Masamichi Hosono

696 citations
43 papers · 570 indexed · h-index 13
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms 3
  • Immunology top 10%
    • T-cell and B-cell Immunology 24
    • Immune Cell Function and Interaction 19
    • Immunotherapy and Immune Responses 14
    • Immune Response and Inflammation 9
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Stress Responses and Cortisol 2
    • Diabetes and associated disorders 5

Masamichi Hosono

43 papers receiving 543 citations

Peers

Masamichi Hosono
Comparison fields: 5 of 81
  • Aging 38
  • Immunology 285
  • Neurology 94
  • Biological Psychiatry 23
  • Behavioral Neuroscience 15
Replace Spencer Luíz Marques Payão with:
Spencer Luíz Marques Payão Brazil
Kanako Moritoh Japan
Francesca Cignarella United States
Colin Delaney United States
E. Richard Stanley United States
Lucas Trevizani Rasmussen Brazil
Khalil Miloudi Canada
Éva Hadadi Hungary
Ana J. Chucair‐Elliott United States
Takeshi Kondo Japan
Masamichi Hosono relative to Spencer Luíz Marques Payão Brazil Spencer Luíz Marques Payão's profile →
Citations per field
00.5×1.5×2.0×
Spencer Luíz Marques Payão · 1×
Citations per year

Countries citing papers authored by Masamichi Hosono

Since Specialization
Citations

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

Fields of papers citing papers by Masamichi Hosono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20151
2 20142
3 20134
4 20124
5 20114
6 200744
7 20075
8 20065
9 20028
10 20019
11 20005
12 199717
13 199719
14 199454
15 1994101
16 199320
17 19919
18 199033
19 199012
20 198618

About Masamichi Hosono

Masamichi Hosono is a scholar working on Aging, Immunology and Behavioral Neuroscience, having authored 43 papers that have together received 570 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (24 papers), Immune Cell Function and Interaction (19 papers), Immunotherapy and Immune Responses (14 papers), Immune Response and Inflammation (9 papers), Diabetes and associated disorders (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Aging (38 citations), Immunology (285 citations) and Neurology (94 citations). Masamichi Hosono has collaborated with scholars based in Japan, South Korea and Canada. Frequent co-authors include Shin‐ichi Muramatsu, Masanori Hosokawa, Keiichi Higuchi, Yoshimoto Katsura, Ichiro Akiguchi, Toshio Takeda, Hideki Katoh, Michio Fujiwara, Masahiko Sakai and Tohru Masuda. Their work appears in journals such as The Journal of Immunology, Gastroenterology and Brain Research.

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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