Daichi Nakamura

629 total citations
20 papers, 473 citations indexed

About

Daichi Nakamura is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Pharmacology. According to data from OpenAlex, Daichi Nakamura has authored 20 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 4 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Daichi Nakamura's work include Drug-Induced Hepatotoxicity and Protection (4 papers), Quantum Mechanics and Non-Hermitian Physics (4 papers) and Topological Materials and Phenomena (4 papers). Daichi Nakamura is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (4 papers), Quantum Mechanics and Non-Hermitian Physics (4 papers) and Topological Materials and Phenomena (4 papers). Daichi Nakamura collaborates with scholars based in Japan and United States. Daichi Nakamura's co-authors include Ai Okamura, Yuki Ito, Yukie Yanagiba, Kazuyoshi Taya, Yoshiaki Tagawa, Nobuyuki Asaeda, Chun Mei Li, Zhiwen Duan, Masatoshi Sato and Nobuyuki Ōkuma and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Food and Chemical Toxicology.

In The Last Decade

Daichi Nakamura

20 papers receiving 455 citations

Peers

Daichi Nakamura
Comparison fields: 5 of 101
  • Health, Toxicology and Mutagenesis 209
  • Molecular Biology 78
  • Cancer Research 75
  • Atomic and Molecular Physics, and Optics 58
  • Plant Science 48
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V. Labrador Spain
Elisabeth Diem Austria
Paul Wackers Netherlands
Leo E. Hill United States
Fumiko Yasukawa Japan
Juan Wu China
A. B. Gapeyev Russia
Charles E. Zogzas United States
Todd J. Zurlinden United States
Taina Palosaari Italy
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Citations per field, relative to Daichi Nakamura
Daichi Nakamura · 1×
Citations per year, relative to Daichi Nakamura
Daichi Nakamura · 1×

Countries citing papers authored by Daichi Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Nakamura. A scholar is included among the top collaborators of Daichi Nakamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daichi Nakamura. Daichi Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 15
3 18
4 11
5 22
6 11
7 15
8 8
9
Safety Evaluation of A-mix (5)-13-week Oral Toxicity Study in Rats-
1
10 6
11 16
12 7
13 9
14 6
15 13
16 212
17 2
18 38
19 18
20 44

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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