Midori Yoshida
- Plant Science top 2%
- Molecular Biology top 10%
- Nutrition and Dietetics top 1%
- Health, Toxicology and Mutagenesis top 2%
- Genetics top 5%
- Co-authors
- Akira KawakamiAkihiko MaekawaKaoru InoueMasashi TakahashiAkiyoshi NishikawaWim Van den EndeGen WatanabeJiro Abe
- Topics
- Estrogen and related hormone effects (45 papers)Microbial Metabolites in Food Biotechnology (31 papers)Effects and risks of endocrine disrupting chemicals (27 papers)
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Midori Yoshida
198 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 139
- Plant Science 1.3k
- Molecular Biology 987
- Nutrition and Dietetics 855
- Health, Toxicology and Mutagenesis 547
- Genetics 511
Countries citing papers authored by Midori Yoshida
This map shows the geographic impact of Midori 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 Midori Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Midori Yoshida more than expected).
Fields of papers citing papers by Midori Yoshida
This network shows the impact of papers produced by Midori 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 Midori Yoshida. The network helps show where Midori Yoshida may publish in the future.
Co-authorship network of co-authors of Midori Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Midori Yoshida. A scholar is included among the top collaborators of Midori Yoshida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Midori Yoshida. Midori Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 30 | |
| 3 | 14 | |
| 4 | 31 | |
| 5 | 21 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 47 | |
| 9 | 25 | |
| 10 | 32 | |
| 11 | 17 | |
| 12 | Accumulation of 3-O-feruloylquinic Acid Induced by Low Temperature in Wheat(平成17年度 第51回低温低物工学会研究報告) | 1 |
| 13 | Expression of profiles of cytochrome P450 enzymes in the uterus and liver of female rats treated with indole-3-carbinol(Liver, Alimentary system, Proceedings of the 32nd Annual Meeting) | 1 |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | 211 | |
| 19 | 23 | |
| 20 | Seasonal Changes in Freezing Tolerance, Moisture Content and Dry Weight of Three Temperate Grasses | 11 |
About Midori Yoshida
Midori Yoshida is a scholar working on Reproductive Medicine, Nutrition and Dietetics and Health, Toxicology and Mutagenesis, having authored 203 papers that have together received 3.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (45 papers), Microbial Metabolites in Food Biotechnology (31 papers) and Effects and risks of endocrine disrupting chemicals (27 papers). The work is most often cited by research in Nutrition and Dietetics (855 citations), Health, Toxicology and Mutagenesis (547 citations) and Plant Science (1.3k citations). Midori Yoshida has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Akira Kawakami, Akihiko Maekawa, Kaoru Inoue, Masashi Takahashi, Akiyoshi Nishikawa, Wim Van den Ende, Gen Watanabe, Jiro Abe, Kazuyoshi Taya and Shin‐ichi Katsuda. Their work appears in journals such as Blood, PLoS ONE and Molecular and Cellular Biology.
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.