Ting Dong

107 papers receiving 2.8k citations

Ting Dong's Hit Papers

Health risks from the exposure of children to As, Se, Pb and other heavy metals near the largest coking plant in China 2013 · 337 citations
3370+4+8Years since publication100200300

Peers

Ting Dong
Comparison fields: 5 of 149
  • Health, Toxicology and Mutagenesis 445
  • Pollution 308
  • Plant Science 779
  • Radiological and Ultrasound Technology 78
  • Molecular Biology 1.0k
Replace Mohammad Shokrzadeh with:
Mohammad Shokrzadeh Iran
Young Rok Seo South Korea
Vera Garaj‐Vrhovac Croatia
Goran Gajski Croatia
Nevenka Kopjar Croatia
Peter Eckl Austria
Armen Nersesyan Austria
Nan Mei United States
Siegfried Knasmueller Austria
Inge Mangelsdorf Germany
Ting Dong relative to Mohammad Shokrzadeh Iran Mohammad Shokrzadeh's profile →
Citations per field
00.5×3.7×
Mohammad Shokrzadeh · 1×
Citations per year

Countries citing papers authored by Ting Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ting Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Health risks from the exposure of children to As, Se, Pb and other heavy metals near the largest coking plant in China
Hit paper breakdown →
2013337
2 2012246
3 2013232
4 2015220
5 2013116
6 2015108
7 2021106
8 201479
9 202276
10 201971
11 201869
12 202167
13 201557
14 202352
15 202048
16 201241
17 201440
18 201435
19 201435
20 202234

About Ting Dong

Ting Dong is a scholar working on Molecular Biology, Immunology, Nutrition and Dietetics, Plant Science and Organic Chemistry, having authored 114 papers that have together received 2.8k indexed citations. Recurring topics across this work include Trace Elements in Health (11 papers), Functional Brain Connectivity Studies (9 papers), Cognitive Functions and Memory (5 papers), Transgenic Plants and Applications (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Click Chemistry and Applications (5 papers), Plant Stress Responses and Tolerance (5 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (445 citations), Pollution (308 citations), Plant Science (779 citations), Radiological and Ultrasound Technology (78 citations) and Molecular Biology (1.0k citations). Ting Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Inhwan Hwang, Youngmin Park, Xiaoguang Lei, Dae Heon Kim, Zheng‐Yi Xu, Jing Bo Jin, Soo Youn Kim, Nan Huang, Xiuge Zhao and Chengye Sun. Their work appears in journals such as Nature Communications, Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Brain Imaging and Behavior and Environmental Health Perspectives.

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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