Daiki Kobayashi

2.0k citations
37 papers · 1.3k indexed · 1 hit paper · h-index 18
Topics
Advanced Proteomics Techniques and Applications (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)Glioma Diagnosis and Treatment (3 papers)

In The Last Decade

Daiki Kobayashi

34 papers receiving 1.3k citations

Hit Papers

jPOSTrepo: an international standard data repository for ...20162026201920222016100200300400

Peers

Daiki Kobayashi
Comparison fields: 5 of 110
  • Molecular Biology 820
  • Cell Biology 184
  • Spectroscopy 160
  • Oncology 123
  • Cancer Research 121
Replace Vittoria Matafora with:
Vittoria Matafora Italy
Annapaola Andolfo Italy
Yee-Guide Yeung United States
Yuzuru Shiio United States
Jin‐Kwan Han South Korea
Luc Furic Australia
Ali Badache France
Jennifer E. Kay United States
Steven J. Weintraub United States
Larisa Litovchick United States
Daiki Kobayashi relative to Vittoria Matafora Italy Vittoria Matafora's profile →
Citations per field
00.5×1.5×2.0×
Vittoria Matafora · 1×
Citations per year

Countries citing papers authored by Daiki Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Daiki Kobayashi. A scholar is included among the top collaborators of Daiki Kobayashi 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 Daiki Kobayashi. Daiki Kobayashi 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 0
2 15
3 0
4 1
5 4
6 3
7 3
8 9
9 34
10 7
11 72
12 91
13 17
14 23
15 58
16 6
17
jPOSTrepo: an international standard data repository for proteomesbreakdown →
479
18 5
19 20
20 15

About Daiki Kobayashi

Daiki Kobayashi is a scholar working on Metals and Alloys, Cell Biology and Molecular Biology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Molecular Biology (820 citations), Cell Biology (184 citations) and Spectroscopy (160 citations). Daiki Kobayashi has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Norie Araki, Shujiro Okuda, Shin Kawano, Akiyasu C. Yoshizawa, Naoyuki Sugiyama, Yu Watanabe, Yuki Moriya, Susumu Goto, Yasushi Ishihama and Masaki Matsumoto. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026