Hirofumi Kai

6.8k citations
226 papers · 5.0k · h-index 36

Impact in

Papers in

Hirofumi Kai

217 papers receiving 4.9k citations

Peers

Hirofumi Kai
Comparison fields: 5 of 130
  • Immunology 1.3k
  • Microbiology 234
  • Cancer Research 487
  • Cell Biology 494
  • Molecular Biology 2.0k
Replace Simon Rousseau with:
Simon Rousseau Canada
Tsuyoshi Shuto Japan
Y. Peter Di United States
Reen Wu United States
Norimasa Sawada Japan
Fabio Bucchieri Italy
Isabelle Van Seuningen France
Ali Andalibi United States
Huabao Xiong China
Shuang Yu China
Hirofumi Kai relative to Simon Rousseau Canada Simon Rousseau's profile →
Citations per field
00.5×2.7×
Simon Rousseau · 1×
Citations per year

Countries citing papers authored by Hirofumi Kai

Since Specialization
Citations

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

Fields of papers citing papers by Hirofumi Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hirofumi Kai, 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 Hirofumi Kai Line = papers co-authored together Hirofumi Kai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001232
2 2005161
3 2007139
4 2002136
5 2002120
6 2008102
7 201599
8 200693
9 200289
10 201085
11 200384
12 200382
13 201082
14 200775
15 200574
16 199674
17 201573
18 199473
19 201264
20
The ETS transcription factor MEF is a candidate tumor suppressor gene on the X chromosome.
200263

About Hirofumi Kai

Hirofumi Kai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Physiology and Cell Biology, having authored 226 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (24 papers), Cystic Fibrosis Research Advances (22 papers), Immune Response and Inflammation (20 papers), Asthma and respiratory diseases (16 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Glycosylation and Glycoproteins Research (15 papers), Respiratory and Cough-Related Research (14 papers) and Heat shock proteins research (12 papers). The work is most often cited by research in Immunology (1.3k citations), Microbiology (234 citations), Cancer Research (487 citations), Cell Biology (494 citations) and Molecular Biology (2.0k citations). Hirofumi Kai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tsuyoshi Shuto, Mary Ann Suico, Jiandong Li, Hirofumi Jono, Tomoaki Koga, Haidong Xu, Takashi Sato, Yoichiro Isohama, Takeshi Miyata and David Lim. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Pharmacological Sciences, Biological and Pharmaceutical Bulletin and Scientific Reports.

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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