Ning Cheng

1.3k citations
59 papers · 841 · h-index 18

Impact in

Papers in

Ning Cheng

55 papers receiving 822 citations

Peers

Ning Cheng
Comparison fields: 5 of 123
  • Health, Toxicology and Mutagenesis 326
  • Pollution 134
  • Nutrition and Dietetics 120
  • Endocrinology, Diabetes and Metabolism 118
  • Pathology and Forensic Medicine 74
Replace Xiaobin Hu with:
Xiaobin Hu China
Huan Xu China
Yingying Yang China
Jiaqi Yang China
Shugang Li China
Zhiyuan Cheng China
Tobias Nilsson Sweden
Shujun Fan China
Wen‐Yi Lin Taiwan
Yu-Sheng Lin United States
Ning Cheng relative to Xiaobin Hu China Xiaobin Hu's profile →
Citations per field
00.5×1.5×2.5×
Xiaobin Hu · 1×
Citations per year

Countries citing papers authored by Ning Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ning Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020125
2 201765
3 201953
4 202053
5 201843
6 201636
7 201731
8 201630
9 201529
10 200224
11 201823
12 201622
13 201621
14 202121
15 201620
16 201318
17 201418
18 200717
19 201816
20 201916

About Ning Cheng

Ning Cheng is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology, Nutrition and Dietetics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 59 papers that have together received 841 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (12 papers), Air Quality and Health Impacts (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Trace Elements in Health (7 papers), Heavy metals in environment (5 papers), Climate Change and Health Impacts (5 papers), Optical Network Technologies (3 papers) and Semiconductor Lasers and Optical Devices (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (326 citations), Pollution (134 citations), Nutrition and Dietetics (120 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Pathology and Forensic Medicine (74 citations). Ning Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yana Bai, Aimin Yang, Tongzhang Zheng, Simin Liu, Jing Yang, Xiaobin Hu, Xiaowei Ren, Kenneth Lo, Jiao Ding and Yingqing Feng. Their work appears in journals such as Journal of Diabetes and its Complications, International Journal of Environmental Research and Public Health, Environmental Science and Pollution Research, Chemosphere and Scientific Reports.

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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