Xin Qi

152 papers receiving 5.7k citations

Xin Qi's Hit Papers

Associations of semaglutide with first‐time diagnosis of Alzheimer's disease in patients with type 2 diabetes: Target trial emulation using nationwide real‐world data in the US 2024 · 81 citations
810+1Years since publication255075

Peers

Xin Qi
Comparison fields: 5 of 152
  • Clinical Biochemistry 579
  • Molecular Biology 3.4k
  • Neurology 557
  • Cell Biology 653
  • Neurology 291
Replace Simone Patergnani with:
Simone Patergnani Italy
Alessandro Rimessi Italy
Sonia Missiroli Italy
Saverio Marchi Italy
Massimo Bonora Italy
Jerzy Duszyński Poland
Quan Chen China
Muniswamy Madesh United States
Fabio Di Lisa Italy
Xin Qi relative to Simone Patergnani Italy Simone Patergnani's profile →
Citations per field
00.5×1.6×
Simone Patergnani · 1×
Citations per year

Countries citing papers authored by Xin Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xin Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012390
2 2013298
3 2013280
4 2004243
5 2010224
6 2013189
7 2016163
8 2020150
9 2016134
10 2015132
11 2014131
12 201496
13 200396
14 201583
15
Associations of semaglutide with first‐time diagnosis of Alzheimer's disease in patients with type 2 diabetes: Target trial emulation using nationwide real‐world data in the US
Hit paper breakdown →
202481
16 201581
17 200881
18 201580
19 200479
20 201978

About Xin Qi

Xin Qi is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Cell Biology and Physiology, having authored 165 papers that have together received 5.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (37 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Alzheimer's disease research and treatments (12 papers), Genetic Neurodegenerative Diseases (12 papers), ATP Synthase and ATPases Research (11 papers), Autophagy in Disease and Therapy (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Clinical Biochemistry (579 citations), Molecular Biology (3.4k citations), Neurology (557 citations), Cell Biology (653 citations) and Neurology (291 citations). Xin Qi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daria Mochly‐Rosen, Yu-Chin Su, Marie‐Hélène Disatnik, Xing Guo, Nir Qvit, Yu Luo, Rajesh Ramachandran, Di Hu, Yasunobu Okuma and Toru Hosoi. Their work appears in journals such as Nature Communications, International Journal of Molecular Sciences, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Theriogenology.

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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