Haoling Qi
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Protein Structure and Dynamics 3
- Metabolomics and Mass Spectrometry Studies 2
- Ubiquitin and proteasome pathways 1
- Histone Deacetylase Inhibitors Research 1
- Mitochondrial Function and Pathology 1
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- Alzheimer's disease research and treatments 7
- Co-authors
- Isabelle Landrieu (9 shared papers)Guy Lippens (9 shared papers)François‐Xavier Cantrelle (8 shared papers)Caroline Smet‐Nocca (7 shared papers)Isabelle Huvent (5 shared papers)Béatrice Chambraud (4 shared papers)Clément Despres (5 shared papers)Étienne-Émile Baulieu (2 shared papers)
- Journals
- Biochemistry (3 papers)Journal of Visualized Experiments (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Biomolecules (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Haoling Qi
9 papers receiving 438 citations
Peers
Comparison fields: 5 of 57
- Physiology 276
- Neurology 56
- Cellular and Molecular Neuroscience 80
- Pharmacology 67
- Molecular Biology 258
Countries citing papers authored by Haoling Qi
This map shows the geographic impact of Haoling 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 Haoling Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoling Qi more than expected).
Fields of papers citing papers by Haoling Qi
This network shows the impact of papers produced by Haoling 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 Haoling Qi. The network helps show where Haoling Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Haoling 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 189 | |
| 2 | 2014 | 64 | |
| 3 | 2015 | 61 | |
| 4 | 2016 | 56 | |
| 5 | 2016 | 24 | |
| 6 | 2016 | 17 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 10 | |
| 9 | 2016 | 5 |
About Haoling Qi
Haoling Qi is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pharmacology and Oncology, having authored 9 papers that have together received 441 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Ubiquitin and proteasome pathways (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Physiology (276 citations), Neurology (56 citations), Cellular and Molecular Neuroscience (80 citations), Pharmacology (67 citations) and Molecular Biology (258 citations). Haoling Qi has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Isabelle Landrieu, Guy Lippens, François‐Xavier Cantrelle, Caroline Smet‐Nocca, Isabelle Huvent, Béatrice Chambraud, Clément Despres, Étienne-Émile Baulieu, Yves Jacquot and Cillian Byrne. Their work appears in journals such as Biochemistry, Journal of Visualized Experiments, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biomolecules.
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.