Hodaka Fujii

3.5k citations
95 papers · 2.7k indexed · 1 hit paper · h-index 23
  • Immunology top 2%
    • Immune Cell Function and Interaction 20
    • T-cell and B-cell Immunology 14
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions 15
  • Aging top 10%
    • CRISPR and Genetic Engineering 29
    • RNA and protein synthesis mechanisms 23
    • Genomics and Chromatin Dynamics 10
    • Advanced biosensing and bioanalysis techniques 8
    • Chromosomal and Genetic Variations 13

Hodaka Fujii

90 papers receiving 2.6k citations

Hit Papers

Functional Activation of Jak1 and Jak3 by Selective Assoc...5021994202620042015100200300400500

Peers

Hodaka Fujii
Comparison fields: 5 of 97
  • Immunology 1.3k
  • Oncology 810
  • Aging 34
  • Cancer Research 269
  • Pharmacology 155
Replace Kevin M. McBride with:
Kevin M. McBride United States
Oscar R. Colamonici United States
Uwe Vinkemeier Germany
Xin‐Yuan Fu United States
Marc Fellous France
George R. Stark United States
Hüseyin Sirma Germany
Kiyoshi Ohtani Japan
Prem S. Subramaniam United States
C Klas Germany
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Citations per field
00.5×6.0×
Kevin M. McBride · 1×
Citations per year

Countries citing papers authored by Hodaka Fujii

Since Specialization
Citations

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

Fields of papers citing papers by Hodaka Fujii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20222
4 202110
5 20212
6 202016
7 20193
8 20186
9 20186
10 201811
11 20188
12 201812
13 201719
14 201627
15 201520
16 201212
17 20071
18 2007164
19 20073
20 20079

About Hodaka Fujii

Hodaka Fujii is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (29 papers), RNA and protein synthesis mechanisms (23 papers), Immune Cell Function and Interaction (20 papers), Cytokine Signaling Pathways and Interactions (15 papers), T-cell and B-cell Immunology (14 papers), Chromosomal and Genetic Variations (13 papers), Genomics and Chromatin Dynamics (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (810 citations) and Aging (34 citations). Hodaka Fujii has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Toshitsugu Fujita, Derya Unutmaz, Tadatsugu Taniguchi, Akemi Hoshino, Atsuo Kawahara, Yasuhiro Minami, Lina Kozhaya, James N. Ihle, Rui Wang and Tadaaki Miyazaki. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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