Keika Zen

647 citations
17 papers · 504 · h-index 11

Impact in

    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation

Papers in

    • Chromatin Remodeling and Cancer 2
    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Genomic variations and chromosomal abnormalities 4

Keika Zen

17 papers receiving 496 citations

Peers

Keika Zen
Comparison fields: 5 of 53
  • Cancer Research 76
  • Molecular Biology 341
  • Oncology 94
  • Cell Biology 61
  • Genetics 77
Replace Kate H. Brettingham‐Moore with:
Kate H. Brettingham‐Moore Australia
I‐Ying Kuo Taiwan
Dragana Kopanja United States
Nina Goerner United States
Buyou Chen China
Wilson W. Marhin Canada
Amanda J. Russell Australia
De-Chang Wu China
Vignesh Sundararajan Singapore
Ying-Hui Zhu China
Keika Zen relative to Kate H. Brettingham‐Moore Australia Kate H. Brettingham‐Moore's profile →
Citations per field
00.5×1.5×
Kate H. Brettingham‐Moore · 1×
Citations per year

Countries citing papers authored by Keika Zen

Since Specialization
Citations

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

Fields of papers citing papers by Keika Zen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keika Zen, 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 Keika Zen Line = papers co-authored together Keika Zen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200980
2 201071
3 198964
4 200851
5 200851
6 200740
7 201240
8 200839
9 201021
10 202119
11 202011
12
Infrequent amplification of JUN in hepatocellular carcinoma.
20099
13 20223
14 20082
15 20231
16 20191
17 20191

About Keika Zen

Keika Zen is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 17 papers that have together received 504 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Gastric Cancer Management and Outcomes (3 papers), Chromatin Remodeling and Cancer (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (76 citations), Molecular Biology (341 citations), Oncology (94 citations), Cell Biology (61 citations) and Genetics (77 citations). Keika Zen has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include David H. Bechhofer, Masafumi Taniwaki, Yoshito Itoh, Takeshi Okanoue, Kohichiroh Yasui, Yasuyuki Gen, Shigeki Arii, Osamu Dohi, Yasuni Nakanuma and Yoh Zen. Their work appears in journals such as Digestion, Hepatology Research, Cancer Letters, European Heart Journal - Cardiovascular Imaging and Surgical Endoscopy.

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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