Naoki Kimura

990 citations
30 papers · 765 indexed · h-index 13

Impact in

Papers in

Naoki Kimura

26 papers receiving 714 citations

Peers

Naoki Kimura
Comparison fields: 5 of 83
  • Developmental Neuroscience 106
  • Computational Theory and Mathematics 138
  • Algebra and Number Theory 33
  • Organic Chemistry 205
  • Inorganic Chemistry 79
Replace Christina Esdar with:
Christina Esdar Germany
Svetlana Belyanskaya United States
Hongguang Pan United States
Nathalie Desban France
Andrea Missio Italy
Zhiqiang Dong China
Kelli Glenn United States
Presha Rajbhandari United States
Linda Sleire Norway
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Naoki Kimura relative to Christina Esdar Germany Christina Esdar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Naoki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 20213
5 20203
6 201817
7 201776
8 20142
9 20087
10 200831
11 20048
12 1999279
13 199550
14 19951
15
Immunoglobulin and T cell receptor gene rearrangements in Philadelphia chromosome-positive leukemia: a different involvement pattern in blast crisis and acute leukemia.
19909
16 197816
17 19588
18 195863
19 19545
20 19541

About Naoki Kimura

Naoki Kimura is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Discrete Mathematics and Combinatorics, Organic Chemistry and Neurology, having authored 30 papers that have together received 765 indexed citations. Recurring topics across this work include semigroups and automata theory (9 papers), Catalytic C–H Functionalization Methods (6 papers), Fuzzy and Soft Set Theory (5 papers), Cyclopropane Reaction Mechanisms (3 papers), Advanced Algebra and Logic (3 papers), Synthesis and Catalytic Reactions (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Developmental Neuroscience (106 citations), Computational Theory and Mathematics (138 citations), Algebra and Number Theory (33 citations), Organic Chemistry (205 citations) and Inorganic Chemistry (79 citations). Naoki Kimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Fumitoshi Kakiuchi, Takuya Kochi, Stefan Wiese, Tatsuhiro Hisatsune, Kanji Yoshida, Tadamitsu Kishimoto, Hirokazu Arakawa, Michael Sendtner, Makoto Yanagisawa and Kinichi Nakashima. Their work appears in journals such as Semigroup Forum, Journal of the American Chemical Society, Asian Journal of Organic Chemistry, Journal of Neuroscience and Pacific Journal of Mathematics.

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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