Hidehiro Fukuyama

6.0k citations
46 papers · 4.9k indexed · h-index 29
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (12 papers)Cell death mechanisms and regulation (9 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Hidehiro Fukuyama

46 papers receiving 4.8k citations

Peers

Hidehiro Fukuyama
Comparison fields: 5 of 127
  • Immunology 2.5k
  • Molecular Biology 2.3k
  • Oncology 613
  • Physiology 459
  • Epidemiology 456
Replace Tariq Ghayur with:
Tariq Ghayur United States
Satoshi Matsuda Japan
Dhavalkumar D. Patel United States
Ann Ranger United States
Federica M. Marelli‐Berg United Kingdom
T Sudo Japan
Takahide Mori Japan
Kris A. Reedquist Netherlands
Winnie W. Wong United States
Hui‐Chen Hsu United States
Hidehiro Fukuyama relative to Tariq Ghayur United States Tariq Ghayur's profile →
Citations per field
00.5×1.5×
Tariq Ghayur · 1×
Citations per year

Countries citing papers authored by Hidehiro Fukuyama

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiro Fukuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidehiro Fukuyama

This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiro Fukuyama. A scholar is included among the top collaborators of Hidehiro Fukuyama 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 Hidehiro Fukuyama. Hidehiro Fukuyama 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 2
2 1
3 22
4 61
5 50
6 18
7 67
8 3
9 281
10 131
11 12
12 29
13 28
14 161
15 107
16 189
17 301
18 372
19 15
20 29

About Hidehiro Fukuyama

Hidehiro Fukuyama is a scholar working on Immunology, Cancer Research and Microbiology, having authored 46 papers that have together received 4.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Cell death mechanisms and regulation (9 papers). The work is most often cited by research in Immunology (2.5k citations), Molecular Biology (2.3k citations) and Cancer Research (341 citations). Hidehiro Fukuyama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigekazu Nagata, Kohki Kawane, Jeffrey V. Ravetch, Masashi Adachi, Hiroko Nagase, Rie Watanabe‐Fukunaga, Yasuo Uchiyama, Yoshiyuki Ohsawa, Takeshi Ueda and Rikiro Fukunaga. Their work appears in journals such as Nature, Science 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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