 739
  • Ecology, Evolution, Behavior and Systematics 150
  • Endocrine and Autonomic Systems 45
  • Physiology 21
Replace Mitsumasa Hanaoka with:
Mitsumasa Hanaoka Japan
Motomu Endo Japan
Younousse Saidi Switzerland
Kazunari Nozue United States
Luca Rizzini Germany
Pablo D. Cerdán Argentina
Matthew McCormack United States
Qiguang Xie China
Mathew S. Box United Kingdom
Mika Teranishi Japan
Akane Kubota relative to Mitsumasa Hanaoka Japan Mitsumasa Hanaoka's profile →
Citations per field
00.5×3.5×
Mitsumasa Hanaoka · 1×
Citations per year

Countries citing papers authored by Akane Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Akane Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20237
3 20236
4 202310
5 202316
6 202216
7 201912
8 201834
9 2018120
10 201833
11 201797
12 20156
13 201560
14 201487
15 2013215
16 200526
17
Elevated L-kynurenine level and its normalization by prednisolone in a patient with eosinophilia-myalgia syndrome.
19973
18 199620
19 19960
20 198358

About Akane Kubota

Akane Kubota is a scholar working on Plant Science, Endocrine and Autonomic Systems and Molecular Biology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Light effects on plants (12 papers), Photosynthetic Processes and Mechanisms (6 papers), Plant nutrient uptake and metabolism (4 papers), Single-cell and spatial transcriptomics (2 papers), Circadian rhythm and melatonin (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Plant Science (984 citations), Molecular Biology (739 citations) and Ecology, Evolution, Behavior and Systematics (150 citations). Akane Kubota has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takato Imaizumi, Jae Sung Shim, Takayuki Kohchi, Kimitsune Ishizaki, Ryuichi Nishihama, Young Hun Song, Katsuyuki T. Yamato, Dianne Laboy Cintrón, Michael S. Kwon and Andrew J. Millar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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