Atsushi Ogiwara

5.2k citations
23 papers · 1.0k indexed · 1 hit paper · h-index 13
Topics
Metabolomics and Mass Spectrometry Studies (7 papers)Advanced Proteomics Techniques and Applications (6 papers)Genomics and Phylogenetic Studies (5 papers)

In The Last Decade

Atsushi Ogiwara

21 papers receiving 1.0k citations

Hit Papers

Identifying metabolites by integrating metabolome databas...20172026202020232017100200300400

Peers

Atsushi Ogiwara
Comparison fields: 5 of 127
  • Molecular Biology 715
  • Spectroscopy 187
  • Plant Science 94
  • Biomedical Engineering 90
  • Cell Biology 87
Replace Margrét Þorsteinsdóttir with:
Margrét Þorsteinsdóttir Iceland
Xiaolan Shen United States
Andrew W. Schultz United States
Kazuhiro Fujita Japan
Ivana Blaženović United States
Sheryl L. Stamer United States
Gregory A. Barding United States
Yuping Chen United States
Yasunori Kushi Japan
Katsuhiro Ueda Japan
Atsushi Ogiwara relative to Margrét Þorsteinsdóttir Iceland Margrét Þorsteinsdóttir's profile →
Citations per field
00.5×2.7×
Margrét Þorsteinsdóttir · 1×
Citations per year

Countries citing papers authored by Atsushi Ogiwara

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Ogiwara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Ogiwara

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Ogiwara. A scholar is included among the top collaborators of Atsushi Ogiwara 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 Atsushi Ogiwara. Atsushi Ogiwara 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
#WorkIndexed citations
1
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformaticsbreakdown →
412
2 29
3 66
4 9
5 44
6 3
7 38
8 4
9 8
10
DBGET/LinkDB: an integrated database retrieval system.
77
11 0
12 0
13 18
14 27
15 70
16 2
17 5
18 18
19 28
20 10

About Atsushi Ogiwara

Atsushi Ogiwara is a scholar working on Spectroscopy, Molecular Biology and Fluid Flow and Transfer Processes, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Spectroscopy (187 citations), Molecular Biology (715 citations) and Cell Biology (87 citations). Atsushi Ogiwara has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Hiroshi Tsugawa, Masanori Arita, Mitsuhiro Kanazawa, John K. Meissen, Tobias Kind, Kohei Takeuchi, Sajjan S. Mehta, Oliver Fiehn, Zijuan Lai and Peter A. Beal. Their work appears in journals such as Bioinformatics, Analytical Chemistry and Nature Methods.

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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