Mitsuru Hashida

21.0k citations
478 papers · 17.4k · h-index 71

Impact in

Papers in

    • RNA Interference and Gene Delivery 166
    • Advanced biosensing and bioanalysis techniques 54
    • Immunotherapy and Immune Responses 48
    • Immune Response and Inflammation 28

Mitsuru Hashida

474 papers receiving 17.0k citations

Peers

Mitsuru Hashida
Comparison fields: 5 of 166
  • Pharmaceutical Science 2.1k
  • Biomaterials 3.0k
  • Molecular Biology 10.1k
  • Immunology 2.1k
  • Genetics 2.2k
Replace Yoshinobu Takakura with:
Yoshinobu Takakura Japan
Arto Urtti Finland
Fumiyoshi Yamashita Japan
Robert J. Lee United States
Didier Merlin United States
Gert Storm Netherlands
Hideyoshi Harashima Japan
Gregory Gregoriadis United Kingdom
Dong M. Shin United States
Véronique Préat Belgium
Mitsuru Hashida relative to Yoshinobu Takakura Japan Yoshinobu Takakura's profile →
Citations per field
00.5×1.5×2.5×
Yoshinobu Takakura · 1×
Citations per year

Countries citing papers authored by Mitsuru Hashida

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Hashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 478 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995309
2 1998237
3 2000227
4 2012223
5 2000212
6 1990185
7 1996180
8 2009166
9 2012162
10 2004154
11 2003146
12 2012144
13 2001144
14 2001144
15 2006142
16 2007129
17 1995127
18 1998124
19 1991122
20 1998117

About Mitsuru Hashida

Mitsuru Hashida is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Biomedical Engineering, having authored 478 papers that have together received 17.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (166 papers), Advanced biosensing and bioanalysis techniques (54 papers), Virus-based gene therapy research (52 papers), Drug Transport and Resistance Mechanisms (49 papers), Immunotherapy and Immune Responses (48 papers), Nanoparticle-Based Drug Delivery (39 papers), Immune Response and Inflammation (28 papers) and Advancements in Transdermal Drug Delivery (26 papers). The work is most often cited by research in Pharmaceutical Science (2.1k citations), Biomaterials (3.0k citations), Molecular Biology (10.1k citations), Immunology (2.1k citations) and Genetics (2.2k citations). Mitsuru Hashida has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Fumiyoshi Yamashita, Yoshinobu Takakura, Shigeru Kawakami, Makiya Nishikawa, Hitoshi Sezaki, Yuriko Higuchi, Hitoshi Sezaki, Ram I. Mahato, Y Takakura and Takuya Fujita. Their work appears in journals such as Journal of Controlled Release, International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences, Biological and Pharmaceutical Bulletin and Pharmaceutical 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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