Kai Shu

429 citations
23 papers · 267 · h-index 10

Impact in

Papers in

    • Intracranial Aneurysms: Treatment and Complications 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Intracerebral and Subarachnoid Hemorrhage Research 2
    • Vascular Malformations Diagnosis and Treatment 2

Kai Shu

19 papers receiving 260 citations

Peers

Kai Shu
Comparison fields: 5 of 45
  • Neurology 63
  • Pathology and Forensic Medicine 60
  • Public Health, Environmental and Occupational Health 66
  • Parasitology 14
  • Genetics 21
Replace Jae-Hyun Lee with:
Jae-Hyun Lee South Korea
Colleen E. Wahl United States
Igor Vilela Faquini Brazil
Catherine J. Choi United States
Ahmed Elsais Norway
Jardel Mendonça Nicácio Brazil
E. Bovey Switzerland
Frederico Castelo Moura Brazil
Thea Thiele Germany
Orli Michaeli Israel
Kai Shu relative to Jae-Hyun Lee South Korea Jae-Hyun Lee's profile →
Citations per field
00.5×9.4×
Jae-Hyun Lee · 1×
Citations per year

Countries citing papers authored by Kai Shu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200775
2 201726
3 202026
4 202123
5 202119
6 201618
7 202117
8 200912
9 202510
10 20229
11 20237
12 20226
13 20244
14 20244
15 20243
16 20193
17 20072
18 20252
19 20251
20 20230

About Kai Shu

Kai Shu is a scholar working on Neurology, Molecular Biology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 23 papers that have together received 267 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Parasites and Host Interactions (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Trigeminal Neuralgia and Treatments (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (63 citations), Pathology and Forensic Medicine (60 citations), Public Health, Environmental and Occupational Health (66 citations), Parasitology (14 citations) and Genetics (21 citations). Kai Shu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ting Lei, Suojun Zhang, Rudong Chen, Changshu Ke, Feng Hu, Xingjiang Yu, Hongtao Zhu, Junwen Wang, Junwen Wang and Kai Zhao. Their work appears in journals such as Neurosurgery, Neuro-Oncology, Advanced Science, Frontiers in Neurology and Frontiers in Cell and Developmental Biology.

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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