Qi Gan

3.2k citations
103 papers · 2.5k · h-index 26

Impact in

    • Nanoparticle-Based Drug Delivery
  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Qi Gan

101 papers receiving 2.4k citations

Peers

Qi Gan
Comparison fields: 5 of 145
  • Biomaterials 440
  • Neurology 410
  • Endocrine and Autonomic Systems 176
  • Behavioral Neuroscience 75
  • Cellular and Molecular Neuroscience 298
Replace Yan He with:
Yan He China
Haibin Wang China
Mohammad Taghi Joghataei Iran
Lucía Petrelli Italy
Lúcia Martini Italy
Kui Xu United States
Yanan Zhao China
Masaki Noda Japan
Andrew N. Clarkson New Zealand
Chang Cao China
Qi Gan relative to Yan He China Yan He's profile →
Citations per field
00.5×
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 2007203
2 2010171
3 2015137
4 2011131
5 2014125
6 2010107
7 201694
8 202382
9 201174
10 202059
11 202356
12 201555
13 201249
14 202042
15 200941
16 200540
17 201039
18 200638
19 200738
20 201233

About Qi Gan

Qi Gan is a scholar working on Biomedical Engineering, Physiology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (13 papers), Heart Rate Variability and Autonomic Control (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), Lysosomal Storage Disorders Research (7 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Biomaterials (440 citations), Neurology (410 citations), Endocrine and Autonomic Systems (176 citations), Behavioral Neuroscience (75 citations) and Cellular and Molecular Neuroscience (298 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, Xun Lu, Huanjun Zhou, W. J. Burke and Changsheng Liu. Their work appears in journals such as PLoS ONE, Geofluids, Journal of Evidence-Based Medicine, Journal of Materials Chemistry B and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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