Ning Shen

2.7k citations
85 papers · 1.3k · h-index 18

Impact in

Papers in

Ning Shen

77 papers receiving 1.3k citations

Peers

Ning Shen
Comparison fields: 5 of 140
  • Pulmonary and Respiratory Medicine 343
  • Nutrition and Dietetics 116
  • Epidemiology 226
  • Infectious Diseases 126
  • Emergency Medical Services 44
Replace Bruno Van Vlem with:
Bruno Van Vlem Belgium
Barbara J. Philips United Kingdom
Cosby A. Stone United States
Moo-Song Lee South Korea
Inn‐Wen Chong Taiwan
Maryam Noori Iran
Massimo de Cal Italy
Dhruv Parekh United Kingdom
Ling Zhang China
Jang‐Hee Cho South Korea
Ning Shen relative to Bruno Van Vlem Belgium Bruno Van Vlem's profile →
Citations per field
00.5×5.3×
Bruno Van Vlem · 1×
Citations per year

Countries citing papers authored by Ning Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ning Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017199
2 2016177
3 2022105
4 201660
5 201145
6 202044
7 201329
8 201627
9 202224
10 202124
11 201023
12
Asymptomatic patients of chronic obstructive pulmonary disease in China.
201023
13 201822
14 201922
15 202020
16 202118
17 202218
18 201718
19 201817
20 201617

About Ning Shen

Ning Shen is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Molecular Biology, Physiology and Epidemiology, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers), COVID-19 Clinical Research Studies (10 papers), Respiratory Support and Mechanisms (7 papers), Asthma and respiratory diseases (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Gut microbiota and health (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (343 citations), Nutrition and Dietetics (116 citations), Epidemiology (226 citations), Infectious Diseases (126 citations) and Emergency Medical Services (44 citations). Ning Shen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Bei He, Wenqi Diao, Xiuyang Li, Shan Wang, Pengcheng Wu, Fudi Wang, Wenjie Fan, Xianlei Cai, Chen Wang and Wanqi Yu. Their work appears in journals such as International Journal of COPD, Scientific Reports, Acta Pharmaceutica Sinica B, BMC Medical Education and Frontiers in 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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