Qi Gan

3.1k citations
103 papers · 2.4k · h-index 25

Impact in

    • Nanoparticle-Based Drug Delivery
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Qi Gan

100 papers receiving 2.4k citations

Peers

Qi Gan
Comparison fields: 5 of 153
  • Biomaterials 463
  • Neurology 429
  • Endocrine and Autonomic Systems 181
  • Behavioral Neuroscience 77
  • Cellular and Molecular Neuroscience 316
Replace Yan He with:
Yan He China
Lucía Petrelli Italy
Yanan Zhao China
Haibin Wang China
Kui Xu United States
Lúcia Martini Italy
Yoshihisa Koyama Japan
Ki Ho Park South Korea
Hossein Ghanbari Iran
Shan Sun China
Qi Gan relative to Yan He China Yan He's profile →
Citations per field
00.5×3.7×
Yan He · 1×
Citations per year

Countries citing papers authored by Qi Gan

Since Specialization
Citations

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

Fields of papers citing papers by Qi Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007201
2 2010170
3 2015134
4 2011132
5 2014124
6 2010106
7 201693
8 202379
9 201174
10 202056
11 201555
12 202350
13 201249
14 200941
15 200540
16 202039
17 200638
18 201038
19 200738
20 201233

About Qi Gan

Qi Gan is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 103 papers that have together received 2.4k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (13 papers), Neuroscience of respiration and sleep (13 papers), Bone Tissue Engineering Materials (11 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Graphene and Nanomaterials Applications (8 papers), Sleep and Wakefulness Research (7 papers), Nanoparticle-Based Drug Delivery (6 papers) and Lysosomal Storage Disorders Research (6 papers). The work is most often cited by research in Biomaterials (463 citations), Neurology (429 citations), Endocrine and Autonomic Systems (181 citations), Behavioral Neuroscience (77 citations) and Cellular and Molecular Neuroscience (316 citations). Qi Gan has collaborated with scholars based in China, United States and Russia. Frequent co-authors include W. Michael Panneton, Changsheng Liu, Yuan Yuan, Jiangchao Qian, Mark M. Knuepfer, Jianlin Shi, Huanjun Zhou, Xun Lu, W. J. Burke and Changsheng Liu. Their work appears in journals such as PLoS ONE, Geofluids, Journal of Evidence-Based Medicine, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Materials Chemistry B.

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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