Mamoru Hasegawa

11.2k citations
197 papers · 8.5k indexed · 3 hit papers · h-index 42
    • RNA Interference and Gene Delivery 22
    • CRISPR and Genetic Engineering 21
    • Pluripotent Stem Cells Research 15
  • Virology top 2%
    • HIV Research and Treatment 12
  • Genetics top 1%
    • Virus-based gene therapy research 70
  • Genetics top 2%
    • Virus-based gene therapy research 70
  • Immunology top 5%
    • Immunotherapy and Immune Responses 16
    • Viral gastroenteritis research and epidemiology 15
    • Microbial Natural Products and Biosynthesis 14

Mamoru Hasegawa

193 papers receiving 8.3k citations

Hit Papers

Targeted gene correction of α1-antit...4721991202620022014250500750

Peers

Mamoru Hasegawa
Comparison fields: 5 of 139
  • Molecular Biology 5.6k
  • Virology 322
  • Genetics 1.8k
  • Genetics 453
  • Immunology 781
Replace Alex Y. Strongin with:
Alex Y. Strongin United States
Robin J. Parks Canada
Antonia Follenzi Italy
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Marc Piechaczyk France
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Takashi Shimada Japan
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Citations per field
00.5×2.5×
Alex Y. Strongin · 1×
Citations per year

Countries citing papers authored by Mamoru Hasegawa

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Hasegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201415
2 201340
3 201315
4 201338
5 201233
6 2012132
7 201279
8 2011420
9 200934
10 200931
11 20082
12 200815
13 200710
14 200657
15 2002101
16 200234
17 200220
18 199520
19 199417
20 199238

About Mamoru Hasegawa

Mamoru Hasegawa is a scholar working on Genetics, Virology and Molecular Biology, having authored 197 papers that have together received 8.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (70 papers), RNA Interference and Gene Delivery (22 papers), CRISPR and Genetic Engineering (21 papers), Immunotherapy and Immune Responses (16 papers), Viral gastroenteritis research and epidemiology (15 papers), Pluripotent Stem Cells Research (15 papers), Microbial Natural Products and Biosynthesis (14 papers) and HIV Research and Treatment (12 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Virology (322 citations) and Genetics (1.8k citations). Mamoru Hasegawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Noemi Fusaki, Hiroshi Ban, Koichi Saeki, Akiyo Nishiyama, Makoto Inoue, Yoshikazu Yonemitsu, Yoshiyuki Nagai, Akihiro Iida, Katsuo Sueishi and Katsutoshi Sasaki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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