Daiki Mori

1.1k citations
36 papers · 851 · h-index 14

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Tuberculosis Research and Epidemiology

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 6
    • Immune Response and Inflammation 4
    • Welding Techniques and Residual Stresses 5
    • Microstructure and Mechanical Properties of Steels 3

Daiki Mori

34 papers receiving 842 citations

Peers

Daiki Mori
Comparison fields: 5 of 102
  • Immunology 445
  • Infectious Diseases 164
  • Endocrinology 38
  • Metals and Alloys 18
  • Epidemiology 195
Replace Enzhuo Yang with:
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Sung-Kwon Kim United States
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Daiki Mori relative to Enzhuo Yang China Enzhuo Yang's profile →
Citations per field
00.5×
Enzhuo Yang · 1×
Citations per year

Countries citing papers authored by Daiki Mori

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013185
2 2013129
3 201689
4 201674
5 201469
6 202043
7 201536
8 201332
9 201826
10 201920
11 201419
12 201919
13 201719
14 202014
15 201811
16 201511
17 20238
18 20228
19 20227
20 20227

About Daiki Mori

Daiki Mori is a scholar working on Immunology, Mechanical Engineering, Organic Chemistry, Molecular Biology and Materials Chemistry, having authored 36 papers that have together received 851 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (6 papers), Welding Techniques and Residual Stresses (5 papers), Glycosylation and Glycoproteins Research (4 papers), Porphyrin and Phthalocyanine Chemistry (4 papers), Immune Response and Inflammation (4 papers), CAR-T cell therapy research (4 papers) and Microstructure and Mechanical Properties of Steels (3 papers). The work is most often cited by research in Immunology (445 citations), Infectious Diseases (164 citations), Endocrinology (38 citations), Metals and Alloys (18 citations) and Epidemiology (195 citations). Daiki Mori has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Sho Yamasaki, Eri Ishikawa, Yasunobu Miyake, Kenji Toyonaga, Hisakata Yamada, Akiko Oyamada, Yoshihiko Hoshino, Shigeru Kakuta, Mikita Suyama and Yoichiro Iwakura. Their work appears in journals such as The Journal of Experimental Medicine, International Immunology, Chemistry - An Asian Journal, Fusion Engineering and Design and Immunity.

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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