Dawei Wang

897 citations
36 papers · 689 · h-index 16

Impact in

  • Pollution top 10%
    • Pesticide and Herbicide Environmental Studies
    • Heavy metals in environment
  • Soil Science top 10%
    • Soil Carbon and Nitrogen Dynamics

Papers in

    • Protein Tyrosine Phosphatases 3
    • Ubiquitin and proteasome pathways 2
    • Gut microbiota and health 2
    • RNA Research and Splicing 2
    • Coastal wetland ecosystem dynamics 6

Dawei Wang

33 papers receiving 681 citations

Peers

Dawei Wang
Comparison fields: 5 of 108
  • Pollution 136
  • Soil Science 80
  • Industrial and Manufacturing Engineering 54
  • Earth-Surface Processes 38
  • Ecology 137
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Citations per field
00.5×2×2.5×
Yangyang Wang · 1×
Citations per year

Countries citing papers authored by Dawei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 201766
3 201756
4 202055
5 202155
6 202138
7 201931
8 202327
9 202125
10 201924
11 202322
12 202022
13 202118
14 201718
15 201518
16 201915
17 202510
18 20189
19 20178
20 20207

About Dawei Wang

Dawei Wang is a scholar working on Molecular Biology, Ecology, Oncology, Radiology, Nuclear Medicine and Imaging and Pollution, having authored 36 papers that have together received 689 indexed citations. Recurring topics across this work include Coastal wetland ecosystem dynamics (6 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Protein Tyrosine Phosphatases (3 papers), Cell Adhesion Molecules Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Gut microbiota and health (2 papers), RNA Research and Splicing (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Pollution (136 citations), Soil Science (80 citations), Industrial and Manufacturing Engineering (54 citations), Earth-Surface Processes (38 citations) and Ecology (137 citations). Dawei Wang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Guangliang Zhang, Junhong Bai, Wei Wang, Shuo Yin, Jia Jia, Xin Wang, Tian Xie, Junhong Bai, Zhen Xi and Ling Han. Their work appears in journals such as The Science of The Total Environment, European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, RSC Advances and Journal of Radioanalytical and Nuclear Chemistry.

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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