Cuiying He

1.2k citations
19 papers · 831 · 1 hit paper · h-index 9

Impact in

Papers in

Cuiying He

18 papers receiving 817 citations

Cuiying He's Hit Papers

Clinical characteristics of 3062 COVID‐19 patients: A meta‐analysis 2020 · 432 citations
4320+2+4Years since publication100200300400

Peers

Cuiying He
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 213
  • Infectious Diseases 285
  • Neurology 189
  • Critical Care and Intensive Care Medicine 39
  • Modeling and Simulation 20
Replace Xunliang Tong with:
Xunliang Tong China
Arief Wibowo Indonesia
Bassam Mahboub United Arab Emirates
Hua Su China
Eun‐Jung Jo South Korea
Yongman Lv China
Hossein Ajdarkosh Iran
Haiyan Guo China
Cuiying He relative to Xunliang Tong China Xunliang Tong's profile →
Citations per field
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Xunliang Tong · 1×
Citations per year

Countries citing papers authored by Cuiying He

Since Specialization
Citations

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

Fields of papers citing papers by Cuiying He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Clinical characteristics of 3062 COVID‐19 patients: A meta‐analysis
Hit paper breakdown →
2020432
2 2017166
3 201697
4 202227
5
Two gene set variation indexes as potential diagnostic tool for sepsis.
202025
6 201622
7 201613
8 201712
9 202111
10 20168
11 20226
12 20224
13 20232
14 20202
15 20241
16 20251
17 20251
18 20221
19 20230

About Cuiying He

Cuiying He is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis, Pollution and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 831 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Air Quality and Health Impacts (5 papers), Energy and Environment Impacts (3 papers), Ubiquitin and proteasome pathways (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Toxoplasma gondii Research Studies (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (213 citations), Infectious Diseases (285 citations), Neurology (189 citations), Critical Care and Intensive Care Medicine (39 citations) and Modeling and Simulation (20 citations). Cuiying He has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Pan Ji, Jianfeng Zhang, Zhimei Zhong, Hongyuan Li, Jielong Pang, Chunling Zhao, Jieyun Zhu, Yasuhiro Yoshida, Miao He and Takamichi Ichinose. Their work appears in journals such as BMC Cancer, Journal of Agricultural and Food Chemistry, Journal of Medical Virology, Medical Oncology and Environmental Toxicology and Pharmacology.

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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