Tatsumasa Mae
- Pharmacology top 0.5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Medicine top 2%
- Plant Science
- Co-authors
- Kaku NakagawaHideyuki KishidaTozo NishiyamaYoshihiro MimakiMinpei KurodaTeruo KawadaMikio KitaharaShin‐ichi Yokota
- Topics
- Pharmacological Effects of Natural Compounds (9 papers)Hormonal Regulation and Hypertension (7 papers)Peroxisome Proliferator-Activated Receptors (3 papers)
- Journals
- Journal of Agricultural and Food ChemistryJournal of NutritionBioorganic & Medicinal Chemistry
- Partner nations
- JapanUnited States
In The Last Decade
Tatsumasa Mae
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Pharmacology 478
- Molecular Biology 462
- Endocrinology, Diabetes and Metabolism 331
- Molecular Medicine 220
- Plant Science 163
Countries citing papers authored by Tatsumasa Mae
This map shows the geographic impact of Tatsumasa Mae'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 Tatsumasa Mae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsumasa Mae more than expected).
Fields of papers citing papers by Tatsumasa Mae
This network shows the impact of papers produced by Tatsumasa Mae. 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 Tatsumasa Mae. The network helps show where Tatsumasa Mae may publish in the future.
Co-authorship network of co-authors of Tatsumasa Mae
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsumasa Mae. A scholar is included among the top collaborators of Tatsumasa Mae 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 Tatsumasa Mae. Tatsumasa Mae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 52 | |
| 3 | 41 | |
| 4 | 70 | |
| 5 | 74 | |
| 6 | 105 | |
| 7 | 50 | |
| 8 | 49 | |
| 9 | 293 | |
| 10 | 21 | |
| 11 | 118 | |
| 12 | 79 | |
| 13 | 93 | |
| 14 | The effects of KNK437, a novel inhibitor of heat shock protein synthesis, on the acquisition of thermotolerance in a murine transplantable tumor in vivo. | 68 |
About Tatsumasa Mae
Tatsumasa Mae is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Molecular Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (9 papers), Hormonal Regulation and Hypertension (7 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Pharmacology (478 citations), Molecular Medicine (220 citations) and Endocrinology, Diabetes and Metabolism (331 citations). Tatsumasa Mae has collaborated with scholars based in Japan and United States. Frequent co-authors include Kaku Nakagawa, Hideyuki Kishida, Tozo Nishiyama, Yoshihiro Mimaki, Minpei Kuroda, Teruo Kawada, Mikio Kitahara, Shin‐ichi Yokota, Naoki Arai and Kazuma Takahashi. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Nutrition and Bioorganic & Medicinal Chemistry.
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.