Nobuko Mori

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

Impact in

Papers in

    • RNA Research and Splicing 8
    • DNA Repair Mechanisms 7
    • Peroxisome Proliferator-Activated Receptors 6
    • Cell death mechanisms and regulation 6
    • Cancer-related Molecular Pathways 9

Nobuko Mori

86 papers receiving 1.3k citations

Peers

Nobuko Mori
Comparison fields: 5 of 96
  • Equine 38
  • Small Animals 119
  • Cancer Research 170
  • Aging 21
  • Health, Toxicology and Mutagenesis 144
Replace Carlos Telleria with:
Carlos Telleria United States
Dinesh Stanislaus United States
Nafis A. Rahman Finland
Kim I. Tilly United States
K.M.J. Menon United States
Robert Augustin Germany
Shizue Ohsawa Japan
Mesut Muyan United States
Tomoko Kaneko-Tarui Japan
F. Martin Ireland
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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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007130
2 201160
3 199858
4 200557
5 200156
6 200044
7 200642
8 201035
9 201032
10 199232
11 199532
12 199531
13 201129
14 200429
15 201628
16 201227
17 199427
18 201125
19 201425
20 201624

About Nobuko Mori

Nobuko Mori is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Epidemiology, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Veterinary Medicine and Surgery (10 papers), Cancer-related Molecular Pathways (9 papers), RNA Research and Splicing (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), DNA Repair Mechanisms (7 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 (119 citations), Cancer Research (170 citations), Aging (21 citations) and Health, Toxicology and Mutagenesis (144 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 Biochemical and Biophysical Research Communications.

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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