Yanqiu Wei

1.6k citations
22 papers · 667 indexed · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Yanqiu Wei

22 papers receiving 661 citations

Peers

Yanqiu Wei
Comparison fields: 5 of 103
  • Infectious Diseases 293
  • Neurology 156
  • Pulmonary and Respiratory Medicine 235
  • Modeling and Simulation 22
  • Oncology 111
Replace Huihui Yue with:
Huihui Yue China
Long Rong China
Marzanna Ciesielka Poland
Liqing Cheng China
Jia Feng China
Renxu Lai China
Shuliang Zhou China
Serena Ludovisi Italy
Aatish Patel United Kingdom
Yanqiu Wei relative to Huihui Yue China Huihui Yue's profile →
Citations per field
00.5×1.6×
Huihui Yue · 1×
Citations per year

Countries citing papers authored by Yanqiu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yanqiu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20254
3 20242
4 20241
5 20225
6 202211
7 202210
8 202226
9 202115
10 202122
11 20218
12 202099
13 20201
14 202050
15 202061
16 20202
17 20205
18 202037
19 2019137
20 201832

About Yanqiu Wei

Yanqiu Wei is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Virology, Oncology and Management of Technology and Innovation, having authored 22 papers that have together received 667 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Viral Infections and Vectors (3 papers), COVID-19 and healthcare impacts (3 papers), Respiratory viral infections research (2 papers), Mosquito-borne diseases and control (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Infectious Diseases (293 citations), Neurology (156 citations), Pulmonary and Respiratory Medicine (235 citations), Modeling and Simulation (22 citations) and Oncology (111 citations). Yanqiu Wei has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Huilan Zhang, Jiaojiao Chu, Gaohong Sheng, Huihui Yue, Cong‐Yi Wang, Jianping Zhao, Fengqin Zhang, Peng Chen, Yihua Wang and Wanguang Zhang. Their work appears in journals such as Journal of Medical Virology, The Innovation, Respiratory Research, Cell Proliferation and American Journal Of Pathology.

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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