Taiji Kato

2.7k citations
111 papers · 2.3k indexed · h-index 28
Topics
Neuroscience and Neuropharmacology Research (11 papers)Glycosylation and Glycoproteins Research (10 papers)Neuroblastoma Research and Treatments (9 papers)

In The Last Decade

Taiji Kato

111 papers receiving 2.2k citations

Peers

Taiji Kato
Comparison fields: 5 of 113
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 414
  • Oncology 398
  • Cancer Research 240
  • Pulmonary and Respiratory Medicine 201
Replace Gail M. Seigel with:
Gail M. Seigel United States
Anton Roebroek Belgium
A Kahn France
Karen L. Philpott United Kingdom
Hiroshi Ohnishi Japan
Masayuki Komada Japan
Claus Munck Petersen Denmark
Louis A. Peña United States
James R. Tonra United States
Y. Hata Japan
Taiji Kato relative to Gail M. Seigel United States Gail M. Seigel's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Taiji Kato

Since Specialization
Citations

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

Fields of papers citing papers by Taiji Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiji Kato

This figure shows the co-authorship network connecting the top 25 collaborators of Taiji Kato. A scholar is included among the top collaborators of Taiji Kato 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 Taiji Kato. Taiji Kato 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
G-CSF producing parotid tumor : a case report
1
2 25
3
Functional analysis of ATBF1, a multiple-homeodomain zinc finger protein, using lung cancer cell line A549
1
4 7
5 60
6 22
7 20
8 57
9 4
10 6
11 48
12 2
13 12
14 34
15 7
16 5
17 2
18 6
19 55
20 5

About Taiji Kato

Taiji Kato is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Glycosylation and Glycoproteins Research (10 papers) and Neuroblastoma Research and Treatments (9 papers). The work is most often cited by research in Developmental Neuroscience (138 citations), Cellular and Molecular Neuroscience (414 citations) and Molecular Biology (1.3k citations). Taiji Kato has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Kiyofumi Asai, Ryo Tanaka, Toyohiro Tada, Akihiko Moriyama, Jin‐ichi Ito, Ryo Tanaka, Ramón Lim, Yutaka Miura, David E. Turriff and Kazuo Yamada. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Oncogene.

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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