Mai Yoshida
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
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- Allergic Rhinitis and Sensitization
- Food Allergy and Anaphylaxis Research
Papers in
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- Dermatology and Skin Diseases 9
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- Glycosylation and Glycoproteins Research 1
- Co-authors
- Hidehisa Saeki (10 shared papers)Naoko Kanda (9 shared papers)Eita Fujimoto (8 shared papers)Teppei Hagino (8 shared papers)Mariko Miyazaki (11 shared papers)Sadayoshi Ito (7 shared papers)Yoko Funasaka (2 shared papers)Toshio Inagi (1 shared paper)
- Journals
- Journal of Dermatological Treatment (3 papers)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)Pharmaceuticals (1 paper)The Journal of Dermatology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mai Yoshida
28 papers receiving 268 citations
Peers
Comparison fields: 5 of 61
- Dermatology 105
- Immunology and Allergy 31
- Nephrology 20
- Rheumatology 39
- Pharmacology 15
Countries citing papers authored by Mai Yoshida
This map shows the geographic impact of Mai Yoshida'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 Mai Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Yoshida more than expected).
Fields of papers citing papers by Mai Yoshida
This network shows the impact of papers produced by Mai Yoshida. 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 Mai Yoshida. The network helps show where Mai Yoshida may publish in the future.
Co-authors
The 25 scholars most cited alongside Mai Yoshida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 30 | |
| 2 | 2020 | 22 | |
| 3 | 2023 | 21 | |
| 4 | 2024 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2024 | 14 | |
| 11 | 2018 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 3 |
About Mai Yoshida
Mai Yoshida is a scholar working on Dermatology, Molecular Biology, Rheumatology, Immunology and Nephrology, having authored 30 papers that have together received 270 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (9 papers), Systemic Lupus Erythematosus Research (3 papers), Pregnancy and Medication Impact (2 papers), Renal Diseases and Glomerulopathies (2 papers), Dialysis and Renal Disease Management (2 papers), Motor Control and Adaptation (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Dermatology (105 citations), Immunology and Allergy (31 citations), Nephrology (20 citations), Rheumatology (39 citations) and Pharmacology (15 citations). Mai Yoshida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hidehisa Saeki, Naoko Kanda, Eita Fujimoto, Teppei Hagino, Mariko Miyazaki, Sadayoshi Ito, Yoko Funasaka, Toshio Inagi, Kentaro Kogure and Tamotsu Tanaka. Their work appears in journals such as Journal of Dermatological Treatment, Scientific Reports, Biochemical and Biophysical Research Communications, Pharmaceuticals and The Journal of Dermatology.
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.