Rika Tsuchida

1.3k citations
16 papers · 906 · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Epigenetics and DNA Methylation 4
    • Angiogenesis and VEGF in Cancer 2
    • Cancer-related gene regulation 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cancer, Hypoxia, and Metabolism 8

Rika Tsuchida

16 papers receiving 896 citations

Peers

Rika Tsuchida
Comparison fields: 5 of 80
  • Cancer Research 297
  • Oncology 274
  • Molecular Biology 518
  • Genetics 53
  • Biotechnology 39
Replace Yee Sun Tan with:
Yee Sun Tan United States
Jun-Ying Zhou United States
Yun-Fei Xia China
Timothy McDonnell United States
Fabiana Conciatori Italy
Shuang Han China
Yuxi Zhu China
Mamunur Rashid United Kingdom
Sarah A. Best Australia
Carmela De Marco Italy
Rika Tsuchida relative to Yee Sun Tan United States Yee Sun Tan's profile →
Citations per field
00.5×1.5×
Yee Sun Tan · 1×
Citations per year

Countries citing papers authored by Rika Tsuchida

Since Specialization
Citations

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

Fields of papers citing papers by Rika Tsuchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008252
2 2005101
3 201190
4 200880
5 200573
6 201373
7 201163
8 201258
9 200439
10 200227
11 201124
12 200213
13 20237
14 20164
15 20131
16 20251

About Rika Tsuchida

Rika Tsuchida is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Neurology, having authored 16 papers that have together received 906 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related Molecular Pathways (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Neuroblastoma Research and Treatments (2 papers), Cancer-related gene regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Cancer Research (297 citations), Oncology (274 citations), Molecular Biology (518 citations), Genetics (53 citations) and Biotechnology (39 citations). Rika Tsuchida has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Bikul Das, Sylvain Baruchel, David Malkin, Herman Yeger, Gideon Koren, Masabumi Shibuya, Tsuyoshi Osawa, Masashi Muramatsu, M. Gee and Mai Yamauchi. Their work appears in journals such as Cancer Research, Stem Cells, Neoplasia, Journal of Biological Chemistry and Cancer Science.

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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