Kenichiro Maeda
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
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- Radiation Therapy and Dosimetry 5
- Co-authors
- K. Mark Coggeshall (4 shared papers)Douglas A. Drevets (1 shared paper)Bojing Shao (1 shared paper)Longbiao Yao (1 shared paper)Tadayuki Yago (1 shared paper)Jonathan J. Miner (1 shared paper)Arkadiusz G. Kłopocki (1 shared paper)Rodger P. McEver (1 shared paper)
- Journals
- Blood (3 papers)Medical Physics (2 papers)Journal of Cellular Physiology (2 papers)PLoS ONE (2 papers)Gene (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Kenichiro Maeda
20 papers receiving 741 citations
Peers
Comparison fields: 5 of 104
- Immunology and Allergy 101
- Physiology 61
- Immunology 230
- Radiation 90
- Genetics 63
Countries citing papers authored by Kenichiro Maeda
This map shows the geographic impact of Kenichiro 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 Kenichiro Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Maeda more than expected).
Fields of papers citing papers by Kenichiro Maeda
This network shows the impact of papers produced by Kenichiro 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 Kenichiro Maeda. The network helps show where Kenichiro Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenichiro Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 168 | |
| 2 | 2010 | 118 | |
| 3 | 2011 | 95 | |
| 4 | 2009 | 90 | |
| 5 | 2010 | 59 | |
| 6 | 2008 | 43 | |
| 7 | 2012 | 38 | |
| 8 | 2013 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2012 | 21 | |
| 11 | 2002 | 20 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2016 | 5 | |
| 15 | 1975 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 1979 | 1 | |
| 20 | 1976 | 1 |
About Kenichiro Maeda
Kenichiro Maeda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 22 papers that have together received 750 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (5 papers), Advanced Radiotherapy Techniques (4 papers), T-cell and B-cell Immunology (2 papers), Oral and Maxillofacial Pathology (2 papers), Bone Tumor Diagnosis and Treatments (2 papers), Laser Applications in Dentistry and Medicine (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology and Allergy (101 citations), Physiology (61 citations), Immunology (230 citations), Radiation (90 citations) and Genetics (63 citations). Kenichiro Maeda has collaborated with scholars based in Japan and United States. Frequent co-authors include K. Mark Coggeshall, Douglas A. Drevets, Bojing Shao, Longbiao Yao, Tadayuki Yago, Jonathan J. Miner, Arkadiusz G. Kłopocki, Rodger P. McEver, Brittany Weber and A. Darise Farris. Their work appears in journals such as Blood, Medical Physics, Journal of Cellular Physiology, PLoS ONE and Gene.
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.