Atsushi Ogiwara

5.2k citations
23 papers · 1.0k indexed · 1 hit paper · h-index 13

Atsushi Ogiwara

21 papers receiving 1.0k citations

Hit Papers

Identifying metabolites by integrating metabolome databas...4122017202620202023100200300400

Peers

Atsushi Ogiwara
Comparison fields: 5 of 127
  • Spectroscopy 187
  • Molecular Biology 715
  • Cell Biology 87
  • Biochemistry 31
  • Food Science 63
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

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

All Works

20 of 20 papers shown
#Work
1
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformaticsbreakdown →
2017412
2 201529
3 201466
4 20139
5 201144
6 20113
7 200838
8 20074
9 20058
10
DBGET/LinkDB: an integrated database retrieval system.
199877
11 19970
12 19960
13 199618
14 199627
15 199670
16 19952
17 19945
18 199318
19 199228
20 198810

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), Genomics and Phylogenetic Studies (5 papers), Analytical Chemistry and Chromatography (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Bacteriophages and microbial interactions (2 papers), Protein Structure and Dynamics (2 papers) and Computational Drug Discovery Methods (2 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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