Kai Quan

910 citations
42 papers · 675 · h-index 13

Impact in

  • Neurology top 5%
    • Intracranial Aneurysms: Treatment and Complications
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Vascular Malformations Diagnosis and Treatment 11
    • Intracranial Aneurysms: Treatment and Complications 10
    • Traumatic Brain Injury and Neurovascular Disturbances 1
    • Head and Neck Surgical Oncology 2

Kai Quan

36 papers receiving 672 citations

Peers

Kai Quan
Comparison fields: 5 of 70
  • Neurology 183
  • Cancer Research 143
  • Pharmacology 60
  • Genetics 56
  • Molecular Biology 289
Replace Yuxue Sun with:
Yuxue Sun China
Lin Shen China
Ziad Khatib United States
Alicia Zukas United States
Lixia Xu China
Libin Yang China
Anna‐Maria Barciszewska Poland
Jin Wu China
Kai Quan relative to Yuxue Sun China Yuxue Sun's profile →
Citations per field
00.5×6.5×
Yuxue Sun · 1×
Citations per year

Countries citing papers authored by Kai Quan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 2015113
3 201981
4 202045
5 201944
6 201440
7 201829
8 202129
9 202119
10 201818
11 201818
12 201715
13
Icariside II induces cell cycle arrest and apoptosis in human glioblastoma cells through suppressing Akt activation and potentiating FOXO3a activity.
201713
14 202111
15 202010
16 20198
17 20248
18 20198
19 20177
20 20226

About Kai Quan

Kai Quan is a scholar working on Neurology, Surgery, Epidemiology, Genetics and Molecular Biology, having authored 42 papers that have together received 675 indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (11 papers), Intracranial Aneurysms: Treatment and Complications (10 papers), Glioma Diagnosis and Treatment (3 papers), Insect Utilization and Effects (2 papers), Head and Neck Surgical Oncology (2 papers), Meningioma and schwannoma management (2 papers), Cancer-related molecular mechanisms research (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Neurology (183 citations), Cancer Research (143 citations), Pharmacology (60 citations), Genetics (56 citations) and Molecular Biology (289 citations). Kai Quan has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Wei Zhu, Peixi Liu, Zixiao Yang, Peiliang Li, Sichen Li, Yingjun Liu, Yuan Shi, Jianping Song, Qingzhu An and Yaying Song. Their work appears in journals such as World Neurosurgery, Journal of neurosurgery, Stroke and Vascular Neurology, Clinical Neurology and Neurosurgery and Journal of Neuroinflammation.

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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