Kazutoshi Mori

28.2k citations
151 papers · 23.3k · 11 hit papers · h-index 64

Impact in

  • Cell Biology top 0.01%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
  • Aging top 0.2%

Papers in

    • Endoplasmic Reticulum Stress and Disease 118
    • Cellular transport and secretion 12
    • RNA regulation and disease 38
    • Heat shock proteins research 18
    • Fungal and yeast genetics research 16

Kazutoshi Mori

149 papers receiving 23.0k citations

Kazutoshi Mori's Hit Papers

Transcriptional Induction of Mammalian ER Quality Control Proteins Is Mediated by Single or Combined Action of ATF6α and XBP1 2007 · 858 citations
8580+9+18Years since publication10002.0k3.0k

Peers

Kazutoshi Mori
Comparison fields: 5 of 129
  • Cell Biology 17.7k
  • Aging 679
  • Epidemiology 8.4k
  • Molecular Biology 12.3k
  • Biotechnology 1.3k
Replace Hiderou Yoshida with:
Hiderou Yoshida Japan
Claudio Hetz Chile
Yuhong Zhang China
Linda M. Hendershot United States
Fumihiko Urano United States
Ronald C. Wek United States
Heather P. Harding United States
Ann–Hwee Lee United States
Isabel Novoa Spain
Seiichi Oyadomari Japan
Kazutoshi Mori relative to Hiderou Yoshida Japan Hiderou Yoshida's profile →
Citations per field
00.5×1.7×
Hiderou Yoshida · 1×
Citations per year

Countries citing papers authored by Kazutoshi Mori

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
XBP1 mRNA Is Induced by ATF6 and Spliced by IRE1 in Response to ER Stress to Produce a Highly Active Transcription Factor
Hit paper breakdown →
20013231
2
Mammalian Transcription Factor ATF6 Is Synthesized as a Transmembrane Protein and Activated by Proteolysis in Response to Endoplasmic Reticulum Stress
Hit paper breakdown →
19991650
3
Identification of the cis-Acting Endoplasmic Reticulum Stress Response Element Responsible for Transcriptional Induction of Mammalian Glucose-regulated Proteins
Hit paper breakdown →
19981032
4
Transcriptional Induction of Mammalian ER Quality Control Proteins Is Mediated by Single or Combined Action of ATF6α and XBP1
Hit paper breakdown →
2007858
5
IRE1-mediated unconventional mRNA splicing and S2P-mediated ATF6 cleavage merge to regulate XBP1 in signaling the unfolded protein response
Hit paper breakdown →
2002852
6
Tripartite Management of Unfolded Proteins in the Endoplasmic Reticulum
Hit paper breakdown →
2000800
7
ATF6 Activated by Proteolysis Binds in the Presence of NF-Y (CBF) Directly to thecis-Acting Element Responsible for the Mammalian Unfolded Protein Response
Hit paper breakdown →
2000792
8
Adaptation to ER Stress Is Mediated by Differential Stabilities of Pro-Survival and Pro-Apoptotic mRNAs and Proteins
Hit paper breakdown →
2006672
9
Complementary Signaling Pathways Regulate the Unfolded Protein Response and Are Required for C. elegans Development
Hit paper breakdown →
2001590
10
A Time-Dependent Phase Shift in the Mammalian Unfolded Protein Response
Hit paper breakdown →
2003562
11
XBP1
Hit paper breakdown →
2004534
12 2004446
13 2002431
14 2003414
15 2008376
16 2005351
17 2006320
18 1992318
19 2009315
20 1996310

About Kazutoshi Mori

Kazutoshi Mori is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Immunology and Surgery, having authored 151 papers that have together received 23.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (118 papers), RNA regulation and disease (38 papers), Autophagy in Disease and Therapy (36 papers), Heat shock proteins research (18 papers), Fungal and yeast genetics research (16 papers), Transgenic Plants and Applications (15 papers), Pancreatic function and diabetes (13 papers) and Cellular transport and secretion (12 papers). The work is most often cited by research in Cell Biology (17.7k citations), Aging (679 citations), Epidemiology (8.4k citations), Molecular Biology (12.3k citations) and Biotechnology (1.3k citations). Kazutoshi Mori has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiderou Yoshida, Tetsuya Okada, Takashi Yura, Hideki Yanagi, Kyosuke Haze, Akira Yamamoto, Masahiko Negishi, Randal J. Kaufman, Keisuke Yamamoto and Akihiro Harada. Their work appears in journals such as Journal of Biological Chemistry, Cell Structure and Function, Molecular and Cellular Biology, Molecular Biology of the Cell and eLife.

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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