Kenji Kawabata

9.4k citations
182 papers · 7.4k indexed · 1 hit paper · h-index 42
Topics
Virus-based gene therapy research (59 papers)Pluripotent Stem Cells Research (30 papers)RNA Interference and Gene Delivery (29 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Kenji Kawabata

172 papers receiving 7.2k citations

Hit Papers

The chemokine receptor CXCR4 is essential for vasculariza...199820262007201619984008001.2k

Peers

Kenji Kawabata
Comparison fields: 5 of 132
  • Molecular Biology 3.6k
  • Oncology 2.1k
  • Immunology 1.7k
  • Genetics 1.6k
  • Surgery 1.1k
Replace John W. Ludlow with:
John W. Ludlow United States
Luc J. W. van der Laan Netherlands
Shigeo Mori Japan
Toshimitsu Uede Japan
Yasuyuki Morishita Japan
Leslie I. Gold United States
Judith A. Abraham United States
Daniel R. Twardzik United States
Martin Götte Germany
Julia Kzhyshkowska Germany
Kenji Kawabata relative to John W. Ludlow United States John W. Ludlow's profile →
Citations per field
00.5×
John W. Ludlow · 1×
Citations per year

Countries citing papers authored by Kenji Kawabata

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Kawabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Kawabata

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Kawabata. A scholar is included among the top collaborators of Kenji Kawabata 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 Kawabata. Kenji Kawabata 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 14
2 7
3 0
4 1
5 2
6 11
7 83
8 34
9 26
10 62
11 5
12 67
13 27
14 22
15 59
16 141
17 225
18 1
19 374
20 0

About Kenji Kawabata

Kenji Kawabata is a scholar working on Genetics, Microbiology and Oncology, having authored 182 papers that have together received 7.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (59 papers), Pluripotent Stem Cells Research (30 papers) and RNA Interference and Gene Delivery (29 papers). The work is most often cited by research in Hepatology (725 citations), Immunology (1.7k citations) and Oncology (2.1k citations). Kenji Kawabata has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Hiroyuki Mizuguchi, Fuminori Sakurai, Takashi Nagasawa, Yoshinobu Takakura, Takao Hayakawa, Kazunobu Tachibana, Katsuhisa Tashiro, Hisashi Iizasa, Mitsuru Hashida and Kazuo Takayama. 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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