Masamitsu Maekawa
- Molecular Biology
- Oncology top 10%
- Physiology top 10%
- Epidemiology
- Pharmacology top 2%
- Co-authors
- Nariyasu ManoHiroaki YamaguchiJunichi GotoToshihiro SatoJiro OguraTakashi IidaMiki ShimadaMasahiro Hiratsuka
- Topics
- Lysosomal Storage Disorders Research (23 papers)Drug Transport and Resistance Mechanisms (19 papers)Pharmacogenetics and Drug Metabolism (14 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masamitsu Maekawa
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 461
- Oncology 386
- Physiology 274
- Epidemiology 213
- Pharmacology 175
Countries citing papers authored by Masamitsu Maekawa
This map shows the geographic impact of Masamitsu Maekawa'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 Masamitsu Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masamitsu Maekawa more than expected).
Fields of papers citing papers by Masamitsu Maekawa
This network shows the impact of papers produced by Masamitsu Maekawa. 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 Masamitsu Maekawa. The network helps show where Masamitsu Maekawa may publish in the future.
Co-authorship network of co-authors of Masamitsu Maekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Masamitsu Maekawa. A scholar is included among the top collaborators of Masamitsu Maekawa 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 Masamitsu Maekawa. Masamitsu Maekawa 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Identification and diagnostic performance evaluation of biomarkers for Niemann-Pick disease type C using mass spectrometry | 1 |
| 15 | 5 | |
| 16 | Development of a simultaneous analytical method for five conjugated cholesterol metabolites in urine and investigation of their performance as diagnostic markers for Niemann-Pick disease type C | 0 |
| 17 | Discovery of diagnostic markers for Niemann-Pick disease type C by focused metabolomics | 1 |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 14 |
About Masamitsu Maekawa
Masamitsu Maekawa is a scholar working on Clinical Biochemistry, Pharmacology and Chemical Health and Safety, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (23 papers), Drug Transport and Resistance Mechanisms (19 papers) and Pharmacogenetics and Drug Metabolism (14 papers). The work is most often cited by research in Pharmacology (175 citations), Clinical Biochemistry (120 citations) and Oncology (386 citations). Masamitsu Maekawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nariyasu Mano, Hiroaki Yamaguchi, Junichi Goto, Toshihiro Sato, Jiro Ogura, Takashi Iida, Miki Shimada, Masahiro Hiratsuka, Noriyasu Hirasawa and Masafumi Kikuchi. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.