Jun Aikawa

52 papers receiving 757 citations

Peers

Jun Aikawa
Comparison fields: 5 of 90
  • Rheumatology 285
  • Immunology and Allergy 57
  • Pharmacology 148
  • Orthopedics and Sports Medicine 75
  • Cell Biology 98
Replace Takeshi Teramura with:
Takeshi Teramura Japan
Xianjian Qiu China
Tak Sum Cheng Australia
Yukio Akasaki Japan
Audrey Pigenet France
Jason W. Ashley United States
Jae Wook Chung South Korea
Cleo Bonnet United Kingdom
J.A. Gallagher United Kingdom
Moroe Beppu Japan
Jun Aikawa relative to Takeshi Teramura Japan Takeshi Teramura's profile →
Citations per field
00.5×2.7×
Takeshi Teramura · 1×
Citations per year

Countries citing papers authored by Jun Aikawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Aikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198774
2 201760
3 201658
4 201845
5 201840
6 201731
7 200531
8 201030
9 201627
10 201724
11 201524
12 201821
13 200720
14 199117
15 201715
16 198615
17 201914
18 198714
19 201613
20 201513

About Jun Aikawa

Jun Aikawa is a scholar working on Rheumatology, Immunology and Allergy, Pharmacology, Clinical Biochemistry and Orthopedics and Sports Medicine, having authored 55 papers that have together received 767 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (20 papers), Inflammatory mediators and NSAID effects (11 papers), Cell Adhesion Molecules Research (6 papers), Neuropeptides and Animal Physiology (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Tendon Structure and Treatment (5 papers), Mast cells and histamine (5 papers) and Total Knee Arthroplasty Outcomes (5 papers). The work is most often cited by research in Rheumatology (285 citations), Immunology and Allergy (57 citations), Pharmacology (148 citations), Orthopedics and Sports Medicine (75 citations) and Cell Biology (98 citations). Jun Aikawa has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masashi Takaso, Gen Inoue, Kentaro Uchida, Masayuki Miyagi, Dai Iwase, Shotaro Takano, Manabu Mukai, Hisako Fujimaki, Hiroyuki Sekiguchi and Toshihide Matsumoto. Their work appears in journals such as BMC Musculoskeletal Disorders, Journal of Orthopaedic Surgery and Research, Journal of Inherited Metabolic Disease, Diabetes Metabolic Syndrome and Obesity and International Journal of Molecular Sciences.

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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