Kenji Kawabata

9.4k citations
182 papers · 7.4k indexed · 1 hit paper · h-index 42
  • Hepatology top 1%
  • Immunology top 1%
  • Oncology top 1%
    • CAR-T cell therapy research 10
  • Genetics top 1%
    • Virus-based gene therapy research 59
    • Pluripotent Stem Cells Research 30
    • RNA Interference and Gene Delivery 29
    • CRISPR and Genetic Engineering 23
    • Viral Infectious Diseases and Gene Expression in Insects 15
    • Viral gastroenteritis research and epidemiology 19
    • Pancreatic function and diabetes 13

Kenji Kawabata

172 papers receiving 7.2k citations

Hit Papers

The chemokine receptor CXCR4 is essential for vasculariza...1.3k19982026200720164008001.2k

Peers

Kenji Kawabata
Comparison fields: 5 of 132
  • Hepatology 725
  • Immunology 1.7k
  • Oncology 2.1k
  • Genetics 1.6k
  • Molecular Biology 3.6k
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

The 25 scholars most cited alongside Kenji Kawabata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenji Kawabata Line = papers co-authored together Kenji Kawabata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202014
2 20147
3 20140
4 20141
5 20122
6 201211
7 201283
8 201134
9 201026
10 200862
11 20075
12 200767
13 200727
14 200722
15 200659
16 2003141
17 2000225
18 19971
19 1995374
20 19930

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), RNA Interference and Gene Delivery (29 papers), CRISPR and Genetic Engineering (23 papers), Viral gastroenteritis research and epidemiology (19 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers), Pancreatic function and diabetes (13 papers) and CAR-T cell therapy research (10 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.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026