Kenji Tada

2.1k citations
23 papers · 1.7k indexed · 1 hit paper · h-index 15
Topics
Glioma Diagnosis and Treatment (7 papers)Microtubule and mitosis dynamics (3 papers)Epigenetics and DNA Methylation (2 papers)

In The Last Decade

Kenji Tada

22 papers receiving 1.7k citations

Hit Papers

Prognostic value of epidermal growth factor receptor in p...20032026201020182003100200300400500

Peers

Kenji Tada
Comparison fields: 5 of 87
  • Molecular Biology 829
  • Genetics 639
  • Cell Biology 347
  • Cancer Research 319
  • Oncology 284
Replace Nathalie Baeza with:
Nathalie Baeza France
Lori Frederick United States
Bárbara Meléndez Spain
Griffith Harsh United States
Danielle Schüler France
David Tran United States
Monica Hermanson Sweden
Lucie Karayan‐Tapon France
Britta Blaschke Germany
Karisa C. Schreck United States
Kenji Tada relative to Nathalie Baeza France Nathalie Baeza's profile →
Citations per field
00.5×1.5×1.9×
Nathalie Baeza · 1×
Citations per year

Countries citing papers authored by Kenji Tada

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Tada

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Tada. A scholar is included among the top collaborators of Kenji 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 Kenji Tada. Kenji 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
#WorkIndexed citations
1 6
2
Visual Characteristics of Colored LED Lights In Dense Fog
0
3 150
4
[Repetition of Helicobacter cinaedi infections during chemotherapy for malignant lymphoma].
2
5 135
6 29
7 2
8 81
9 66
10 30
11 74
12 39
13 50
14 60
15 168
16 32
17 10
18 156
19 14
20 45

About Kenji Tada

Kenji Tada is a scholar working on Genetics, Cancer Research and Neurology, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Microtubule and mitosis dynamics (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Genetics (639 citations), Cell Biology (347 citations) and Cancer Research (319 citations). Kenji Tada has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Yukitaka Ushio, Masato Kochi, Takeshi Sakuno, Yoshinori Watanabe, Hideyuki Saya, Shoji Shiraishi, Hideo Nakamura, Naoki Shinojima, Takanori Kamiryo and Jun‐ichi Kuratsu. Their work appears in journals such as Nature, The Journal of Cell Biology and Cancer.

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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