Keiko Shinjo

3.2k total citations · 1 hit paper
55 papers, 2.2k citations indexed

About

Keiko Shinjo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Keiko Shinjo has authored 55 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Keiko Shinjo's work include Epigenetics and DNA Methylation (22 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (11 papers). Keiko Shinjo is often cited by papers focused on Epigenetics and DNA Methylation (22 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (11 papers). Keiko Shinjo collaborates with scholars based in Japan, United States and China. Keiko Shinjo's co-authors include Yutaka Kondo, Keisuke Katsushima, Fumiharu Ohka, Atsushi Natsume, Richard A. Cerione, Matthew J. Hart, Yoshitaka Sekido, Akira Hatanaka, Satoru Takahashi and Shinya Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Keiko Shinjo

50 papers receiving 2.2k citations

Hit Papers

Fusobacterium infection facilitates the development of en... 2023 2026 2024 2025 2023 25 50 75

Peers

Keiko Shinjo
Comparison fields: 5 of 95
  • Molecular Biology 1.6k
  • Cancer Research 883
  • Oncology 266
  • Pulmonary and Respiratory Medicine 250
  • Cell Biology 199
Replace Christian Guelly with:
Christian Guelly Austria
Thomas Bertero France
Anna Sebestyén Hungary
Guo-fu Hu United States
Roberta Melchionna Italy
Kosuke Akiyama Japan
Qingwei Zhu China
Leni S. Jacob United States
Genta Nagae Japan
Karim Malik United Kingdom
Christian Guelly Austria View profile →
Citations per field, relative to Keiko Shinjo
Keiko Shinjo · 1×
Citations per year, relative to Keiko Shinjo
Keiko Shinjo · 1×

Countries citing papers authored by Keiko Shinjo

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Shinjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Shinjo

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Shinjo. A scholar is included among the top collaborators of Keiko Shinjo 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 Keiko Shinjo. Keiko Shinjo 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 0
3 5
4 1
5 6
6 17
7 10
8
Fusobacterium infection facilitates the development of endometriosis through the phenotypic transition of endometrial fibroblasts breakdown →
97
9 4
10 6
11 4
12 5
13 30
14 45
15 261
16 40
17 48
18 79
19 165
20 1

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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