Haijiao Jing

739 citations
20 papers · 477 indexed · h-index 11
Topics
COVID-19 Clinical Research Studies (13 papers)Long-Term Effects of COVID-19 (12 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers)
Partner nations
ChinaUnited States

In The Last Decade

Haijiao Jing

19 papers receiving 467 citations

Peers

Haijiao Jing
Comparison fields: 5 of 80
  • Neurology 209
  • Infectious Diseases 195
  • Immunology 113
  • Molecular Biology 110
  • Oncology 61
Replace Razie Amraei with:
Razie Amraei United States
Hai Deng China
Rafiqua Ben El Haj Morocco
Lukas Tombor Germany
A. Anglés Spain
Toru Sawada Japan
Mo Yang China
Philipp Hahn Germany
Luka Nicin Germany
Haijiao Jing relative to Razie Amraei United States Razie Amraei's profile →
Citations per field
00.5×2.8×
Razie Amraei · 1×
Citations per year

Countries citing papers authored by Haijiao Jing

Since Specialization
Citations

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

Fields of papers citing papers by Haijiao Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijiao Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Haijiao Jing. A scholar is included among the top collaborators of Haijiao Jing 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 Haijiao Jing. Haijiao Jing 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 0
2 30
3 8
4 50
5 9
6 7
7 26
8 47
9 5
10 21
11 75
12
Mechanisms of COVID-19 thrombosis in an inflammatory environment and new anticoagulant targets.
10
13 18
14 54
15
Neutrophil extracellular traps (NETs): the role of inflammation and coagulation in COVID-19.
9
16 33
17 11
18
COVID-19 associated thromboinflammation of renal capillary: potential mechanisms and treatment.
8
19 55
20 1

About Haijiao Jing

Haijiao Jing is a scholar working on Internal Medicine, Neurology and Infectious Diseases, having authored 20 papers that have together received 477 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Long-Term Effects of COVID-19 (12 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers). The work is most often cited by research in Neurology (209 citations), Infectious Diseases (195 citations) and Internal Medicine (36 citations). Haijiao Jing has collaborated with scholars based in China and United States. Frequent co-authors include Jialan Shi, Valerie A. Novakovic, Xiaoming Wu, Mengqi Xiang, Chengyue Wang, Rujuan Xie, Chunxu Wang, Chengyuan Yu, Xinyi Zhao and Jinming Zhang. Their work appears in journals such as Blood, Frontiers in Immunology and Frontiers in Microbiology.

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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