Kaori Abe

1.1k citations
74 papers · 775 · h-index 19

Impact in

  • Rheumatology top 10%
    • Bone and Dental Protein Studies
    • Systemic Lupus Erythematosus Research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Kaori Abe

66 papers receiving 746 citations

Peers

Kaori Abe
Comparison fields: 5 of 112
  • Rheumatology 128
  • Immunology 147
  • Periodontics 31
  • Urology 27
  • Oncology 111
Replace Shinichi Sasaki with:
Shinichi Sasaki Japan
Yashwant Kumar India
Nora Laver United States
Philipp Baumeister Germany
Kazuki Okamura Japan
Roberto Alfano Italy
J Koudstaal Netherlands
Wei‐Fan Chiang Taiwan
Qian Zhou China
Kaori Abe relative to Shinichi Sasaki Japan Shinichi Sasaki's profile →
Citations per field
00.5×1.5×1.9×
Shinichi Sasaki · 1×
Citations per year

Countries citing papers authored by Kaori Abe

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199872
2 201350
3 201736
4 202134
5 200633
6 200929
7 200728
8 200428
9 201726
10 202325
11 200825
12 201222
13 199921
14 201321
15 201621
16 200821
17 201620
18 201119
19 201618
20 201916

About Kaori Abe

Kaori Abe is a scholar working on Molecular Biology, Oncology, Rheumatology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 74 papers that have together received 775 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Advanced Biosensing Techniques and Applications (6 papers), Microfluidic and Bio-sensing Technologies (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), T-cell and B-cell Immunology (4 papers) and Bone and Dental Protein Studies (4 papers). The work is most often cited by research in Rheumatology (128 citations), Immunology (147 citations), Periodontics (31 citations), Urology (27 citations) and Oncology (111 citations). Kaori Abe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masatoshi Kataoka, Hiroshi Hashimoto, Yoshinari Takasaki, Takafumi Noma, Yasuo Shinohara, Taigo Horiguchi, Keiko Miyoshi, Toru Fukazawa, Shouki Yatsushiro and Chifuyu Ushiyama. Their work appears in journals such as PLoS ONE, Scientific Reports, The Journal of Medical Investigation, Cancers and Modern Rheumatology.

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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