G Sakamoto

696 total citations
12 papers, 162 citations indexed

About

G Sakamoto is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G Sakamoto has authored 12 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G Sakamoto's work include Breast Cancer Treatment Studies (4 papers), Cancer Risks and Factors (2 papers) and Metastasis and carcinoma case studies (2 papers). G Sakamoto is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Cancer Risks and Factors (2 papers) and Metastasis and carcinoma case studies (2 papers). G Sakamoto collaborates with scholars based in Japan, United States and Italy. G Sakamoto's co-authors include Futoshi Akiyama, Masafumi Kurosumi, Hitoshi Tsuda, Sandra Pastorino, Guoxiang Xie, Giovanni Gaudino, Michele Carbone, Carlotta Giorgi, Mingming Su and Paolo Pinton and has published in prestigious journals such as Cell Death and Differentiation, Japanese Journal of Clinical Oncology and PubMed.

In The Last Decade

G Sakamoto

11 papers receiving 160 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G Sakamoto Japan	5	66	58	56	52	19	12	162
Amanda Zucker United States	5	132 2.0×	66 1.1×	119 2.1×	94 1.8×	28 1.5×	7	252
Bryan Johnson United States	3	22 0.3×	46 0.8×	90 1.6×	66 1.3×	12 0.6×	7	126
Jinlong Song China	8	26 0.4×	31 0.5×	25 0.4×	41 0.8×	11 0.6×	14	126
Kees Bisschop Netherlands	7	23 0.3×	40 0.7×	122 2.2×	49 0.9×	11 0.6×	7	181
G. Bruni Italy	5	55 0.8×	22 0.4×	87 1.6×	94 1.8×	38 2.0×	13	233
Kenji Akie Japan	8	36 0.5×	134 2.3×	182 3.3×	100 1.9×	17 0.9×	9	250
Muhammad Adnan Khattak Australia	9	37 0.6×	21 0.4×	185 3.3×	77 1.5×	10 0.5×	33	264
Gyöngyvér Szentmártoni Hungary	6	78 1.2×	25 0.4×	74 1.3×	28 0.5×	28 1.5×	22	183
Juan Martínez Spain	7	63 1.0×	59 1.0×	108 1.9×	19 0.4×	23 1.2×	9	163
Sewanti Limaye India	7	67 1.0×	26 0.4×	83 1.5×	55 1.1×	17 0.9×	30	163

Countries citing papers authored by G Sakamoto

Since Specialization

Citations

This map shows the geographic impact of G Sakamoto'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 G Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Sakamoto more than expected).

Fields of papers citing papers by G Sakamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G Sakamoto. 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 G Sakamoto. The network helps show where G Sakamoto may publish in the future.

Co-authorship network of co-authors of G Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of G Sakamoto. A scholar is included among the top collaborators of G Sakamoto 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 G Sakamoto. G Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Bononi, Angela, Haining Yang, Carlotta Giorgi, et al.. (2017). Germline BAP1 mutations induce a Warburg effect. Cell Death and Differentiation. 24(10). 1694–1704. 84 indexed citations

2.

Sakamoto, G & Allan K. Izumi. (2005). Giant basal cell carcinoma: report of two cases and review of risk factors.. PubMed. 64(10). 274–6. 3 indexed citations

3.

Takahashi, Kohei, Takuo Hayashi, Masaaki Saito, et al.. (2000). [Day surgery for breast cancer].. PubMed. 58 Suppl. 545–50. 1 indexed citations

4.

Tsuda, Hitoshi, et al.. (1999). Monitoring of Interobserver Agreement in Nuclear Atypia Scoring of Node-negative Breast Carcinomas Judged at Individual Collaborating Hospitals in the National Surgical Adjuvant Study of Breast Cancer (NSAS-BC) Protocol. Japanese Journal of Clinical Oncology. 29(9). 413–420. 22 indexed citations

5.

Utada, Yoshihito, F Kasumi, Masataka Yoshimoto, et al.. (1999). The Location of Positive Nodes Partly Influences the Prognostic Value of the Number of Positive Nodes in Breast Cancer Patients. Japanese Journal of Clinical Oncology. 29(2). 63–67. 7 indexed citations

6.

Tsuda, Hitoshi, et al.. (1999). The Efficacy and Limitations of Repeated Slide Conferences for Improving Interobserver Agreement When Judging Nuclear Atypia of Breast Cancer. Japanese Journal of Clinical Oncology. 29(2). 68–73. 24 indexed citations

7.

Makita, Masujiro, et al.. (1990). [Study of breast cancers during pregnancy and lactation].. PubMed. 36(1). 39–44. 2 indexed citations

8.

Sakamoto, G, et al.. (1986). [The association of obesity with case distribution and prognosis of breast cancer].. PubMed. Suppl. 229–37. 1 indexed citations

9.

Sakamoto, G. (1985). [Histological classification of breast cancer].. PubMed. Suppl. 105–13. 3 indexed citations

10.

Nakamura, Tatsuo, et al.. (1983). [Visceral metastasis in 135 cases of breast cancer: evaluation at autopsy].. PubMed. 29(15). 1717–20. 2 indexed citations

11.

Sakamoto, G, et al.. (1970). [Primary adenocarcinoma of the esophagus arising from heterotopic gastric glands].. PubMed. 16(11). 1105–10. 13 indexed citations

12.

Shikata, J, M. Takahashi, M. Arai, et al.. (1969). Follow-up studies of gallstone surgery. Gastroenterologia Japonica. 4(4). 330–330.

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.

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