Yuma Ishigami

1.0k citations
10 papers · 724 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • RNA Research and Splicing
    • Mitochondrial Function and Pathology
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 6
    • Epigenetics and DNA Methylation 2
    • Cancer-related gene regulation 1
    • Mitochondrial Function and Pathology 1
    • Neurogenetic and Muscular Disorders Research 2

Yuma Ishigami

9 papers receiving 722 citations

Peers

Yuma Ishigami
Comparison fields: 5 of 52
  • Cancer Research 219
  • Molecular Biology 670
  • Clinical Biochemistry 20
  • Energy Engineering and Power Technology 9
  • Oncology 42
Replace Kana Asano with:
Kana Asano Japan
Sara Haag Germany
Ling-Yun Qin China
Charlotte Blessing Germany
Jiekai Yin United States
Peter Watzinger Germany
Rodrigo Villaseñor Switzerland
Marc Bayer Germany
Eliana Destefanis Italy
Yasu Jiang China
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Citations per field
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Kana Asano · 1×
Citations per year

Countries citing papers authored by Yuma Ishigami

Since Specialization
Citations

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

Fields of papers citing papers by Yuma Ishigami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2017282
2 2020189
3 2016104
4 202343
5 202142
6 202139
7 202421
8 20203
9 20231
10 20250

About Yuma Ishigami

Yuma Ishigami is a scholar working on Molecular Biology, Genetics, Cell Biology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 724 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers), Epigenetics and DNA Methylation (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Cancer-related gene regulation (1 paper), Mitochondrial Function and Pathology (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cancer Research (219 citations), Molecular Biology (670 citations), Clinical Biochemistry (20 citations), Energy Engineering and Power Technology (9 citations) and Oncology (42 citations). Yuma Ishigami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsutomu Suzuki, Mitsuyo Matsumoto, Masayuki Ebina, Akihiko Muto, Kyoko Ochiai, Yuho Sato, Hiroki Shima, Kazuhiko Igarashi, Yuka Yashiro and Takeo Suzuki. Their work appears in journals such as Nature Communications, Molecular Cell, Cell Reports, Cancer Discovery and PLoS Biology.

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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