Daichi Yukihira

919 citations
9 papers · 684 indexed · 1 hit paper · h-index 8
Topics
Metabolomics and Mass Spectrometry Studies (8 papers)Analytical Chemistry and Chromatography (5 papers)Mass Spectrometry Techniques and Applications (4 papers)

In The Last Decade

Daichi Yukihira

9 papers receiving 678 citations

Hit Papers

Hydrogen Rearrangement Rules: Computational MS/MS Fragmen...20162026201920222016100200300400

Peers

Daichi Yukihira
Comparison fields: 5 of 101
  • Molecular Biology 467
  • Spectroscopy 242
  • Plant Science 87
  • Biomedical Engineering 86
  • Food Science 69
Replace Mikiko Takahashi with:
Mikiko Takahashi Japan
Jarkko Miettinen Finland
Zijuan Lai United States
Cornelia Wagner Germany
Aries Aisporna United States
Arpana Vaniya United States
Claire L. Gavaghan United Kingdom
Ruohong Wang China
Robert Mistrík United States
Wen‐Jing Cai China
Daichi Yukihira relative to Mikiko Takahashi Japan Mikiko Takahashi's profile →
Citations per field
00.5×3.9×
Mikiko Takahashi · 1×
Citations per year

Countries citing papers authored by Daichi Yukihira

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Yukihira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Yukihira

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Yukihira. A scholar is included among the top collaborators of Daichi Yukihira 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 Yukihira. Daichi Yukihira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 14
2
Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Softwarebreakdown →
496
3 3
4 29
5 37
6 11
7 37
8 18
9 39

About Daichi Yukihira

Daichi Yukihira is a scholar working on Spectroscopy, Molecular Biology and Computational Theory and Mathematics, having authored 9 papers that have together received 684 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Spectroscopy (242 citations), Molecular Biology (467 citations) and Biochemistry (34 citations). Daichi Yukihira has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Hiroshi Tsugawa, Masanori Arita, Kazuki Saito, Tobias Kind, Tomáš Čajka, Wataru Tanaka, Ryo Nakabayashi, Oliver Fiehn, Hiroyuki Wariishi and Daisuke Miura. Their work appears in journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Scientific Reports.

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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