Ling Qi
Impact in
- Cell Biology top 0.2%
- Endoplasmic Reticulum Stress and Disease
- Aging top 2%
Papers in
-
- Inflammasome and immune disorders 8
- Cell Biology 54
- Endoplasmic Reticulum Stress and Disease 53
- Co-authors
- Jiwon Hwang (1 shared paper)Sander Kersten (17 shared papers)Shengyi Sun (21 shared papers)Mingxia Jiang (7 shared papers)Yanjing Li (5 shared papers)Lisha Li (3 shared papers)Haibo Sha (12 shared papers)Alley E. Watada (2 shared papers)
- Journals
- Journal of Biological Chemistry (14 papers)Journal of Clinical Investigation (12 papers)Nature Communications (9 papers)Proceedings of the National Academy of Sciences (4 papers)The Journal of Immunology (4 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Ling Qi
161 papers receiving 9.6k citations
Ling Qi's Hit Papers
Peers
Comparison fields: 5 of 153
- Cell Biology 2.4k
- Aging 133
- Immunology 1.4k
- Epidemiology 2.0k
- Molecular Biology 4.3k
Countries citing papers authored by Ling Qi
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
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.
All Works
Showing the 20 most-cited of 171 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 → | 2005 | 817 |
| 2 | The caspase-3/GSDME signal pathway as a switch between apoptosis and pyroptosis in cancer Hit paper breakdown → | 2020 | 499 |
| 3 | Quality Control in the Endoplasmic Reticulum: Crosstalk between ERAD and UPR pathways Hit paper breakdown → | 2018 | 443 |
| 4 | 2004 | 318 | |
| 5 | 2006 | 263 | |
| 6 | 1999 | 240 | |
| 7 | 2012 | 236 | |
| 8 | 2009 | 228 | |
| 9 | 2010 | 221 | |
| 10 | 2017 | 189 | |
| 11 | 2015 | 179 | |
| 12 | 2012 | 174 | |
| 13 | 2014 | 166 | |
| 14 | 2017 | 165 | |
| 15 | 2020 | 161 | |
| 16 | 2009 | 157 | |
| 17 | 2021 | 155 | |
| 18 | 2020 | 142 | |
| 19 | 2011 | 137 | |
| 20 | 2021 | 135 |
About Ling Qi
Ling Qi is a scholar working on Molecular Biology, Cell Biology, Surgery, Epidemiology and Immunology, having authored 171 papers that have together received 9.7k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (53 papers), Pancreatic function and diabetes (37 papers), Autophagy in Disease and Therapy (25 papers), Adipose Tissue and Metabolism (18 papers), Immune Cell Function and Interaction (15 papers), Diabetes and associated disorders (8 papers), Inflammasome and immune disorders (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). The work is most often cited by research in Cell Biology (2.4k citations), Aging (133 citations), Immunology (1.4k citations), Epidemiology (2.0k citations) and Molecular Biology (4.3k 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, Haibo Sha, Alley E. Watada, Yewei Ji and Marc Montminy. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Nature Communications, Proceedings of the National Academy of Sciences and The Journal of Immunology.
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.