Hao Wu

3.3k citations
124 papers · 2.7k · h-index 28

Impact in

Papers in

    • Isotope Analysis in Ecology 22
    • Coastal wetland ecosystem dynamics 10
    • Toxic Organic Pollutants Impact 10
    • Effects and risks of endocrine disrupting chemicals 9
    • Mercury impact and mitigation studies 8

Hao Wu

120 papers receiving 2.6k citations

Peers

Hao Wu
Comparison fields: 5 of 134
  • Pollution 831
  • Health, Toxicology and Mutagenesis 508
  • Ecology 683
  • Electrochemistry 160
  • Bioengineering 102
Replace Marcelo Enrique Conti with:
Marcelo Enrique Conti Italy
Gabriel Billon France
François Bordas France
Amit Kumar India
Victor G. Mihucz Hungary
Ikram Ilahi Pakistan
Michele Arienzo Italy
Yi Su United States
Sean Comber United Kingdom
Hao Wu relative to Marcelo Enrique Conti Italy Marcelo Enrique Conti's profile →
Citations per field
00.5×6.4×
Marcelo Enrique Conti · 1×
Citations per year

Countries citing papers authored by Hao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018204
2 2017117
3 2017112
4 201798
5 201492
6 201986
7 202184
8 201984
9 202183
10 201477
11 200973
12 200971
13 201768
14 201763
15 202362
16 201360
17 202055
18 201250
19 201748
20 201640

About Hao Wu

Hao Wu is a scholar working on Ecology, Health, Toxicology and Mutagenesis, Pollution, Molecular Biology and Global and Planetary Change, having authored 124 papers that have together received 2.7k indexed citations. Recurring topics across this work include Isotope Analysis in Ecology (22 papers), Heavy metals in environment (17 papers), Toxic Organic Pollutants Impact (10 papers), Coastal wetland ecosystem dynamics (10 papers), Effects and risks of endocrine disrupting chemicals (9 papers), HIV Research and Treatment (9 papers), Microbial bioremediation and biosurfactants (9 papers) and Mercury impact and mitigation studies (8 papers). The work is most often cited by research in Pollution (831 citations), Health, Toxicology and Mutagenesis (508 citations), Ecology (683 citations), Electrochemistry (160 citations) and Bioengineering (102 citations). Hao Wu has collaborated with scholars based in China, New Zealand and Hong Kong. Frequent co-authors include Guanghui Lin, Yao Yao, Jianfeng Ping, Jianxiang Feng, Jinling Liu, Xiaoxu Wang, Linchuan Fang, Rui Wang, Shunshan Duan and Qi Chen. Their work appears in journals such as Food Chemistry, PLoS ONE, Marine Pollution Bulletin, Applied Geochemistry and Environmental 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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