Yuichi Maeda
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies 15
- Systemic Lupus Erythematosus Research 9
- Spondyloarthritis Studies and Treatments 5
- Biological Psychiatry top 5%
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 6
- Immunology top 10%
- Biosimilars and Bioanalytical Methods 6
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research 9
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- Gut microbiota and health 11
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- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Kiyoshi TakedaAtsushi KumanogohShota NakamuraDaisuke MotookaHisako KayamaTakashi KurakawaTetsuya IidaEiji Umemoto
- Journals
- Annals of the Rheumatic Diseases (5 papers)Arthritis Research & Therapy (4 papers)Modern Rheumatology (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuichi Maeda
75 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Rheumatology 487
- Biological Psychiatry 65
- Infectious Diseases 382
- Immunology 375
- Hematology 187
Countries citing papers authored by Yuichi Maeda
This map shows the geographic impact of Yuichi Maeda'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 Yuichi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Maeda more than expected).
Fields of papers citing papers by Yuichi Maeda
This network shows the impact of papers produced by Yuichi Maeda. 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 Yuichi Maeda. The network helps show where Yuichi Maeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuichi Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 57 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 66 | |
| 14 | 2019 | 39 | |
| 15 | 2017 | 0 | |
| 16 | 2015 | 13 | |
| 17 | Coincidence of tuberous sclerosis and systemic lupus erythematosus | 2012 | 2 |
| 18 | A Study on the Application Conditions of FDTD Subgridding Algorithm for the Analysis of Yagi-Uda Antennas Placed in the Vicinity of Building Structures | 2007 | 1 |
| 19 | 1994 | 163 | |
| 20 | Development of high power linear pulse motor for artificial heart | 1991 | 1 |
About Yuichi Maeda
Yuichi Maeda is a scholar working on Rheumatology, Hematology, Immunology, Genetics and Hepatology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (15 papers), Gut microbiota and health (11 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Systemic Lupus Erythematosus Research (9 papers), Biosimilars and Bioanalytical Methods (6 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Spondyloarthritis Studies and Treatments (5 papers). The work is most often cited by research in Rheumatology (487 citations), Biological Psychiatry (65 citations), Infectious Diseases (382 citations), Immunology (375 citations) and Hematology (187 citations). Yuichi Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kiyoshi Takeda, Atsushi Kumanogoh, Shota Nakamura, Daisuke Motooka, Hisako Kayama, Takashi Kurakawa, Tetsuya Iida, Eiji Umemoto, Masashi Narazaki and Kazuyoshi Gotoh. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis Research & Therapy, Modern Rheumatology, Journal of Biological Chemistry and Clinical 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.