Makoto Makishima
- Oncology top 0.2%
- Drug Transport and Resistance Mechanisms 43
- Pharmacology top 0.1%
- Biochemistry top 0.5%
- Antioxidant Activity and Oxidative Stress 15
- Physiology top 0.5%
- Adipose Tissue and Metabolism 15
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- Vitamin D Research Studies 53
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- Peroxisome Proliferator-Activated Receptors 45
- Retinoids in leukemia and cellular processes 43
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- Estrogen and related hormone effects 44
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- Cholesterol and Lipid Metabolism 40
- Co-authors
- David J. MangelsdorfIichiro ShimomuraMorihiro MatsudaMasanori IwakiYukio YamadaTakuya FujitaOsamu NakayamaShigetada Furukawa
- Cited by
- OncologyPharmacologyBiochemistry
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Makoto Makishima
251 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 4.9k
- Pharmacology 1.2k
- Biochemistry 817
- Physiology 3.2k
- Endocrinology, Diabetes and Metabolism 2.0k
Countries citing papers authored by Makoto Makishima
This map shows the geographic impact of Makoto Makishima'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 Makoto Makishima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Makishima more than expected).
Fields of papers citing papers by Makoto Makishima
This network shows the impact of papers produced by Makoto Makishima. 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 Makoto Makishima. The network helps show where Makoto Makishima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Makishima, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 51 | |
| 18 | 2017 | 7 | |
| 19 | 2008 | 27 | |
| 20 | [Lipid metabolism and nuclear receptors]. | 2003 | 2 |
About Makoto Makishima
Makoto Makishima is a scholar working on Pathology and Forensic Medicine, Biochemistry and Biochemistry, having authored 258 papers that have together received 16.6k indexed citations. Recurring topics across this work include Vitamin D Research Studies (53 papers), Peroxisome Proliferator-Activated Receptors (45 papers), Estrogen and related hormone effects (44 papers), Retinoids in leukemia and cellular processes (43 papers), Drug Transport and Resistance Mechanisms (43 papers), Cholesterol and Lipid Metabolism (40 papers), Adipose Tissue and Metabolism (15 papers) and Antioxidant Activity and Oxidative Stress (15 papers). The work is most often cited by research in Oncology (4.9k citations), Pharmacology (1.2k citations) and Biochemistry (817 citations). Makoto Makishima has collaborated with scholars based in Japan, United States and India. Frequent co-authors include David J. Mangelsdorf, Iichiro Shimomura, Morihiro Matsuda, Masanori Iwaki, Yukio Yamada, Takuya Fujita, Osamu Nakayama, Shigetada Furukawa, Michio Shimabukuro and Joyce J. Repa. Their work appears in journals such as Science, Cell and Journal of Biological 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.