Mitsuhiro Tada

8.2k total citations
198 papers, 6.6k citations indexed

About

Mitsuhiro Tada is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Mitsuhiro Tada has authored 198 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 60 papers in Oncology and 35 papers in Surgery. Recurrent topics in Mitsuhiro Tada's work include Cancer-related Molecular Pathways (39 papers), Glioma Diagnosis and Treatment (14 papers) and Cancer Research and Treatments (11 papers). Mitsuhiro Tada is often cited by papers focused on Cancer-related Molecular Pathways (39 papers), Glioma Diagnosis and Treatment (14 papers) and Cancer Research and Treatments (11 papers). Mitsuhiro Tada collaborates with scholars based in Japan, Switzerland and United States. Mitsuhiro Tada's co-authors include Yutaka Sawamura, Hiroshi Abe, Tetsuya Moriuchi, Erwin G. Van Meir, Annie‐Claire Diserens, Nobuaki Ishii, Nicolas de Tribolet, Jun Ikeda, Adrian Merlo and Daniel Maier and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Mitsuhiro Tada

194 papers receiving 6.4k citations

Peers

Mitsuhiro Tada
Comparison fields: 5 of 174
  • Molecular Biology 3.1k
  • Oncology 1.9k
  • Cancer Research 1.2k
  • Genetics 1.1k
  • Surgery 842
Replace Eiji Ikeda with:
Eiji Ikeda Japan
Mika Watanabe Japan
Helen M. Arthur United Kingdom
William B. Stallcup United States
Süleyman Ergün Germany
Jiří Bártek Denmark
Lei Xu United States
Andréas Bikfalvi France
Francesco DiMeco Italy
Petri Lehenkari Finland
Eiji Ikeda Japan View profile →
Citations per field, relative to Mitsuhiro Tada
Mitsuhiro Tada · 1×
Citations per year, relative to Mitsuhiro Tada
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Countries citing papers authored by Mitsuhiro Tada

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Tada. A scholar is included among the top collaborators of Mitsuhiro Tada 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 Mitsuhiro Tada. Mitsuhiro Tada 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
# Work Indexed citations
1 6
2
Language As a Zombie Category of Sociological Theory
1
3 7
4 1
5 1
6 28
7 75
8 77
9 98
10 1
11 41
12 13
13 4
14
Deletion of the COOH-terminal region of p73alpha enhances both its transactivation function and DNA-binding activity but inhibits induction of apoptosis in mammalian cells.
69
15 19
16 162
17 48
18 11
19
E Expression of Borna disease virus messages in clinical samples from patients with brain malignant tumors.
1
20 0

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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