Shuntaro Ikawa

5.5k citations
70 papers · 4.8k indexed · 2 hit papers · h-index 30
Topics
Cancer-related Molecular Pathways (23 papers)Cancer Research and Treatments (14 papers)RNA modifications and cancer (12 papers)

In The Last Decade

Shuntaro Ikawa

69 papers receiving 4.6k citations

Hit Papers

Similarity of protein encoded by the human c-erb-B-2 gene...1986202619992012198620002505007501000

Peers

Shuntaro Ikawa
Comparison fields: 5 of 115
  • Molecular Biology 2.8k
  • Oncology 2.4k
  • Cancer Research 726
  • Biotechnology 617
  • Radiology, Nuclear Medicine and Imaging 547
Replace David Wynford‐Thomas with:
David Wynford‐Thomas United Kingdom
William K. Kaufmann United States
Sam W. Lee United States
Juana M. Flores Spain
Nelly Auersperg Canada
Alexander Zaika United States
Osamu Tanabe Japan
Kay‐Uwe Wagner United States
C.S. Potten United Kingdom
Srikumar Chellappan United States
Shuntaro Ikawa relative to David Wynford‐Thomas United Kingdom David Wynford‐Thomas's profile →
Citations per field
00.5×3.0×
David Wynford‐Thomas · 1×
Citations per year

Countries citing papers authored by Shuntaro Ikawa

Since Specialization
Citations

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

Fields of papers citing papers by Shuntaro Ikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuntaro Ikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Shuntaro Ikawa. A scholar is included among the top collaborators of Shuntaro Ikawa 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 Shuntaro Ikawa. Shuntaro Ikawa 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 15
2 55
3 12
4 19
5 15
6 16
7 77
8 32
9 19
10 18
11 33
12 19
13 73
14 32
15 47
16 65
17 3
18 2
19 91
20 10

About Shuntaro Ikawa

Shuntaro Ikawa is a scholar working on Biotechnology, Oncology and Cancer Research, having authored 70 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (23 papers), Cancer Research and Treatments (14 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Oncology (2.4k citations), Biotechnology (617 citations) and Cancer Research (726 citations). Shuntaro Ikawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tadashi Yamamoto, Kentaro Semba, Kumao Toyoshima, Tetsu Akiyama, Nobuo Nomura, Toshiyuki Saito, Nobuyuki Miyajima, Yoji Ikawa, Masuo Obinata and Akira Nakagawara. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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