Eiko Shibata

692 total citations
16 papers, 564 citations indexed

About

Eiko Shibata is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Eiko Shibata has authored 16 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 3 papers in Surgery. Recurrent topics in Eiko Shibata's work include Lymphatic System and Diseases (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer Cells and Metastasis (3 papers). Eiko Shibata is often cited by papers focused on Lymphatic System and Diseases (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer Cells and Metastasis (3 papers). Eiko Shibata collaborates with scholars based in Japan and United States. Eiko Shibata's co-authors include Masaaki Shibata, Katsuhide Yoshidome, Minling Liu, Cheryl L. Jorcyk, Junji Morimoto, Yoshinori Otsuki, Alfonso Calvo, Miriam R. Anver, Christine Couldrey and Jon M. Wigginton and has published in prestigious journals such as The EMBO Journal, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Eiko Shibata

16 papers receiving 546 citations

Peers

Eiko Shibata
Comparison fields: 5 of 75
  • Molecular Biology 303
  • Oncology 244
  • Cancer Research 85
  • Genetics 74
  • Immunology 64
Replace Sakunthala Muthugounder with:
Sakunthala Muthugounder United States
Kaiqun Ren China
Hyun Ho Choi South Korea
Felicitas Mungenast Austria
Ji-Hak Jeong South Korea
Lieqi Liu Canada
In‐Chul Park South Korea
Su Jung Oh South Korea
Uma Chandran India
Sakunthala Muthugounder United States View profile →
Citations per field, relative to Eiko Shibata
Eiko Shibata · 1×
Citations per year, relative to Eiko Shibata
Eiko Shibata · 1×

Countries citing papers authored by Eiko Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Eiko Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiko Shibata

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 10
3 12
4 15
5 5
6 10
7
Therapy with siRNA for Vegf-c but not for Vegf-d suppresses wide-spectrum organ metastasis in an immunocompetent xenograft model of metastatic mammary cancer.
10
8 9
9 14
10 16
11
Panaxanthone isolated from pericarp of Garcinia mangostana L. suppresses tumor growth and metastasis of a mouse model of mammary cancer.
45
12
An immunocompetent murine model of metastatic mammary cancer accessible to bioluminescence imaging.
20
13 36
14 52
15 204
16 105

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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