Masanobu Maeda
- Endocrine and Autonomic Systems top 1%
- Computational Mechanics top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Ocean Engineering top 2%
- Co-authors
- Koichi HishidaHidefumi WakiTatsuya KawaguchiSabine S. GouraudJulian F. R. PatonAkira KohsakaJun SakakibaraMasatsugu Nakai
- Topics
- Neuroscience of respiration and sleep (26 papers)Particle Dynamics in Fluid Flows (25 papers)Fluid Dynamics and Turbulent Flows (14 papers)
- Journals
- PLoS ONEBrain ResearchSpine
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masanobu Maeda
126 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 141
- Endocrine and Autonomic Systems 485
- Computational Mechanics 431
- Cardiology and Cardiovascular Medicine 373
- Physiology 307
- Ocean Engineering 260
Countries citing papers authored by Masanobu Maeda
This map shows the geographic impact of Masanobu Maeda'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 Masanobu Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masanobu Maeda more than expected).
Fields of papers citing papers by Masanobu Maeda
This network shows the impact of papers produced by Masanobu Maeda. 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 Masanobu Maeda. The network helps show where Masanobu Maeda may publish in the future.
Co-authorship network of co-authors of Masanobu Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Masanobu Maeda. A scholar is included among the top collaborators of Masanobu Maeda 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 Masanobu Maeda. Masanobu Maeda 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 | 0 | |
| 3 | 89 | |
| 4 | 26 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | TED-AJ03-370 Planar Measurement of Local Characteristics of Impinging Spray on Heating Plate | 1 |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 51 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | EXPERIMENTAL STUDY ON HEAT TRANSFER IN BINARY MIST FLOW (EFFECT OF INCIDENCE ANGLES OF A PLATE). | 1 |
| 20 | -33-ANALYSIS OF SURGICALLY INDUCED RIGHT BUNDLE BRANCH BLOCK PATTERN USING EPICARDIAL MAPPING TECHNIQUE AT SURGERY : Electrocardiography : PROCEEDINGS OF THE 42nd ANNUAL MEETING OF THE JAPANESE CIRCULATION SOCIETY | 1 |
About Masanobu Maeda
Masanobu Maeda is a scholar working on Endocrine and Autonomic Systems, Computational Mechanics and Ocean Engineering, having authored 135 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (26 papers), Particle Dynamics in Fluid Flows (25 papers) and Fluid Dynamics and Turbulent Flows (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (485 citations), Aging (42 citations) and Computational Mechanics (431 citations). Masanobu Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Koichi Hishida, Hidefumi Waki, Tatsuya Kawaguchi, Sabine S. Gouraud, Julian F. R. Paton, Akira Kohsaka, Jun Sakakibara, Masatsugu Nakai, Kazunori Yukawa and Hreday N. Sapru. Their work appears in journals such as PLoS ONE, Brain Research and Spine.
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.