Munetoshi Maeda

20 papers receiving 357 citations

Peers

Munetoshi Maeda
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 269
  • Radiation 67
  • Pulmonary and Respiratory Medicine 197
  • Cancer Research 29
  • Aging 3
Replace Alisa Kobayashi with:
Alisa Kobayashi Japan
Danai Laskaratou Greece
Nina Frederike Jeppesen Edin Norway
Christina M. Fallgren United States
Morgane Dos Santos France
Ellina Macaeva Belgium
Mario López Spain
Narongchai Autsavapromporn Thailand
Prasad V.S.V. Neti United States
Naoyuki Ukon Japan
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Citations per year

Countries citing papers authored by Munetoshi Maeda

Since Specialization
Citations

This map shows the geographic impact of Munetoshi 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 Munetoshi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munetoshi Maeda more than expected).

Fields of papers citing papers by Munetoshi Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Munetoshi 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 Munetoshi Maeda. The network helps show where Munetoshi Maeda may publish in the future.

Co-authors

The 25 scholars most cited alongside Munetoshi Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Munetoshi Maeda Line = papers co-authored together Munetoshi Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201183
2 200943
3 200834
4 201434
5 201032
6 201323
7 201021
8 201519
9 200616
10 201313
11 201210
12 20229
13 20049
14 20115
15 20214
16 20163
17
Study of the Relationship between Bystander Cell Death and Intracellular Energy-deposited Sites Using a KEK-PF SR X-ray Microbeam Irradiation System
20092
18 20201
19 20251
20
Secretory cells of pulmonary surfactant. A comparative histochemical study of Clara cells and granular pneumocytes.
19741

About Munetoshi Maeda

Munetoshi Maeda is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Molecular Biology and Computational Mechanics, having authored 22 papers that have together received 363 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (13 papers), Radiation Therapy and Dosimetry (10 papers), Advanced Radiotherapy Techniques (3 papers), Heat shock proteins research (2 papers), Ion-surface interactions and analysis (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Cell death mechanisms and regulation (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (269 citations), Radiation (67 citations), Pulmonary and Respiratory Medicine (197 citations), Cancer Research (29 citations) and Aging (3 citations). Munetoshi Maeda has collaborated with scholars based in Japan and China. Frequent co-authors include Masanori Tomita, Katsumi Kobayashi, Noriko Usami, Kensuke Otsuka, Nobuyuki Hamada, Hideki Matsumoto, Hiroshi Maezawa, Yasuhiko Kobayashi, Tomoo Funayama and Katsumi Kobayashi. Their work appears in journals such as Journal of Radiation Research, Radiation Research, International Journal of Radiation Biology, Current Molecular Pharmacology and Scientific Reports.

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.

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