Yiru Wang

103 papers receiving 2.6k citations

Yiru Wang's Hit Papers

Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence 2020 · 851 citations
8510+2+4Years since publication250500750

Peers

Yiru Wang
Comparison fields: 5 of 162
  • Infectious Diseases 544
  • Critical Care and Intensive Care Medicine 92
  • Modeling and Simulation 90
  • Rehabilitation 94
  • General Dentistry 18
Replace Xiaohe Li with:
Xiaohe Li China
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George Karakiulakis Greece
Liangqing Zhang China
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Citations per year

Countries citing papers authored by Yiru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yiru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence
Hit paper breakdown →
2020851
2 2022123
3 2020104
4 201893
5 202080
6 202375
7 201857
8 202056
9 202152
10 201446
11 201344
12
Ginsenoside Rb1 inhibit apoptosis in rat model of Alzheimer's disease induced by Aβ1-40.
201841
13 201637
14 201935
15 202033
16 201833
17 201831
18 202029
19 202129
20 202127

About Yiru Wang

Yiru Wang is a scholar working on Nephrology, Infectious Diseases, Pathology and Forensic Medicine, Rheumatology and Epidemiology, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Vasculitis and related conditions (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Autophagy in Disease and Therapy (4 papers), Intensive Care Unit Cognitive Disorders (4 papers), Alzheimer's disease research and treatments (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Infectious Diseases (544 citations), Critical Care and Intensive Care Medicine (92 citations), Modeling and Simulation (90 citations), Rehabilitation (94 citations) and General Dentistry (18 citations). Yiru Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qingquan Liu, Dawei Ye, Lisheng Wang, Yongman Lv, Xia Shen, Ranran Xu, Jie Tang, Hu Liu, Anying Cheng and Ping Liu. Their work appears in journals such as Medicine, Frontiers in Pharmacology, Frontiers in Physiology, Journal of Ultrasound in Medicine and International Journal of Antimicrobial Agents.

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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