Takashi Sugimura

1.1k total citations
11 papers, 949 citations indexed

About

Takashi Sugimura is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Takashi Sugimura has authored 11 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Takashi Sugimura's work include Monoclonal and Polyclonal Antibodies Research (3 papers), RNA modifications and cancer (2 papers) and Fibroblast Growth Factor Research (2 papers). Takashi Sugimura is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), RNA modifications and cancer (2 papers) and Fibroblast Growth Factor Research (2 papers). Takashi Sugimura collaborates with scholars based in Japan, United Kingdom and South Korea. Takashi Sugimura's co-authors include M Terada, Kiyoshi Miyagawa, H Sakamoto, Masanori Taira, Teruhiko Yoshida, Yutaka Hattori, Masaaki Terada, Teruhiko Yoshida, Ken Naito and O Katoh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Environmental Health Perspectives.

In The Last Decade

Takashi Sugimura

11 papers receiving 893 citations

Peers

Takashi Sugimura
Comparison fields: 5 of 74
  • Molecular Biology 740
  • Oncology 262
  • Cancer Research 179
  • Cell Biology 164
  • Genetics 112
Replace Teruhiko Yoshida with:
Teruhiko Yoshida Japan
Martha E. Lopez United States
Asta Varis Finland
Ulrike Reich Germany
Heidi Bissig Switzerland
Sonja Candidus Germany
F. Müller-Pillasch Germany
Jan Åkervall Sweden
Rie Yasuoka Japan
Agustín Herrero Spain
Teruhiko Yoshida Japan View profile →
Citations per field, relative to Takashi Sugimura
Takashi Sugimura · 1×
Citations per year, relative to Takashi Sugimura
Takashi Sugimura · 1×

Countries citing papers authored by Takashi Sugimura

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Sugimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Sugimura

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Sugimura. A scholar is included among the top collaborators of Takashi Sugimura 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 Takashi Sugimura. Takashi Sugimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 47
2 10
3 68
4
Preferential expression of the third immunoglobulin-like domain of K-sam product provides keratinocyte growth factor-dependent growth in carcinoma cell lines.
25
5 74
6 47
7 98
8 219
9 30
10 75
11 256

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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2026