Haoling Qi

537 total citations
9 papers, 429 citations indexed

About

Haoling Qi is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Haoling Qi has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Haoling Qi's work include Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Haoling Qi is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Protein Structure and Dynamics (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Haoling Qi collaborates with scholars based in France, United States and Australia. Haoling Qi's co-authors include Guy Lippens, Isabelle Landrieu, François‐Xavier Cantrelle, Caroline Smet‐Nocca, Béatrice Chambraud, Isabelle Huvent, Clément Despres, Cillian Byrne, Etienne‐Emile Baulieu and Yves Jacquot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Haoling Qi

9 papers receiving 426 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haoling Qi France 8 279 263 86 68 61 9 429
Clément Despres France 8 236 0.8× 263 1.0× 57 0.7× 54 0.8× 45 0.7× 10 408
Orgeta Zejneli France 3 273 1.0× 231 0.9× 82 1.0× 69 1.0× 92 1.5× 4 486
Frederick J. Troendle United States 7 312 1.1× 220 0.8× 58 0.7× 66 1.0× 53 0.9× 9 540
Kellen Voss United States 8 266 1.0× 186 0.7× 63 0.7× 54 0.8× 41 0.7× 9 386
Sean R. Kundinger United States 6 284 1.0× 310 1.2× 59 0.7× 32 0.5× 67 1.1× 6 468
Dailu Chen United States 7 283 1.0× 248 0.9× 75 0.9× 42 0.6× 67 1.1× 10 389
Shruti Arya India 12 278 1.0× 349 1.3× 81 0.9× 33 0.5× 52 0.9× 19 541
T.C. Gamblin United States 7 249 0.9× 174 0.7× 74 0.9× 83 1.2× 39 0.6× 10 347
Barbara J. Blanchard United States 10 239 0.9× 243 0.9× 103 1.2× 74 1.1× 50 0.8× 12 435
Diana S. Himmelstein United States 6 266 1.0× 169 0.6× 89 1.0× 90 1.3× 59 1.0× 6 374

Countries citing papers authored by Haoling Qi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Haoling Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Haoling Qi. A scholar is included among the top collaborators of Haoling Qi 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 Haoling Qi. Haoling Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Despres, Clément, Cillian Byrne, Haoling Qi, et al.. (2017). Identification of the Tau phosphorylation pattern that drives its aggregation. Proceedings of the National Academy of Sciences. 114(34). 9080–9085. 181 indexed citations
2.
Qi, Haoling, Sudhakaran Prabakaran, François‐Xavier Cantrelle, et al.. (2016). Characterization of Neuronal Tau Protein as a Target of Extracellular Signal-regulated Kinase. Journal of Biological Chemistry. 291(14). 7742–7753. 56 indexed citations
3.
Danis, Clément, Clément Despres, Luiza M. Bessa, et al.. (2016). Nuclear Magnetic Resonance Spectroscopy for the Identification of Multiple Phosphorylations of Intrinsically Disordered Proteins. Journal of Visualized Experiments. 17 indexed citations
5.
Danis, Clément, Clément Despres, Luiza M. Bessa, et al.. (2016). Nuclear Magnetic Resonance Spectroscopy for the Identification of Multiple Phosphorylations of Intrinsically Disordered Proteins. Journal of Visualized Experiments. 5 indexed citations
6.
Byrne, Cillian, Morkos A. Henen, François‐Xavier Cantrelle, et al.. (2016). A β-Turn Motif in the Steroid Hormone Receptor’s Ligand-Binding Domains Interacts with the Peptidyl-prolyl Isomerase (PPIase) Catalytic Site of the Immunophilin FKBP52. Biochemistry. 55(38). 5366–5376. 10 indexed citations
7.
Lippens, Guy, Isabelle Landrieu, Caroline Smet‐Nocca, et al.. (2016). NMR Meets Tau: Insights into Its Function and Pathology. Biomolecules. 6(2). 28–28. 24 indexed citations
8.
Qi, Haoling, François‐Xavier Cantrelle, Houda Benhelli‐Mokrani, et al.. (2015). Nuclear Magnetic Resonance Spectroscopy Characterization of Interaction of Tau with DNA and Its Regulation by Phosphorylation. Biochemistry. 54(7). 1525–1533. 59 indexed citations
9.
Huvent, Isabelle, François‐Xavier Cantrelle, Haoling Qi, et al.. (2014). Nuclear Magnetic Resonance Analysis of the Acetylation Pattern of the Neuronal Tau Protein. Biochemistry. 53(18). 3020–3032. 62 indexed citations

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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