Sadayuki Murayama
- Pulmonary and Respiratory Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 2%
- Epidemiology top 5%
- Oncology top 5%
- Co-authors
- Kazuhiko OgawaJunji MurakamiTakafumi ToitaTsuneo YamashiroKouji MasudaYasumasa KakinohanaNorihisa HashiguchiK. Masuda
- Topics
- Lung Cancer Diagnosis and Treatment (28 papers)Medical Imaging and Pathology Studies (24 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)
- Cited by
- Pulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingObstetrics and Gynecology
- Partner nations
- JapanUnited StatesChile
In The Last Decade
Sadayuki Murayama
200 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 136
- Pulmonary and Respiratory Medicine 2.3k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Surgery 1.4k
- Epidemiology 758
- Oncology 697
Countries citing papers authored by Sadayuki Murayama
This map shows the geographic impact of Sadayuki Murayama'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 Sadayuki Murayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadayuki Murayama more than expected).
Fields of papers citing papers by Sadayuki Murayama
This network shows the impact of papers produced by Sadayuki Murayama. 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 Sadayuki Murayama. The network helps show where Sadayuki Murayama may publish in the future.
Co-authorship network of co-authors of Sadayuki Murayama
This figure shows the co-authorship network connecting the top 25 collaborators of Sadayuki Murayama. A scholar is included among the top collaborators of Sadayuki Murayama 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 Sadayuki Murayama. Sadayuki Murayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 21 | |
| 12 | 24 | |
| 13 | 5 | |
| 14 | ［症例報告］Posterior Reversible Encephalopathy Syndrome : Typical and AtyDical Findings on MR Imaging | 1 |
| 15 | 76 | |
| 16 | 36 | |
| 17 | 62 | |
| 18 | 69 | |
| 19 | 107 | |
| 20 | 31 |
About Sadayuki Murayama
Sadayuki Murayama is a scholar working on Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 207 papers that have together received 5.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (28 papers), Medical Imaging and Pathology Studies (24 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.3k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Obstetrics and Gynecology (378 citations). Sadayuki Murayama has collaborated with scholars based in Japan, United States and Chile. Frequent co-authors include Kazuhiko Ogawa, Junji Murakami, Takafumi Toita, Tsuneo Yamashiro, Kouji Masuda, Yasumasa Kakinohana, Norihisa Hashiguchi, K. Masuda, Genki Adachi and Lawrence Danso Buadu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.
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.