Feng Ning

4.9k citations
158 papers · 2.3k · h-index 28

Impact in

Papers in

Feng Ning

141 papers receiving 2.2k citations

Peers

Feng Ning
Comparison fields: 5 of 154
  • Endocrinology, Diabetes and Metabolism 434
  • Health, Toxicology and Mutagenesis 293
  • Atmospheric Science 285
  • Behavioral Neuroscience 54
  • Environmental Engineering 156
Replace Ping Chen with:
Ping Chen China
Binyan Wang China
Yawen Liu China
V. Gallo United Kingdom
Yungling Leo Lee Taiwan
Yajun Chen China
Shengfeng Wang China
Qiong Wang China
Sally W. Thurston United States
Zhihao Li China
Feng Ning relative to Ping Chen China Ping Chen's profile →
Citations per field
00.5×2.7×
Ping Chen · 1×
Citations per year

Countries citing papers authored by Feng Ning

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010106
2 2009104
3 2020101
4 201095
5 201990
6 200682
7 201379
8 202062
9 201556
10 200947
11 202046
12 201745
13 202343
14 201742
15 201241
16 201037
17 201234
18 201733
19 201733
20 201631

About Feng Ning

Feng Ning is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering, having authored 158 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Advanced biosensing and bioanalysis techniques (12 papers), Nanowire Synthesis and Applications (9 papers), Birth, Development, and Health (9 papers), Air Quality and Health Impacts (8 papers), Obesity, Physical Activity, Diet (7 papers), Metabolism, Diabetes, and Cancer (7 papers) and Atmospheric chemistry and aerosols (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (434 citations), Health, Toxicology and Mutagenesis (293 citations), Atmospheric Science (285 citations), Behavioral Neuroscience (54 citations) and Environmental Engineering (156 citations). Feng Ning has collaborated with scholars based in China, Finland and United Kingdom. Frequent co-authors include Zengchang Pang, Ke‐Qiu Chen, Qing Qiao, Xiaofeng Huang, Weiguo Gao, Li‐Ming Tang, Jaakko Tuomilehto, Ling‐Yan He, Guang-He Yu and Qing Qiao. Their work appears in journals such as Twin Research and Human Genetics, Diabetic Medicine, Optics Express, Journal of Applied Physics and Diabetes Care.

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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