Taro Semba

1.3k citations
28 papers · 594 · h-index 10

Impact in

    • Cell Adhesion Molecules Research
  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Angiogenesis and VEGF in Cancer 5
    • Cancer Treatment and Pharmacology 7
    • Colorectal Cancer Treatments and Studies 4
    • HER2/EGFR in Cancer Research 4
    • Cancer Cells and Metastasis 3

Taro Semba

28 papers receiving 573 citations

Peers

Taro Semba
Comparison fields: 5 of 77
  • Immunology and Allergy 76
  • Oncology 271
  • Cancer Research 113
  • Molecular Biology 279
  • Cell Biology 63
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Taro Semba relative to Ben Allal France Ben Allal's profile →
Citations per field
00.5×2.6×
Ben Allal · 1×
Citations per year

Countries citing papers authored by Taro Semba

Since Specialization
Citations

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

Fields of papers citing papers by Taro Semba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014212
2
Sulfonamide derivative, E7820, is a unique angiogenesis inhibitor suppressing an expression of integrin alpha2 subunit on endothelium.
200294
3 200462
4
Establishment of a quantitative mouse dorsal air sac model and its application to evaluate a new angiogenesis inhibitor.
199937
5 197434
6 201432
7 199031
8 201119
9 201419
10 19929
11 20238
12 20225
13 19934
14 20194
15 20243
16 20233
17 20233
18 20242
19 20202
20 20222

About Taro Semba

Taro Semba is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Immunology and Allergy, having authored 28 papers that have together received 594 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cell Adhesion Molecules Research (4 papers), HER2/EGFR in Cancer Research (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Immunology and Allergy (76 citations), Oncology (271 citations), Cancer Research (113 citations), Molecular Biology (279 citations) and Cell Biology (63 citations). Taro Semba has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Yasuhiro Funahashi, Toshiaki WAKABAYASHI, Yoichi Ozawa, Kentaro Yoshimatsu, Junji Matsui, Yusuke Adachi, Satoshi Kawano, Yuji Yamamoto, Naoko Hata Sugi and Takayuki Kimura. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Cancer Science, Molecular Cancer Therapeutics and Annals of Oncology.

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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