Masashi Deguchi
- Immunology top 0.5%
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Oncology top 5%
- Reproductive Medicine top 2%
- Co-authors
- Shin‐ichi MuramatsuSusumu IkeharaRalph M. SteinmanKensuke InabaMuneo InabaNikolaus RomaniYuan ChengAaron J.W. Hsueh
- Topics
- Cannabis and Cannabinoid Research (5 papers)Asthma and respiratory diseases (5 papers)Hippo pathway signaling and YAP/TAZ (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicinePLoS ONE
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masashi Deguchi
26 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 3.3k
- Molecular Biology 1.4k
- Public Health, Environmental and Occupational Health 727
- Oncology 530
- Reproductive Medicine 412
Countries citing papers authored by Masashi Deguchi
This map shows the geographic impact of Masashi Deguchi'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 Masashi Deguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Deguchi more than expected).
Fields of papers citing papers by Masashi Deguchi
This network shows the impact of papers produced by Masashi Deguchi. 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 Masashi Deguchi. The network helps show where Masashi Deguchi may publish in the future.
Co-authorship network of co-authors of Masashi Deguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Deguchi. A scholar is included among the top collaborators of Masashi Deguchi 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 Masashi Deguchi. Masashi Deguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 23 | |
| 3 | 17 | |
| 4 | 31 | |
| 5 | 95 | |
| 6 | Hippo signaling disruption and Akt stimulation of ovarian follicles for infertility treatmentbreakdown → | 618 |
| 7 | 50 | |
| 8 | 9 | |
| 9 | 44 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 9 | |
| 16 | 181 | |
| 17 | 27 | |
| 18 | 21 | |
| 19 | 15 | |
| 20 | Generation of large numbers of dendritic cells from mouse bone marrow cultures supplemented with granulocyte/macrophage colony-stimulating factor.breakdown → | 3279 |
About Masashi Deguchi
Masashi Deguchi is a scholar working on Biological Psychiatry, Immunology and Allergy and Pharmacology, having authored 26 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Asthma and respiratory diseases (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Immunology (3.3k citations), Immunology and Allergy (303 citations) and Reproductive Medicine (412 citations). Masashi Deguchi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shin‐ichi Muramatsu, Susumu Ikehara, Ralph M. Steinman, Kensuke Inaba, Muneo Inaba, Nikolaus Romani, Yuan Cheng, Aaron J.W. Hsueh, Kazuhiro Kawamura and Yorino Sato. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and PLoS ONE.
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.