Masatoshi Tagawa

5.5k citations
210 papers · 4.6k indexed · h-index 35
Topics
Virus-based gene therapy research (69 papers)Immunotherapy and Immune Responses (44 papers)Cancer Research and Treatments (43 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Masatoshi Tagawa

209 papers receiving 4.5k citations

Peers

Masatoshi Tagawa
Comparison fields: 5 of 113
  • Molecular Biology 2.3k
  • Oncology 1.7k
  • Immunology 1.5k
  • Genetics 1.0k
  • Cancer Research 564
Replace Guillermo Mazzolini with:
Guillermo Mazzolini Argentina
Lorena Landuzzi Italy
Shigeo Takaishi Japan
Neil I. Goldstein United States
Claudia Chiodoni Italy
Richard B. Bankert United States
Yasuharu Nishimura Japan
Monica Rodolfo Italy
Maria I. Colnaghi Italy
Angelica Loskog Sweden
Masatoshi Tagawa relative to Guillermo Mazzolini Argentina Guillermo Mazzolini's profile →
Citations per field
00.5×1.5×
Guillermo Mazzolini · 1×
Citations per year

Countries citing papers authored by Masatoshi Tagawa

Since Specialization
Citations

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

Fields of papers citing papers by Masatoshi Tagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Tagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Masatoshi Tagawa. A scholar is included among the top collaborators of Masatoshi Tagawa 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 Masatoshi Tagawa. Masatoshi Tagawa 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 17
2 4
3 15
4 30
5 8
6 14
7 32
8 16
9 7
10 4
11 94
12
Up-regulation of the error-prone DNA polymerase {kappa} promotes pleiotropic genetic alterations and tumorigenesis.
81
13 63
14 11
15 21
16 32
17
DNA polymerase kappa, implicated in spontaneous and DNA damage-induced mutagenesis, is overexpressed in lung cancer.
106
18 6
19 17
20 36

About Masatoshi Tagawa

Masatoshi Tagawa is a scholar working on Biotechnology, Immunology and Oncology, having authored 210 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (69 papers), Immunotherapy and Immune Responses (44 papers) and Cancer Research and Treatments (43 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.7k citations) and Biotechnology (431 citations). Masatoshi Tagawa has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kiyoko Kawamura, Shigeru Sakiyama, Hideaki Shimada, Jiyang O‐Wang, Hiromitsu Saisho, Osamu Shimozato, Kenzo Hiroshima, Yuji Tada, Ling Yu and Masako Chiyo. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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