M Maeda
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- Antibiotic Use and Resistance 20
- Immunology top 2%
- T-cell and Retrovirus Studies 17
- Reproductive System and Pregnancy 10
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 11
- Immunology and Allergy top 5%
- Reproductive Medicine top 5%
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- Vector-Borne Animal Diseases 12
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- Antibiotic Resistance in Bacteria 9
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- Bacterial Identification and Susceptibility Testing 9
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- Patient Satisfaction in Healthcare 7
M Maeda
114 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 124
- Applied Microbiology and Biotechnology 207
- Immunology 1.5k
- Agronomy and Crop Science 578
- Immunology and Allergy 150
- Reproductive Medicine 197
Countries citing papers authored by M Maeda
This map shows the geographic impact of M 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 M Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Maeda more than expected).
Fields of papers citing papers by M Maeda
This network shows the impact of papers produced by M 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 M Maeda. The network helps show where M Maeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 22 | |
| 17 | 血流感染症における死亡率の疫学と危険因子:日本における単一施設後向き研究【JST・京大機械翻訳】 | 2018 | 1 |
| 18 | CD44 participates in tumor cell adhesion to endothelial cells in the experimental metastatic process in B16BL6 melanoma cells. | 1995 | 7 |
| 19 | 1989 | 59 | |
| 20 | 1985 | 157 |
About M Maeda
M Maeda is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Immunology and Agronomy and Crop Science, having authored 116 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (20 papers), T-cell and Retrovirus Studies (17 papers), Vector-Borne Animal Diseases (12 papers), Animal Disease Management and Epidemiology (11 papers), Reproductive System and Pregnancy (10 papers), Antibiotic Resistance in Bacteria (9 papers), Bacterial Identification and Susceptibility Testing (9 papers) and Patient Satisfaction in Healthcare (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (207 citations), Immunology (1.5k citations), Agronomy and Crop Science (578 citations), Immunology and Allergy (150 citations) and Reproductive Medicine (197 citations). M Maeda has collaborated with scholars based in Japan, United States and Croatia. Frequent co-authors include Takashi Uchiyama, Junji Yodoi, Hiroshi Fujiwara, Akio Tsuji, Naomi Wakasugi, A Yoshida, Akira Mitsui, Hiro Wakasugi, Thomas Tursz and Y Tagaya. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Human Reproduction, Blood, The Journal of Experimental Medicine and Antibiotics.
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.