Ting Tang

62 papers receiving 1.8k citations

Peers

Ting Tang
Comparison fields: 5 of 99
  • Health, Toxicology and Mutagenesis 323
  • Pollution 265
  • Water Science and Technology 301
  • Organic Chemistry 601
  • Industrial and Manufacturing Engineering 97
Replace Amit Bafana with:
Amit Bafana India
Jyoti P. Jadhav India
Jeferson Steffanello Piccin Brazil
Subpiramaniyam Sivakumar India
Vinoth Kumar Vaidyanathan India
Heloise Beatriz Quesada Brazil
Eliseo Cristiani‐Urbina Mexico
Raj Mohan Balakrishnan India
Guizhen Li China
Ting Tang relative to Amit Bafana India Amit Bafana's profile →
Citations per field
00.5×1.5×1.9×
Amit Bafana · 1×
Citations per year

Countries citing papers authored by Ting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018168
2 2014138
3 2012102
4 201895
5 201388
6 201373
7 201973
8 201961
9 201956
10 201750
11 201249
12 201648
13 201848
14 201737
15 201336
16 201935
17 201434
18 201432
19 201832
20 201831

About Ting Tang

Ting Tang is a scholar working on Health, Toxicology and Mutagenesis, Organic Chemistry, Pollution, Molecular Biology and Water Science and Technology, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (15 papers), Environmental remediation with nanomaterials (9 papers), Ecology and Vegetation Dynamics Studies (7 papers), Catalytic C–H Functionalization Methods (6 papers), Microbial bioremediation and biosurfactants (5 papers), Advanced oxidation water treatment (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and TiO2 Photocatalysis and Solar Cells (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (323 citations), Pollution (265 citations), Water Science and Technology (301 citations), Organic Chemistry (601 citations) and Industrial and Manufacturing Engineering (97 citations). Ting Tang has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Yongming Zhu, Zhi Dang, Guining Lu, Xueqin Tao, Hua Yin, Rui Wang, Shun‐Jun Ji, Kaibo Huang, Zhong Chen and Kaibo Huang. Their work appears in journals such as The Journal of Organic Chemistry, The Science of The Total Environment, Journal of Hazardous Materials, Chemosphere and Environmental Pollution.

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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