Hongliu Cai

5.8k citations
51 papers · 2.7k indexed · 1 hit paper · h-index 16
Topics
COVID-19 Clinical Research Studies (8 papers)Intensive Care Unit Cognitive Disorders (7 papers)Sepsis Diagnosis and Treatment (6 papers)
Journals
SHILAP Revista de lepidopterologíaBloodPLoS ONE

In The Last Decade

Hongliu Cai

43 papers receiving 2.6k citations

Hit Papers

Clinical findings in a group of patients infected with th...202020262022202420204008001.2k

Peers

Hongliu Cai
Comparison fields: 5 of 137
  • Infectious Diseases 1.6k
  • Neurology 774
  • Oncology 416
  • Obstetrics and Gynecology 360
  • Epidemiology 318
Replace Amer Harky with:
Amer Harky United Kingdom
Cuihong Xie China
Lingyu Jiang China
Jason D. Goldman United States
Ruqin Gao China
Ian Huang Indonesia
Yiyuan Cao China
Xiang Dong China
Qiurong Ruan China
Pavan K. Bhatraju United States
Hongliu Cai relative to Amer Harky United Kingdom Amer Harky's profile →
Citations per field
00.5×1.5×1.8×
Amer Harky · 1×
Citations per year

Countries citing papers authored by Hongliu Cai

Since Specialization
Citations

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

Fields of papers citing papers by Hongliu Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongliu Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Hongliu Cai. A scholar is included among the top collaborators of Hongliu Cai 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 Hongliu Cai. Hongliu Cai 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
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Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case seriesbreakdown →
1497
20 63

About Hongliu Cai

Hongliu Cai is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Molecular Medicine, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Neurology (774 citations) and Obstetrics and Gynecology (360 citations). Hongliu Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jifang Sheng, Kaijin Xu, Yunqing Qiu, Lanjuan Li, Xiaoxin Wu, Shibo Li, Sheng Zhang, Huaying Wang, Xiaowei Xu and Lingjun Ying. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

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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