Saburo Nakashima
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Oncology
- Molecular Biology
- Gastroenterology top 5%
- Co-authors
- Masataka MatsumotoSonshin TakaoTakashi AikouSumiya IshigamiMasamichi BabaShoji NatsugoeHiroshi OkumuraAkihiro Nakajo
- Topics
- Esophageal Cancer Research and Treatment (10 papers)Gastric Cancer Management and Outcomes (8 papers)Metastasis and carcinoma case studies (5 papers)
In The Last Decade
Saburo Nakashima
23 papers receiving 543 citations
Peers
Comparison fields: 5 of 44
- Pulmonary and Respiratory Medicine 281
- Surgery 234
- Oncology 229
- Molecular Biology 179
- Gastroenterology 85
Countries citing papers authored by Saburo Nakashima
This map shows the geographic impact of Saburo Nakashima'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 Saburo Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saburo Nakashima more than expected).
Fields of papers citing papers by Saburo Nakashima
This network shows the impact of papers produced by Saburo Nakashima. 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 Saburo Nakashima. The network helps show where Saburo Nakashima may publish in the future.
Co-authorship network of co-authors of Saburo Nakashima
This figure shows the co-authorship network connecting the top 25 collaborators of Saburo Nakashima. A scholar is included among the top collaborators of Saburo Nakashima 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 Saburo Nakashima. Saburo Nakashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 23 | |
| 4 | 49 | |
| 5 | 11 | |
| 6 | Biological properties of biopsy specimens are useful for predicting lymph node micrometastasis in esophageal carcinoma. | 2 |
| 7 | Smad4 and transforming growth factor beta1 expression in patients with squamous cell carcinoma of the esophagus. | 74 |
| 8 | 14 | |
| 9 | 37 | |
| 10 | 18 | |
| 11 | 81 | |
| 12 | 10 | |
| 13 | 54 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | I1-1 The Incidence and Prediction of Micrometastasis In The Cervical Lymph Nodes In Esophageal Sqamous Cell Carcinoma. | 1 |
| 17 | 27 | |
| 18 | Expression of p21WAF1/Cip1 in the p53-dependent pathway is related to prognosis in patients with advanced esophageal carcinoma. | 50 |
| 19 | 7 | |
| 20 | 0 |
About Saburo Nakashima
Saburo Nakashima is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 554 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (8 papers) and Metastasis and carcinoma case studies (5 papers). The work is most often cited by research in Gastroenterology (85 citations), Pulmonary and Respiratory Medicine (281 citations) and Oncology (229 citations). Saburo Nakashima has collaborated with scholars based in Japan and Greece. Frequent co-authors include Masataka Matsumoto, Sonshin Takao, Takashi Aikou, Sumiya Ishigami, Masamichi Baba, Shoji Natsugoe, Hiroshi Okumura, Akihiro Nakajo, Shoji Natsugoe and Shuichi Hokita. Their work appears in journals such as Gastroenterology, Cancer Letters and Annals of Surgical Oncology.
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.