Yasuji Ueda

1.7k citations
73 papers · 1.4k indexed · h-index 21

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Pluripotent Stem Cells Research

Papers in

Yasuji Ueda

73 papers receiving 1.4k citations

Peers

Yasuji Ueda
Comparison fields: 5 of 92
  • Genetics 537
  • Molecular Biology 788
  • Oncology 304
  • Immunology 230
  • Genetics 112
Replace Stephanie Laufs with:
Stephanie Laufs Germany
Lung-Ji Chang United States
Dinko Valerio Netherlands
Nanette Mittereder United States
Kathryn L. Parsley United Kingdom
Hyo Jeong Hong South Korea
Olga Kustikova Germany
Gaby Brouns Netherlands
Ali Nowrouzi Germany
Johannes C.M. van der Loo United States
Yasuji Ueda relative to Stephanie Laufs Germany Stephanie Laufs's profile →
Citations per field
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Stephanie Laufs · 1×
Citations per year

Countries citing papers authored by Yasuji Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yasuji Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201910
2 201716
3 201513
4 201097
5 201013
6 200931
7 20093
8 200939
9 200820
10 200724
11 200477
12 20042
13 200410
14 200410
15 200418
16 200314
17 20039
18 20035
19 200234
20 200214

About Yasuji Ueda

Yasuji Ueda is a scholar working on Genetics, Hematology, Immunology, Molecular Biology and Oncology, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), RNA Interference and Gene Delivery (15 papers), CRISPR and Genetic Engineering (13 papers), Immunotherapy and Immune Responses (10 papers), CAR-T cell therapy research (10 papers), Angiogenesis and VEGF in Cancer (7 papers), Pluripotent Stem Cells Research (7 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Genetics (537 citations), Molecular Biology (788 citations), Oncology (304 citations), Immunology (230 citations) and Genetics (112 citations). Yasuji Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mamoru Hasegawa, Akihiro Iida, Yoshikazu Yonemitsu, Yutaka Hanazono, Keiya Ozawa, Akihiro Kume, Makoto Inoue, Naohide Ageyama, Hidekazu Kuma and Atsushi Kato. Their work appears in journals such as Gene Therapy, The Journal of Gene Medicine, Molecular Therapy, Biochemical and Biophysical Research Communications and Human Gene Therapy.

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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