Yuki Muranishi
- Molecular Biology top 10%
- Cell Biology top 2%
- Epidemiology top 5%
- Cancer Research top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Pierre FafournouxAnne‐Catherine MaurinLaurent ParryAlain BruhatCéline JousseWafa B'ChirGeorges StepienTakahisa Furukawa
- Topics
- Retinal Development and Disorders (8 papers)Reproductive Physiology in Livestock (6 papers)Reproductive Biology and Fertility (5 papers)
- Journals
- Nucleic Acids ResearchJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- JapanFranceUnited Kingdom
In The Last Decade
Yuki Muranishi
34 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.1k
- Cell Biology 642
- Epidemiology 580
- Cancer Research 256
- Cellular and Molecular Neuroscience 191
Countries citing papers authored by Yuki Muranishi
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
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 of co-authors of Yuki Muranishi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Muranishi. A scholar is included among the top collaborators of Yuki Muranishi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuki Muranishi. Yuki Muranishi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 40 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 39 | |
| 12 | 27 | |
| 13 | 95 | |
| 14 | The eIF2α/ATF4 pathway is essential for stress-induced autophagy gene expressionbreakdown → | 874 |
| 15 | 79 | |
| 16 | 96 | |
| 17 | 54 | |
| 18 | 233 | |
| 19 | 15 | |
| 20 | 4 |
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) and Reproductive Biology and Fertility (5 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.