Shuji Terao

433 citations
23 papers · 355 indexed · h-index 12
Topics
Virus-based gene therapy research (10 papers)CAR-T cell therapy research (7 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)

In The Last Decade

Shuji Terao

22 papers receiving 351 citations

Peers

Shuji Terao
Comparison fields: 5 of 70
  • Molecular Biology 183
  • Oncology 116
  • Genetics 78
  • Immunology 65
  • Pulmonary and Respiratory Medicine 61
Replace G. Sica with:
G. Sica Italy
Kazuto Nishio Japan
Júlia Starková Czechia
Manon Verwijs-Janssen Netherlands
Heidrun Faltin Germany
Timothy M. Smith United States
Langzhu Tan United States
Yousuke Ueoka Japan
Lukas Klameth Austria
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Shuji Terao relative to G. Sica Italy G. Sica's profile →
Citations per field
00.5×1.6×
G. Sica · 1×
Citations per year

Countries citing papers authored by Shuji Terao

Since Specialization
Citations

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

Fields of papers citing papers by Shuji Terao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuji Terao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Terao. A scholar is included among the top collaborators of Shuji Terao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuji Terao. Shuji Terao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 46
3 28
4 0
5 5
6 2
7 34
8
A pilot study of quality of life of patients with hormone-refractory prostate cancer after gene therapy.
7
9
Improved gene transfer into renal carcinoma cells using adenovirus vector containing RGD motif.
10
10 31
11 15
12 18
13 28
14 6
15 12
16 15
17 8
18
Recombinant interleukin-2 enhanced the antitumor effect of ADV/RSV-HSV-tk/ACV therapy in a murine bladder cancer model.
14
19
[Cerebral infarction associated with nephrotic syndrome in a young adult: a case report].
1
20 42

About Shuji Terao

Shuji Terao is a scholar working on Genetics, Biotechnology and Oncology, having authored 23 papers that have together received 355 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), CAR-T cell therapy research (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Oncology (116 citations), Cancer Research (54 citations) and Immunology (65 citations). Shuji Terao has collaborated with scholars based in Japan, United States and Cambodia. Frequent co-authors include Akinobu Gotoh, Toshiro Shirakawa, Masahiro Higuchi, Michio Naoe, Zen‐ichi Terashita, Yumiko Shibouta, Shigenori Ohkawa, Ken Nishikawa, Bishnu Acharya and Sadao Kamidono. Their work appears in journals such as Journal of Medicinal Chemistry, Pharmaceutical Research and Cell Death and Disease.

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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