Koichi Nakajima

11.1k citations
95 papers · 9.4k indexed · 4 hit papers · h-index 46
Topics
Cytokine Signaling Pathways and Interactions (46 papers)NF-κB Signaling Pathways (13 papers)interferon and immune responses (9 papers)

In The Last Decade

Koichi Nakajima

92 papers receiving 9.2k citations

Hit Papers

Complementary DNA for a novel human interleukin (BSF-2) t...1985202619982012198619881985199650010001.5k

Peers

Koichi Nakajima
Comparison fields: 5 of 122
  • Oncology 4.0k
  • Immunology 3.8k
  • Molecular Biology 3.6k
  • Cancer Research 1.2k
  • Hematology 907
Replace Kiyoshi Yasukawa with:
Kiyoshi Yasukawa Japan
Diane Pennica United States
Iris Behrmann Germany
Alejandro V. Villarino United States
Stephanie S. Watowich United States
Christian Schindler United States
Tracy A. Willson Australia
Seiji Okada Japan
Fred Schaper Germany
Philippe Bouillet Australia
Koichi Nakajima relative to Kiyoshi Yasukawa Japan Kiyoshi Yasukawa's profile →
Citations per field
00.5×1.5×
Kiyoshi Yasukawa · 1×
Citations per year

Countries citing papers authored by Koichi Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Nakajima. A scholar is included among the top collaborators of Koichi Nakajima 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 Koichi Nakajima. Koichi Nakajima 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 7
3 12
4 0
5 59
6
The ARNT-STAT3 axis regulates the differentiation of intestinal intraepithelial TCR alpha beta(+) CD8 alpha alpha(+) cells
0
7 86
8 78
9 26
10 30
11 9
12 58
13 36
14 3
15 7
16 177
17 161
18 35
19 100
20 23

About Koichi Nakajima

Koichi Nakajima is a scholar working on Oncology, Immunology and Cancer Research, having authored 95 papers that have together received 9.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (46 papers), NF-κB Signaling Pathways (13 papers) and interferon and immune responses (9 papers). The work is most often cited by research in Immunology (3.8k citations), Oncology (4.0k citations) and Hematology (907 citations). Koichi Nakajima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshio Hirano, Masahiko Hibi, Tadashi Matsuda, Tadamitsu Kishimoto, Tetsuya Taga, Kiyoshi Yasukawa, T Hirano, Shin‐ichiro Kashiwamura, Toshiyuki Fukada and Yojiro Yamanaka. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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