Kihei Maekawa
- Physiology top 10%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Cell Biology top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- Hiroyuki IdaHiroshi KawameYoshikatsu EtoY. EtoToyojiro MatsuishiOwen M. RennertToshikazu NagakuraToru Obata
- Topics
- Lysosomal Storage Disorders Research (21 papers)Epilepsy research and treatment (12 papers)Carbohydrate Chemistry and Synthesis (11 papers)
- Journals
- BloodOncogeneBrain Research
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Kihei Maekawa
102 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Physiology 364
- Molecular Biology 277
- Pediatrics, Perinatology and Child Health 165
- Cell Biology 158
- Psychiatry and Mental health 144
Countries citing papers authored by Kihei Maekawa
This map shows the geographic impact of Kihei 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 Kihei Maekawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kihei Maekawa more than expected).
Fields of papers citing papers by Kihei Maekawa
This network shows the impact of papers produced by Kihei 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 Kihei Maekawa. The network helps show where Kihei Maekawa may publish in the future.
Co-authorship network of co-authors of Kihei Maekawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kihei Maekawa. A scholar is included among the top collaborators of Kihei 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 Kihei Maekawa. Kihei 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 | 0 | |
| 2 | 9 | |
| 3 | Topography and Number of Cortical Tubers in Tuberous Sclerosis: Comparison between Patients with and without West Syndrome.:Comparison between Patients with and without West Syndrome | 3 |
| 4 | 16 | |
| 5 | 22 | |
| 6 | 27 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Studies on Erythrocyte and Leukocyte Phosphoglycerate Kinase Deficiency with Neurologic Disease | 2 |
About Kihei Maekawa
Kihei Maekawa is a scholar working on Physiology, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 108 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (21 papers), Epilepsy research and treatment (12 papers) and Carbohydrate Chemistry and Synthesis (11 papers). The work is most often cited by research in Physiology (364 citations), Cell Biology (158 citations) and Psychiatry and Mental health (144 citations). Kihei Maekawa has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Hiroyuki Ida, Hiroshi Kawame, Yoshikatsu Eto, Y. Eto, Toyojiro Matsuishi, Owen M. Rennert, Toshikazu Nagakura, Toru Obata, Mitsuyoshi Urashima and Etsuo Ohtaki. Their work appears in journals such as Blood, Oncogene and Brain Research.
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.