Takuma Kimura

45 papers receiving 783 citations

Peers

Takuma Kimura
Comparison fields: 5 of 102
  • Catalysis 94
  • Aging 12
  • Renewable Energy, Sustainability and the Environment 104
  • Biophysics 35
  • Endocrine and Autonomic Systems 38
Replace Jan M. Schuller with:
Jan M. Schuller Germany
Stefan Jäger Germany
Xunmin Guo United States
Ana P. Gámiz‐Hernández Germany
Omar Demerdash United States
Paul D. Barker United Kingdom
David von Stetten Germany
Bo Durbeej Sweden
Ramasubbu Sankararamakrishnan India
Iain J. Day United Kingdom
Takuma Kimura relative to Jan M. Schuller Germany Jan M. Schuller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Takuma Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Takuma Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200176
2 200574
3 199071
4 200468
5 201957
6 199050
7 198338
8 200936
9 200827
10 199027
11 200423
12 198822
13 198821
14 200320
15 198519
16 201717
17 198917
18 200416
19 200113
20 198913

About Takuma Kimura

Takuma Kimura is a scholar working on Materials Chemistry, Plant Science, Molecular Biology, Computational Mechanics and Genetics, having authored 47 papers that have together received 823 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Catalytic Processes in Materials Science (6 papers), Numerical methods in inverse problems (4 papers), Catalysts for Methane Reforming (4 papers), Plant Molecular Biology Research (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Catalysis and Oxidation Reactions (3 papers). The work is most often cited by research in Catalysis (94 citations), Aging (12 citations), Renewable Energy, Sustainability and the Environment (104 citations), Biophysics (35 citations) and Endocrine and Autonomic Systems (38 citations). Takuma Kimura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Atsushi Fukuoka, Masaru Ichikawa, Yoshihiro Nakajima, Yoshihiro Ohmiya, Masaaki Ikeda, Mitsuhiro T. Nakao, Takeshi Nakano, Tadao Asami, Takehiko Kinoshita and Sato Honma. Their work appears in journals such as Catalysis Letters, Journal of Computational and Applied Mathematics, Bioorganic & Medicinal Chemistry, Bioscience Biotechnology and Biochemistry and Planta.

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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