Mei-Juan Shi

888 citations
6 papers · 611 indexed · 1 hit paper · h-index 6
Topics
Cell Adhesion Molecules Research (2 papers)S100 Proteins and Annexins (2 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Mei-Juan Shi

6 papers receiving 608 citations

Hit Papers

Neutrophil extracellular traps released by neutrophils im...20202026202220242020100200300

Peers

Mei-Juan Shi
Comparison fields: 5 of 64
  • Immunology 318
  • Molecular Biology 273
  • Neurology 248
  • Epidemiology 86
  • Neurology 72
Replace Haiyu Luo with:
Haiyu Luo China
Alexandre Paré Canada
Anika Klingberg Germany
David A. Giles United States
Angela Dreykluft Germany
Livia Garzetti Italy
Guy Helman United States
Enrico Cristante United Kingdom
Jolien Wolbert Germany
Sarah Floris Netherlands
Mei-Juan Shi relative to Haiyu Luo China Haiyu Luo's profile →
Citations per field
00.5×
Haiyu Luo · 1×
Citations per year

Countries citing papers authored by Mei-Juan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Juan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Juan Shi. 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 Mei-Juan Shi. The network helps show where Mei-Juan Shi may publish in the future.

Co-authorship network of co-authors of Mei-Juan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Juan Shi. A scholar is included among the top collaborators of Mei-Juan Shi 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 Mei-Juan Shi. Mei-Juan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 5
2 45
3 158
4
Neutrophil extracellular traps released by neutrophils impair revascularization and vascular remodeling after strokebreakdown →
351
5 44
6 8

About Mei-Juan Shi

Mei-Juan Shi is a scholar working on Immunology and Allergy, Immunology and Cancer Research, having authored 6 papers that have together received 611 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), S100 Proteins and Annexins (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Neurology (248 citations), Immunology (318 citations) and Developmental Neuroscience (22 citations). Mei-Juan Shi has collaborated with scholars based in China and United States. Frequent co-authors include Lijing Kang, Yongliang Cao, Xing Yang, Wenying Fan, Bing–Qiao Zhao, Yuanbo Zhu, Huilin Yu, Ranran Wang, Xiaofei Bai and Haiyu Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

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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