This map shows the geographic impact of Makiko Sakata'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 Makiko Sakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiko Sakata more than expected).
This network shows the impact of papers produced by Makiko Sakata. 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 Makiko Sakata. The network helps show where Makiko Sakata may publish in the future.
Co-authorship network of co-authors of Makiko Sakata
This figure shows the co-authorship network connecting the top 25 collaborators of Makiko Sakata.
A scholar is included among the top collaborators of Makiko Sakata 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 Makiko Sakata. Makiko Sakata is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sakata, Makiko, et al.. (2013). . Nihon Gekakei Rengo Gakkaishi (Journal of Japanese College of Surgeons). 38(1). 174–177.
6.
Sakata, Makiko, Kazuma Sakuraba, Kazuaki Yokomizo, et al.. (2011). Methylation of the homeobox gene, HOPX, is frequently detected in poorly differentiated colorectal cancer.. PubMed. 31(9). 2889–92.15 indexed citations
7.
Shirahata, Atsushi, Makiko Sakata, Yohei Kitamura, et al.. (2010). MACC 1 as a marker for peritoneal-disseminated gastric carcinoma.. PubMed. 30(9). 3441–4.55 indexed citations
8.
Hibi, Kenji, Makiko Sakata, Kazuma Sakuraba, et al.. (2010). Methylation of the DCC gene is lost in advanced gastric cancer.. PubMed. 30(1). 107–9.19 indexed citations
9.
Hibi, Kenji, Makiko Sakata, Kazuma Sakuraba, et al.. (2009). CD133 gene overexpression is frequently observed in early colorectal carcinoma.. PubMed. 56(93). 995–7.3 indexed citations
10.
Hibi, Kenji, Tetsuhiro Goto, Hiroki Mizukami, et al.. (2009). Demethylation of the CD133 gene is frequently detected in advanced colorectal cancer.. PubMed. 29(6). 2215–7.34 indexed citations
11.
Sakuraba, Kazuma, Takashi Yasuda, Makiko Sakata, et al.. (2009). Down-regulation of Tip60 gene as a potential marker for the malignancy of colorectal cancer.. PubMed. 29(10). 3953–5.42 indexed citations
12.
Kitamura, Yohei, Atsushi Shirahata, Makiko Sakata, et al.. (2009). Frequent methylation of Vimentin in well-differentiated gastric carcinoma.. PubMed. 29(6). 2227–9.19 indexed citations
13.
Hibi, Kenji, Makiko Sakata, Kazuaki Yokomizo, et al.. (2009). Methylation of the MGMT gene is frequently detected in advanced gastric carcinoma.. PubMed. 29(10). 4131–3.37 indexed citations
14.
Hibi, Kenji, Makiko Sakata, Kazuma Sakuraba, et al.. (2009). Changes in UNC5C gene methylation during human gastric carcinogenesis.. PubMed. 29(11). 4397–9.11 indexed citations
15.
Sakata, Makiko, Yohei Kitamura, Kazuma Sakuraba, et al.. (2009). Methylation of HACE1 in gastric carcinoma.. PubMed. 29(6). 2231–3.46 indexed citations
Shirahata, Atsushi, Makiko Sakata, Kazuma Sakuraba, et al.. (2009). Vimentin methylation as a marker for advanced colorectal carcinoma.. PubMed. 29(1). 279–81.57 indexed citations
18.
Shida, Tsutomu, et al.. (1996). [Rupture of the aneurysm of the sinus valsalva: thirteen years after the initial diagnosis].. PubMed. 49(6). 479–81.1 indexed citations
19.
Kitajima, Masaki, Makiko Sakata, Hideki Ishii, et al.. (1994). A case of gastrin secreting islet cell carcinoma with multiple liver metastasis and repeated gastric bleeding.. PubMed. 43(4). 214–22.1 indexed citations
20.
Sakata, Makiko, et al.. (1993). [Allergic granulomatosis and angiitis associated with intestinal perforation and eye movement disorder].. PubMed. 33(3). 255–9.2 indexed citations
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.