Mamoru Hyodo

87 papers receiving 7.7k citations

Hit Papers

STING agonist loaded lipid nanoparticles overcome anti-PD-1 resistance in melanoma lung metastasis via NK cell activation 2021 · 199 citations
19920012026200920174008001.2k

Peers

Mamoru Hyodo
Comparison fields: 5 of 130
  • Immunology 3.3k
  • Endocrinology 652
  • Molecular Medicine 437
  • Infectious Diseases 1.5k
  • Microbiology 456
Replace Anthony P. Moran with:
Anthony P. Moran Ireland
Bradley E. Britigan United States
Richard L. Ferrero Australia
Timothy L. Cover United States
Dipshikha Chakravortty India
Ian S. Roberts United Kingdom
Jun Kunisawa Japan
Koichi Fukase Japan
Michael Morr Germany
Shoichi Kusumoto Japan
Mamoru Hyodo relative to Anthony P. Moran Ireland Anthony P. Moran's profile →
Citations per field
00.5×3.4×
Anthony P. Moran · 1×
Citations per year

Countries citing papers authored by Mamoru Hyodo

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Hyodo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2016100
2 201574
3 201560
4 201420
5 201421
6 20144
7 201458
8 2014139
9 201347
10 201314
11 2012265
12
STING is a direct innate immune sensor of cyclic di-GMP
Hit paper breakdown →
20111227
13 201079
14 200961
15 200925
16 200865
17 200711
18 200693
19 20059
20 200586

About Mamoru Hyodo

Mamoru Hyodo is a scholar working on Endocrinology, Microbiology, Immunology, Molecular Biology and Infectious Diseases, having authored 88 papers that have together received 7.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (18 papers), Advanced biosensing and bioanalysis techniques (16 papers), DNA and Nucleic Acid Chemistry (11 papers), Bacterial biofilms and quorum sensing (11 papers), Immune Response and Inflammation (9 papers), interferon and immune responses (8 papers), Nanoparticle-Based Drug Delivery (7 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Immunology (3.3k citations), Endocrinology (652 citations), Molecular Medicine (437 citations), Infectious Diseases (1.5k citations) and Microbiology (456 citations). Mamoru Hyodo has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yoshihiro Hayakawa, Hideyoshi Harashima, Kathryn M. Monroe, Russell E. Vance, Dara Burdette, Yusuke Sato, Stephen Lory, Katia Troha, Barbara Eckert and Vincent T. Lee. Their work appears in journals such as Journal of Controlled Release, Biological and Pharmaceutical Bulletin, Tetrahedron, Molecular Therapy and Journal of Bacteriology.

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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