Ling Zhou

3.4k citations
59 papers · 2.3k indexed · 2 hit papers · h-index 19

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 2%
    • Long-Term Effects of COVID-19

Papers in

Ling Zhou

56 papers receiving 2.3k citations

Hit Papers

Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease 2020 · 759 citations
7592020202620222024250500750

Peers

Ling Zhou
Comparison fields: 5 of 140
  • Infectious Diseases 1.0k
  • Neurology 608
  • Cardiology and Cardiovascular Medicine 377
  • Biological Psychiatry 38
  • Pulmonary and Respiratory Medicine 487
Replace Yunhe Zhao with:
Yunhe Zhao China
Lei Zhao China
Xiansheng Liu China
Li Peng China
Li Niu China
Gaurav Aggarwal United States
Hong Yu China
Zhe Dai China
Fabio Perrotta Italy
Despina Fotiou Greece
Ling Zhou relative to Yunhe Zhao China Yunhe Zhao's profile →
Citations per field
00.5×9.6×
Yunhe Zhao · 1×
Citations per year

Countries citing papers authored by Ling Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ling Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20246
4 20240
5 202416
6 20241
7 202327
8 20235
9 20225
10 20227
11 202116
12 20218
13 201717
14 201740
15 20162
16 20135
17 201330
18 201216
19 20129
20 20086

About Ling Zhou

Ling Zhou is a scholar working on Biological Psychiatry, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Cancer Research and Immunology, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Cardiovascular Function and Risk Factors (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Adipose Tissue and Metabolism (5 papers), Cancer-related molecular mechanisms research (4 papers), Cardiovascular Issues in Pregnancy (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Neurology (608 citations), Cardiology and Cardiovascular Medicine (377 citations), Biological Psychiatry (38 citations) and Pulmonary and Respiratory Medicine (487 citations). Ling Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huiguo Liu, Shuang Wei, Wei Liu, Yan Deng, Kui Liu, Ming Yang, Lei Wang, Jing Liu, Yi Hu and Shao‐Liang Chen. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of the American College of Cardiology, Annals of Human Genetics, International Journal of Cardiology and Journal of Hypertension.

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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