Mayumi Mukai
- Oncology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pediatrics, Perinatology and Child Health
- Biochemistry top 5%
- Co-authors
- Ken‐ichi InuiHideyuki SaitoTomohiro TeradaKiyohiro HamataniKei NakachiKeiko TakahashiHidetaka EguchiYûzo Hayashi
- Topics
- Drug Transport and Resistance Mechanisms (5 papers)Cancer-related Molecular Pathways (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)
- Cited by
- PhysiologyBiochemistryOncology
- Partner nations
- JapanUnited StatesCyprus
In The Last Decade
Mayumi Mukai
20 papers receiving 577 citations
Peers
Comparison fields: 5 of 86
- Oncology 310
- Molecular Biology 179
- Endocrinology, Diabetes and Metabolism 149
- Pediatrics, Perinatology and Child Health 86
- Biochemistry 84
Countries citing papers authored by Mayumi Mukai
This map shows the geographic impact of Mayumi Mukai'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 Mayumi Mukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Mukai more than expected).
Fields of papers citing papers by Mayumi Mukai
This network shows the impact of papers produced by Mayumi Mukai. 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 Mayumi Mukai. The network helps show where Mayumi Mukai may publish in the future.
Co-authorship network of co-authors of Mayumi Mukai
This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Mukai. A scholar is included among the top collaborators of Mayumi Mukai 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 Mayumi Mukai. Mayumi Mukai 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 | 5 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | 24 | |
| 8 | 46 | |
| 9 | 3 | |
| 10 | 123 | |
| 11 | 35 | |
| 12 | [Acute lymphoblastic leukemia with breast infiltration during the second trimester of pregnancy and followed by successful delivery]. | 5 |
| 13 | 28 | |
| 14 | 18 | |
| 15 | Characterization of stably transfected kidney epithelial cell line expressing rat H+/peptide cotransporter PEPT1: localization of PEPT1 and transport of beta-lactam antibiotics. | 45 |
| 16 | 84 | |
| 17 | 81 | |
| 18 | K-ras gene mutations in early colorectal cancer ... flat elevated vs polyp-forming cancer.... | 54 |
| 19 | Hypertensive effects on pregnancy in spontaneously hypertensive rats (SHR) and stroke-prone SHR (SHRSP). | 10 |
| 20 | 1 |
About Mayumi Mukai
Mayumi Mukai is a scholar working on Physiology, Oncology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 594 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Cancer-related Molecular Pathways (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Physiology (55 citations), Biochemistry (84 citations) and Oncology (310 citations). Mayumi Mukai has collaborated with scholars based in Japan, United States and Cyprus. Frequent co-authors include Ken‐ichi Inui, Hideyuki Saito, Tomohiro Terada, Kiyohiro Hamatani, Kei Nakachi, Keiko Takahashi, Hidetaka Eguchi, Yûzo Hayashi, Yoichiro Kusunoki and Wataru Yasui. Their work appears in journals such as Cancer Research, Biochemical and Biophysical Research Communications and FEBS Letters.
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.