Ai Kitano

29 papers receiving 986 citations

Peers

Ai Kitano
Comparison fields: 5 of 82
  • Ophthalmology 195
  • Radiology, Nuclear Medicine and Imaging 462
  • Rehabilitation 125
  • Sensory Systems 79
  • Immunology and Allergy 62
Replace Kumi Shirai with:
Kumi Shirai Japan
Takayoshi Sumioka Japan
Mina Massaro‐Giordano United States
Martin Filipec Czechia
Haoyun Duan China
Yi‐Jen Hsueh Taiwan
M. Rocı́o Sierra-Honigmann United States
Daisy Y. Shu Australia
Yuki Mizuno Japan
Junko Sawada United States
Ai Kitano relative to Kumi Shirai Japan Kumi Shirai's profile →
Citations per field
00.5×1.7×
Kumi Shirai · 1×
Citations per year

Countries citing papers authored by Ai Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Ai Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007140
2 201186
3 200671
4 200770
5 200866
6 200853
7 200946
8
Inhibitory effect of blocking TGF-beta/Smad signal on injury-induced fibrosis of corneal endothelium.
200846
9 200744
10 201237
11 200633
12 201033
13 201030
14
Therapeutic potential of trichostatin A to control inflammatory and fibrogenic disorders of the ocular surface.
201030
15 200626
16 200725
17 201024
18
Suppression of injury-induced epithelial-mesenchymal transition in a mouse lens epithelium lacking tenascin-C.
201022
19 200821
20 201020

About Ai Kitano

Ai Kitano is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Ophthalmology, Genetics and Rheumatology, having authored 30 papers that have together received 996 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (19 papers), Ocular Surface and Contact Lens (5 papers), Connective tissue disorders research (4 papers), Glaucoma and retinal disorders (4 papers), Connective Tissue Growth Factor Research (4 papers), Bone and Dental Protein Studies (4 papers), Wound Healing and Treatments (4 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Ophthalmology (195 citations), Radiology, Nuclear Medicine and Imaging (462 citations), Rehabilitation (125 citations), Sensory Systems (79 citations) and Immunology and Allergy (62 citations). Ai Kitano has collaborated with scholars based in Japan and United States. Frequent co-authors include Shizuya Saika, Yuka Okada, Osamu Yamanaka, Kazuo Ikeda, Kumi Shirai, Takayoshi Sumioka, Kathleen C. Flanders, Takeshi Miyamoto, K. Miyazaki and Winston W.‐Y. Kao. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Laboratory Investigation, Ophthalmic Research, American Journal Of Pathology and The Ocular Surface.

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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