Sakiko Sanada

639 total citations
29 papers, 501 citations indexed

About

Sakiko Sanada is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Sakiko Sanada has authored 29 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Sakiko Sanada's work include Endometrial and Cervical Cancer Treatments (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Sakiko Sanada is often cited by papers focused on Endometrial and Cervical Cancer Treatments (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Sakiko Sanada collaborates with scholars based in Japan, United States and Sri Lanka. Sakiko Sanada's co-authors include Hirohisa Yano, Jun Akiba, Sachiko Ogasawara, Masamichi Nakayama, Rin Yamaguchi, Kosuke Ueda, Reiichiro Kondo, Yoshiki Naito, Osamu Nakashima and Hironori Kusano and has published in prestigious journals such as PLoS ONE, Acta Biomaterialia and The American Journal of Surgical Pathology.

In The Last Decade

Sakiko Sanada

27 papers receiving 493 citations

Peers

Sakiko Sanada
Comparison fields: 5 of 72
  • Oncology 201
  • Molecular Biology 162
  • Surgery 125
  • Cancer Research 103
  • Pulmonary and Respiratory Medicine 74
Replace Sheng Zheng with:
Sheng Zheng China
Yoko Murayama Japan
Hidetaka Hosono Japan
Chiyo Doi United States
Xiaoping He United States
Xu–Ting Zhi China
Malek Kreidieh Lebanon
Tsuyoshi Akiyoshi Japan
Michel Kraemer France
Sheng Zheng China View profile →
Citations per field, relative to Sakiko Sanada
Sakiko Sanada · 1×
Citations per year, relative to Sakiko Sanada
Sakiko Sanada · 1×

Countries citing papers authored by Sakiko Sanada

Since Specialization
Citations

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

Fields of papers citing papers by Sakiko Sanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakiko Sanada

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 5
4 1
5 1
6 3
7 6
8 4
9 8
10 20
11 0
12 21
13 45
14 15
15 17
16 78
17 112
18 20
19 18
20 23

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026