Shu Soeda

1.0k citations
68 papers · 746 · h-index 14

Impact in

Papers in

Shu Soeda

63 papers receiving 733 citations

Peers

Shu Soeda
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 149
  • Reproductive Medicine 129
  • Neurology 64
  • Oncology 173
  • Cancer Research 88
Replace Diana P. English with:
Diana P. English United States
Katsumi Kozasa Japan
Nicole Schmidt Germany
Sławomir Ławicki Poland
Thomas T. Tapmeier United Kingdom
Ilze Štrumfa Latvia
Lukas Marcelis Belgium
Thaïs Baert Belgium
M Mascarenhas United Kingdom
Shu Soeda relative to Diana P. English United States Diana P. English's profile →
Citations per field
00.5×
Diana P. English · 1×
Citations per year

Countries citing papers authored by Shu Soeda

Since Specialization
Citations

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

Fields of papers citing papers by Shu Soeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shu Soeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shu Soeda Line = papers co-authored together Shu Soeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200865
2 199763
3
MCP-1 promotes invasion and adhesion of human ovarian cancer cells.
201348
4 201845
5 200239
6 201234
7 202034
8 202134
9 202127
10 201326
11 201419
12 201915
13 202014
14 202214
15 202113
16 202112
17 201312
18 200012
19 201111
20 201810

About Shu Soeda

Shu Soeda is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Oncology, Molecular Biology and Surgery, having authored 68 papers that have together received 746 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (14 papers), Uterine Myomas and Treatments (10 papers), Endometrial and Cervical Cancer Treatments (9 papers), Barrier Structure and Function Studies (5 papers), Cervical Cancer and HPV Research (4 papers), Gynecological conditions and treatments (4 papers), Cancer-related molecular mechanisms research (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Obstetrics and Gynecology (149 citations), Reproductive Medicine (129 citations), Neurology (64 citations), Oncology (173 citations) and Cancer Research (88 citations). Shu Soeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Keiya Fujimori, Takafumi Watanabe, Shigenori Furukawa, Hiroshi Nishiyama, Hidekazu Yamada, Manabu Kojima, Akira Sato, Yutaka Morimura, Toshihiro Hashimoto and Kazuo Takahashi. Their work appears in journals such as Journal of Ovarian Research, Anticancer Research, BMC Pregnancy and Childbirth, Gynecologic Oncology and International Journal of Molecular Sciences.

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