Ayako Kojima

844 citations
27 papers · 654 · h-index 10

Impact in

Papers in

Ayako Kojima

27 papers receiving 646 citations

Peers

Ayako Kojima
Comparison fields: 5 of 90
  • Reproductive Medicine 84
  • Neurology 81
  • Biological Psychiatry 19
  • Genetics 204
  • Endocrine and Autonomic Systems 49
Replace Gloria M. Cónsole with:
Gloria M. Cónsole Argentina
Rong‐Ming Lyu United States
Kosara Smiljanić Serbia
Virginie Mansuy‐Aubert United States
Magdalena Szymańska Poland
Francine Tramontina Brazil
Carmen González del Rey Spain
Guoliang Zhang China
Gregory L. Bomhoff United States
Andrea Štofková Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Ayako Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008260
2 2010115
3 199251
4 201440
5 201137
6 201436
7 201331
8 201520
9 201811
10 197510
11 20087
12 20186
13 20225
14 19655
15 20184
16 19653
17 19662
18 20192
19 20231
20 20211

About Ayako Kojima

Ayako Kojima is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Epidemiology and Molecular Biology, having authored 27 papers that have together received 654 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Antifungal resistance and susceptibility (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Asthma and respiratory diseases (2 papers), Sleep and related disorders (2 papers), Thyroid Disorders and Treatments (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Reproductive Medicine (84 citations), Neurology (81 citations), Biological Psychiatry (19 citations), Genetics (204 citations) and Endocrine and Autonomic Systems (49 citations). Ayako Kojima has collaborated with scholars based in Japan and India. Frequent co-authors include Yasumasa Yoshiyama, Kimihito Arai, Chieko Ishikawa, Yuriko Sugawara, Kengo Yamawaki, Makoto Kakitani, Kazuma Tomizuka, Takeshi Oshima, Kaori Horikoshi and Rina Kitada. Their work appears in journals such as Industrial Health, Neurobiology of Disease, Experimental Biology and Medicine, Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi) and Lung.

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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