Yuki Muranishi

2.4k citations
35 papers · 1.9k indexed · 1 hit paper · h-index 16

Yuki Muranishi

34 papers receiving 1.8k citations

Hit Papers

The eIF2α/ATF4 pathway is essential for stress-induced au...8742013202620172021250500750

Peers

Yuki Muranishi
Comparison fields: 5 of 106
  • Cell Biology 642
  • Cancer Research 256
  • Epidemiology 580
  • Physiology 73
  • Molecular Biology 1.1k
Replace Guang‐Chao Chen with:
Guang‐Chao Chen Taiwan
Héctor Sandoval United States
Usha Narayanan United States
Alexandre Blais Canada
Radek Dobrowolski United States
Stephen G. Dann United States
Francesca Nazio Italy
Hagar Kalinski Israel
Xiaoju Max United States
Xiaodong Shu China
Yuki Muranishi relative to Guang‐Chao Chen Taiwan Guang‐Chao Chen's profile →
Citations per field
00.5×1.5×2.0×
Guang‐Chao Chen · 1×
Citations per year

Countries citing papers authored by Yuki Muranishi

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Muranishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 20236
4 20227
5 20211
6 202040
7 20179
8 201615
9 201614
10 201419
11 201439
12 201427
13 201495
14
The eIF2α/ATF4 pathway is essential for stress-induced autophagy gene expressionbreakdown →
2013874
15 201279
16 201196
17 201154
18 2011233
19 201015
20 20044

About Yuki Muranishi

Yuki Muranishi is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Sensory Systems, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Retinal Development and Disorders (8 papers), Reproductive Physiology in Livestock (6 papers), Reproductive Biology and Fertility (5 papers), Neurobiology and Insect Physiology Research (3 papers), Reproductive System and Pregnancy (3 papers), Photochromic and Fluorescence Chemistry (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cell Biology (642 citations), Cancer Research (256 citations) and Epidemiology (580 citations). Yuki Muranishi has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Pierre Fafournoux, Anne‐Catherine Maurin, Laurent Parry, Alain Bruhat, Céline Jousse, Wafa B'Chir, Georges Stepien, Takahisa Furukawa, Koji Terada and Rikako Sanuki. Their work appears in journals such as Nucleic Acids Research, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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