Nao Shibanuma
- Surgery top 10%
- Endocrine and Autonomic Systems top 10%
- Biomedical Engineering
- Physiology
- Molecular Biology
- Co-authors
- Masahiro KurosakaRyosuke KurodaKazunari IshidaTomoyuki MatsumotoAkira HashiramotoKohsuke YoshidaKoji TakayamaShinya Hayashi
- Topics
- Total Knee Arthroplasty Outcomes (43 papers)Orthopaedic implants and arthroplasty (37 papers)Orthopedic Infections and Treatments (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Nao Shibanuma
61 papers receiving 685 citations
Peers
Comparison fields: 5 of 87
- Surgery 399
- Endocrine and Autonomic Systems 103
- Biomedical Engineering 103
- Physiology 67
- Molecular Biology 57
Countries citing papers authored by Nao Shibanuma
This map shows the geographic impact of Nao Shibanuma'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 Nao Shibanuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nao Shibanuma more than expected).
Fields of papers citing papers by Nao Shibanuma
This network shows the impact of papers produced by Nao Shibanuma. 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 Nao Shibanuma. The network helps show where Nao Shibanuma may publish in the future.
Co-authorship network of co-authors of Nao Shibanuma
This figure shows the co-authorship network connecting the top 25 collaborators of Nao Shibanuma. A scholar is included among the top collaborators of Nao Shibanuma 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 Nao Shibanuma. Nao Shibanuma 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 | 15 | |
| 3 | 17 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | Evaluating of hip joint alignment system in MDCT images | 3 |
| 15 | 23 | |
| 16 | Evaluation of pivot shift in the anterior cruciate ligament-injured knee using inertial and magnetic sensors | 2 |
| 17 | 0 | |
| 18 | Ultrasonography system of implant in bones for orthopedic surgery | 4 |
| 19 | 12 | |
| 20 | Fuzzy diagnosis for bonding degree of femur stem by using ultrasonic wave | 0 |
About Nao Shibanuma
Nao Shibanuma is a scholar working on Surgery, Internal Medicine and Medical Laboratory Technology, having authored 70 papers that have together received 706 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (43 papers), Orthopaedic implants and arthroplasty (37 papers) and Orthopedic Infections and Treatments (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (103 citations), Surgery (399 citations) and Internal Medicine (29 citations). Nao Shibanuma has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masahiro Kurosaka, Ryosuke Kuroda, Kazunari Ishida, Tomoyuki Matsumoto, Akira Hashiramoto, Kohsuke Yoshida, Koji Takayama, Shinya Hayashi, Hiroshi Sasaki and Steven J. Stanhope. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.