Takehiko Koji

8.6k total citations
231 papers, 7.2k citations indexed

About

Takehiko Koji is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Takehiko Koji has authored 231 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 41 papers in Immunology and 28 papers in Nephrology. Recurrent topics in Takehiko Koji's work include Cell death mechanisms and regulation (24 papers), Fibroblast Growth Factor Research (16 papers) and RNA Interference and Gene Delivery (15 papers). Takehiko Koji is often cited by papers focused on Cell death mechanisms and regulation (24 papers), Fibroblast Growth Factor Research (16 papers) and RNA Interference and Gene Delivery (15 papers). Takehiko Koji collaborates with scholars based in Japan, United States and China. Takehiko Koji's co-authors include Paul K. Nakane, Yoshitaka Hishikawa, Masanobu Miyazaki, Nobuyuki Kobayashi, Shigeru Kohno, Takashi Harada, Katsushige Abe, Tomoya Nishino, Tetsuya Moriuchi and Akira Furusu and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Takehiko Koji

231 papers receiving 7.1k citations

Peers

Takehiko Koji
Comparison fields: 5 of 146
  • Molecular Biology 3.2k
  • Immunology 1.2k
  • Surgery 1.0k
  • Oncology 951
  • Genetics 893
Replace Mario Serio with:
Mario Serio Italy
Paul J. Higgins United States
Shun’ichiro Taniguchi Japan
Werner Müller‐Esterl Germany
Hugh R. Brady Ireland
David H. Lovett United States
Sohei Kitazawa Japan
Nariyoshi Shinomiya Japan
Long Jin China
Dwight A. Towler United States
Mario Serio Italy View profile →
Citations per field, relative to Takehiko Koji
Takehiko Koji · 1×
Citations per year, relative to Takehiko Koji
Takehiko Koji · 1×

Countries citing papers authored by Takehiko Koji

Since Specialization
Citations

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

Fields of papers citing papers by Takehiko Koji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiko Koji

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiko Koji. A scholar is included among the top collaborators of Takehiko Koji 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 Takehiko Koji. Takehiko Koji 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 3
2 6
3 8
4 19
5 12
6
Epidermal growth factor inhibits Fas-mediated apoptosis in salivary epithelial cells of patients with primary Sjögren's syndrome.
13
7 32
8 60
9 44
10 83
11 7
12 25
13 22
14 128
15 32
16 85
17 15
18 34
19 8
20
Mode of PCNA/cyclin and c-myc Antigens in Regenerating Rat Livers.
2

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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