Tetsu Akiyama

24.4k citations
264 papers · 20.0k indexed · 3 hit papers · h-index 67
Topics
Wnt/β-catenin signaling in development and cancer (64 papers)Cancer-related gene regulation (39 papers)Glycosylation and Glycoproteins Research (30 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Tetsu Akiyama

262 papers receiving 19.6k citations

Hit Papers

Genistein, a specific inhibitor of tyrosine-specific prot...198620261999201219871986198610002.0k3.0k

Peers

Tetsu Akiyama
Comparison fields: 5 of 148
  • Molecular Biology 13.0k
  • Oncology 4.7k
  • Cell Biology 3.0k
  • Pathology and Forensic Medicine 2.6k
  • Genetics 2.3k
Replace Rony Seger with:
Rony Seger Israel
Tetsuo Noda Japan
Stanisław Krajewski United States
Johji Inazawa Japan
Yoshihide Tsujimoto Japan
Akira Kikuchi Japan
Ulf R. Rapp Germany
Masahiko Hibi Japan
Keiko Nakayama Japan
Masabumi Shibuya Japan
Tetsu Akiyama relative to Rony Seger Israel Rony Seger's profile →
Citations per field
00.5×2.6×
Rony Seger · 1×
Citations per year

Countries citing papers authored by Tetsu Akiyama

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Akiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsu Akiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsu Akiyama. A scholar is included among the top collaborators of Tetsu Akiyama 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 Tetsu Akiyama. Tetsu Akiyama 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 2
2 4
3 0
4 18
5 5
6 2
7 6
8 101
9 27
10 46
11 42
12 38
13 16
14 13
15 375
16 110
17
Scintigraphic detection of overexpressed c-erbB-2 protooncogene products by a class-switched murine anti-c-erbB-2 protein monoclonal antibody.
27
18 31
19 82
20
A SPECIFIC INHIBITOR FOR TYROSINE PROTEIN KINASE
1

About Tetsu Akiyama

Tetsu Akiyama is a scholar working on Molecular Biology, Cell Biology and Oncology, having authored 264 papers that have together received 20.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (64 papers), Cancer-related gene regulation (39 papers) and Glycosylation and Glycoproteins Research (30 papers). The work is most often cited by research in Molecular Biology (13.0k citations), Cell Biology (3.0k citations) and Oncology (4.7k citations). Tetsu Akiyama has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Hiroshi Ogawara, Kumao Toyoshima, Shun‐ichi Watanabe, Yuko Fukami, Shizue Nakagawa, Masabumi Shibuya, Junko Ishida, Yoshihiro Kawasaki, Tadashi Yamamoto and Tadashi Yamamoto. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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