Li Yu
- Epidemiology top 0.2%
- Molecular Biology top 1%
- Cell Biology top 0.5%
- Physiology top 0.1%
- Cancer Research top 2%
- Co-authors
- Chen YangSharon A. ToozeMichael J. LenardoEric H. BaehreckeEric C. FreundtSarah J. WelshFengyi WanYing Zhao
- Topics
- Autophagy in Disease and Therapy (38 papers)Calcium signaling and nucleotide metabolism (13 papers)Endoplasmic Reticulum Stress and Disease (10 papers)
- Cited by
- PhysiologyAgingEpidemiology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Yu
50 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Epidemiology 5.1k
- Molecular Biology 4.5k
- Cell Biology 1.8k
- Physiology 1.1k
- Cancer Research 929
Countries citing papers authored by Li Yu
This map shows the geographic impact of Li Yu'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 Li Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Yu more than expected).
Fields of papers citing papers by Li Yu
This network shows the impact of papers produced by Li Yu. 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 Li Yu. The network helps show where Li Yu may publish in the future.
Co-authorship network of co-authors of Li Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Li Yu. A scholar is included among the top collaborators of Li Yu 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 Li Yu. Li Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 0 | |
| 4 | The LC3-conjugation machinery specifies the loading of RNA-binding proteins into extracellular vesiclesbreakdown → | 349 |
| 5 | 118 | |
| 6 | 5 | |
| 7 | Polyubiquitin chain-induced p62 phase separation drives autophagic cargo segregationbreakdown → | 367 |
| 8 | 92 | |
| 9 | Discovery of the migrasome, an organelle mediating release of cytoplasmic contents during cell migrationbreakdown → | 453 |
| 10 | 64 | |
| 11 | 114 | |
| 12 | 21 | |
| 13 | 235 | |
| 14 | 210 | |
| 15 | 177 | |
| 16 | Termination of autophagy and reformation of lysosomes regulated by mTORbreakdown → | 1209 |
| 17 | 45 | |
| 18 | 120 | |
| 19 | Autophagic programmed cell death by selective catalase degradationbreakdown → | 561 |
| 20 | Regulation of an ATG7 - beclin 1 Program of Autophagic Cell Death by Caspase-8breakdown → | 1023 |
About Li Yu
Li Yu is a scholar working on Physiology, Aging and Epidemiology, having authored 52 papers that have together received 8.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (38 papers), Calcium signaling and nucleotide metabolism (13 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). The work is most often cited by research in Physiology (1.1k citations), Aging (261 citations) and Epidemiology (5.1k citations). Li Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chen Yang, Sharon A. Tooze, Michael J. Lenardo, Eric H. Baehrecke, Eric C. Freundt, Sarah J. Welsh, Fengyi Wan, Ying Zhao, Helen C. Su and Ajjai Alva. Their work appears in journals such as Nature, Science and Cell.
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.