Ning Tang

9.8k citations
296 papers · 8.0k · h-index 48

Impact in

Papers in

Ning Tang

284 papers receiving 7.9k citations

Peers

Ning Tang
Comparison fields: 5 of 183
  • Health, Toxicology and Mutagenesis 3.5k
  • Process Chemistry and Technology 603
  • Atmospheric Science 1.7k
  • Spectroscopy 1.1k
  • Pollution 610
Replace Yaqi Cai with:
Yaqi Cai China
Yali Shi China
Kristopher McNeill United States
Fräser A. Armstrong United Kingdom
Thanh Wang China
Yong Liu China
O. Hutzinger Germany
David L. Sedlak United States
Yan Li China
Sébastien Sauvé Canada
Ning Tang relative to Yaqi Cai China Yaqi Cai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ning Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 296 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007433
2 1999295
3 2005254
4 2011194
5 2008164
6 2007139
7 2004127
8 2019115
9 2006113
10 2012112
11 2009109
12 2021102
13 201497
14 200897
15 200794
16 201890
17 201287
18 200786
19 200780
20 200778

About Ning Tang

Ning Tang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Organic Chemistry, Materials Chemistry and Oncology, having authored 296 papers that have together received 8.0k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (107 papers), Air Quality and Health Impacts (96 papers), Atmospheric chemistry and aerosols (70 papers), Metal complexes synthesis and properties (37 papers), Lanthanide and Transition Metal Complexes (23 papers), Carcinogens and Genotoxicity Assessment (23 papers), Magnetism in coordination complexes (21 papers) and biodegradable polymer synthesis and properties (21 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.5k citations), Process Chemistry and Technology (603 citations), Atmospheric Science (1.7k citations), Spectroscopy (1.1k citations) and Pollution (610 citations). Ning Tang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kazuichi Hayakawa, Akira Toriba, Takayuki Kameda, Jincai Wu, Ryoichi Kizu, Christine Cousins, Henrik Molina, David M. Horn, Suresh Mathivanan and Akhilesh Pandey. Their work appears in journals such as International Journal of Environmental Research and Public Health, Environmental Pollution, Atmospheric Environment, Journal of Environmental Sciences and Environmental Science & Technology.

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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