Huijuan Jin

13.4k citations
64 papers · 8.7k indexed · 3 hit papers · h-index 32
Topics
Acute Ischemic Stroke Management (13 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Axon Guidance and Neuronal Signaling (7 papers)

In The Last Decade

Huijuan Jin

62 papers receiving 8.4k citations

Hit Papers

Neurologic Manifestations of Hospitalized Patients With C...201920262021202320202020201910002.0k3.0k4.0k

Peers

Huijuan Jin
Comparison fields: 5 of 139
  • Neurology 5.0k
  • Infectious Diseases 3.5k
  • Molecular Biology 1.6k
  • Neurology 1.3k
  • Clinical Psychology 1.1k
Replace Ling Mao with:
Ling Mao China
Quanwei He China
Bo Hu China
Shengcai Chen China
Jiang Chang China
Yifan Zhou China
Mengdie Wang China
Chuan Qin China
Dai‐Shi Tian China
Sonia Villapol United States
Huijuan Jin relative to Ling Mao China Ling Mao's profile →
Citations per field
00.5×1.5×
Ling Mao · 1×
Citations per year

Countries citing papers authored by Huijuan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Huijuan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijuan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Huijuan Jin. A scholar is included among the top collaborators of Huijuan Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huijuan Jin. Huijuan Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 42
5 17
6 56
7 38
8 17
9
Microglia-derived TNF-α mediates endothelial necroptosis aggravating blood brain–barrier disruption after ischemic strokebreakdown →
376
10 67
11 50
12 144
13 77
14 44
15 12
16 143
17 27
18 15
19 31
20 16

About Huijuan Jin

Huijuan Jin is a scholar working on Neurology, Developmental Neuroscience and Cancer Research, having authored 64 papers that have together received 8.7k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Axon Guidance and Neuronal Signaling (7 papers). The work is most often cited by research in Neurology (5.0k citations), Infectious Diseases (3.5k citations) and Neurology (1.3k citations). Huijuan Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bo Hu, Ling Mao, Yanan Li, Quanwei He, Yifan Zhou, Shengcai Chen, Jiang Chang, Mengdie Wang, David Wang and Candong Hong. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and The FASEB Journal.

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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