Nobuko Mori

1.8k citations
88 papers · 1.4k · h-index 23

Impact in

Papers in

    • DNA Repair Mechanisms 8
    • RNA Research and Splicing 8
    • Peroxisome Proliferator-Activated Receptors 6
    • Cell death mechanisms and regulation 6
    • Cancer-related Molecular Pathways 10

Nobuko Mori

86 papers receiving 1.4k citations

Peers

Nobuko Mori
Comparison fields: 5 of 96
  • Equine 38
  • Small Animals 121
  • Cancer Research 176
  • Aging 21
  • Health, Toxicology and Mutagenesis 151
Replace Carlos Telleria with:
Carlos Telleria United States
Dinesh Stanislaus United States
Kim I. Tilly United States
Nafis A. Rahman Finland
K.M.J. Menon United States
Mesut Muyan United States
Shizue Ohsawa Japan
Hirotaka Matsumoto Japan
Robert Augustin Germany
Tomoko Kaneko-Tarui Japan
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Citations per field
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Citations per year

Countries citing papers authored by Nobuko Mori

Since Specialization
Citations

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

Fields of papers citing papers by Nobuko Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007135
2 201163
3 199859
4 200158
5 200558
6 200046
7 200643
8 201035
9 199535
10 199234
11 201032
12 199532
13 201129
14 200429
15 199429
16 201628
17 201228
18 201127
19 201425
20 201624

About Nobuko Mori

Nobuko Mori is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Epidemiology, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Cancer-related Molecular Pathways (10 papers), Veterinary Medicine and Surgery (10 papers), DNA Repair Mechanisms (8 papers), RNA Research and Splicing (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Equine (38 citations), Small Animals (121 citations), Cancer Research (176 citations), Aging (21 citations) and Health, Toxicology and Mutagenesis (151 citations). Nobuko Mori has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Masaaki Okumoto, Akira Yasutake, Toshiro Arai, K. Hirayama, Kimiko Hirayama, Ichiro YAMAMOTO, Jyoji Yamate, Yasuhiko Takamori, Shinji Miura and Akihito Morita. Their work appears in journals such as Journal of Radiation Research, Asian Journal of Animal and Veterinary Advances, Research in Veterinary Science, BMC Veterinary Research and Oncogene.

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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