Ling Qi

170 papers receiving 10.6k citations

Ling Qi's Hit Papers

Endoplasmic reticulum (ER) protein degradation by ER-associated degradation and ER-phagy 2025 · 28 citations
280+7+14Years since publication250500750

Peers

Ling Qi
Comparison fields: 5 of 159
  • Cell Biology 2.8k
  • Aging 152
  • Immunology 1.6k
  • Epidemiology 2.2k
  • Molecular Biology 4.7k
Replace Jean‐François Beaulieu with:
Jean‐François Beaulieu Canada
Yuguang Shi United States
Ling Yang China
Alan C. Cheng United States
Philippe Gual France
Stéphane Rocchi France
Hervé Le Stunff France
Lufen Chang United States
Daping Fan United States
Luca Maria Neri Italy
Ling Qi relative to Jean‐François Beaulieu Canada Jean‐François Beaulieu's profile →
Citations per field
00.5×2×4×5.6×
Jean‐François Beaulieu · 1×
Citations per year

Countries citing papers authored by Ling Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ling Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The CREB coactivator TORC2 is a key regulator of fasting glucose metabolism
Hit paper breakdown →
2005861
2
The caspase-3/GSDME signal pathway as a switch between apoptosis and pyroptosis in cancer
Hit paper breakdown →
2020532
3
Quality Control in the Endoplasmic Reticulum: Crosstalk between ERAD and UPR pathways
Hit paper breakdown →
2018471
4 2004333
5 1999269
6 2006267
7 2012250
8 2010239
9 2009233
10 2015205
11 2017196
12 2015186
13 2012183
14 2020172
15 2017172
16 2014169
17 2021162
18 2009159
19 2020158
20 2011145

About Ling Qi

Ling Qi is a scholar working on Cell Biology, Immunology, Epidemiology, Physiology and Surgery, having authored 179 papers that have together received 10.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (58 papers), Pancreatic function and diabetes (37 papers), Autophagy in Disease and Therapy (27 papers), Adipose Tissue and Metabolism (19 papers), Immune Cell Function and Interaction (16 papers), Inflammasome and immune disorders (9 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Cell Biology (2.8k citations), Aging (152 citations), Immunology (1.6k citations), Epidemiology (2.2k citations) and Molecular Biology (4.7k citations). Ling Qi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jiwon Hwang, Sander Kersten, Shengyi Sun, Mingxia Jiang, Yanjing Li, Lisha Li, Alley E. Watada, Haibo Sha, Yewei Ji and Marc Montminy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Nature Communications, Nature Cell Biology and Proceedings of the National Academy of Sciences.

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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