Wen Ning

4.0k citations
97 papers · 2.8k indexed · h-index 29

Impact in

Papers in

Wen Ning

86 papers receiving 2.8k citations

Peers

Wen Ning
Comparison fields: 5 of 135
  • Health 197
  • Immunology 447
  • Cancer Research 295
  • Molecular Biology 1.3k
  • Modeling and Simulation 87
Replace Wenqing Zhang with:
Wenqing Zhang China
Anita Reddy United States
Angelo Leone Italy
D. Michael Shasby United States
José Francisco Muñóz-Valle Mexico
Richard J. Gumina United States
Vahid Salimi Iran
John Earl Australia
Sebastian Weis Germany
David M. Patrick United States
Wen Ning relative to Wenqing Zhang China Wenqing Zhang's profile →
Citations per field
00.5×3.9×
Wenqing Zhang · 1×
Citations per year

Countries citing papers authored by Wen Ning

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004266
2 2003185
3 2011178
4 2007135
5 2008109
6 200295
7 201493
8 201871
9 201868
10 200767
11 200663
12 201962
13 200661
14 202260
15 201157
16 200952
17 200751
18 201150
19 201849
20 201748

About Wen Ning

Wen Ning is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Neonatal Respiratory Health Research (13 papers), Viral Infections and Immunology Research (11 papers), Vaccine Coverage and Hesitancy (10 papers), Viral gastroenteritis research and epidemiology (10 papers), Virology and Viral Diseases (9 papers), TGF-β signaling in diseases (7 papers) and Medical Imaging and Pathology Studies (7 papers). The work is most often cited by research in Health (197 citations), Immunology (447 citations), Cancer Research (295 citations), Molecular Biology (1.3k citations) and Modeling and Simulation (87 citations). Wen Ning has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Augustine M.K. Choi, Chaojun Li, Ruiping Song, Carol Feghali‐Bostwick, Yinshan Fang, Lixin Hao, Simon C. Watkins, Sean Alber, David G. Peters and Xiaofeng Liang. Their work appears in journals such as China CDC Weekly, The Journal of Infectious Diseases, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Biological Chemistry and Vaccine.

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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