Tomoko Maruyama

2.8k citations
45 papers · 2.3k · h-index 22

Impact in

Papers in

    • RNA modifications and cancer 7
    • Genomics and Chromatin Dynamics 6
    • Epigenetics and DNA Methylation 6
    • Renal and related cancers 5
    • Erythrocyte Function and Pathophysiology 15

Tomoko Maruyama

45 papers receiving 2.2k citations

Peers

Tomoko Maruyama
Comparison fields: 5 of 107
  • Environmental Chemistry 357
  • Oceanography 255
  • Molecular Biology 1.3k
  • Cell Biology 303
  • Physiology 410
Replace Yibu Chen with:
Yibu Chen United States
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James E. Cleaver United States
Michael P. Sarras United States
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Tomoko Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001373
2 2001210
3 2006178
4
Direct association of TSLC1 and DAL-1, two distinct tumor suppressor proteins in lung cancer.
2002153
5 2002145
6 200394
7 200387
8 200286
9 200684
10 199877
11 200370
12 200167
13 200667
14 200566
15 200563
16 201057
17 200544
18 201434
19 200231
20 200530

About Tomoko Maruyama

Tomoko Maruyama is a scholar working on Molecular Biology, Physiology, Ecology, Surgery and Oceanography, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (15 papers), Microbial Community Ecology and Physiology (8 papers), RNA modifications and cancer (7 papers), Pancreatic function and diabetes (6 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (6 papers), Marine and coastal ecosystems (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Environmental Chemistry (357 citations), Oceanography (255 citations), Molecular Biology (1.3k citations), Cell Biology (303 citations) and Physiology (410 citations). Tomoko Maruyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshinori Murakami, Hiroshi Fukuhara, Masami Kuramochi, Takeshi Fukami, Mika Sakurai‐Yageta, Mari Masuda, Tadaichi Kitamura, Kenji Kato, Takahiro Nobukuni and Akira Hiraishi. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Microbes and Environments, International Journal of Cancer and Gene.

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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