Chen Wu

4.9k citations
144 papers · 3.9k · 1 hit paper · h-index 33

Impact in

Papers in

Chen Wu

135 papers receiving 3.8k citations

Chen Wu's Hit Papers

Facile fabrication of electrospun hybrid nanofibers integrated cellulose, chitosan with ZIF-8 for efficient remediation of copper ions 2025 · 47 citations
470Years since publication10203040

Peers

Chen Wu
Comparison fields: 5 of 147
  • Health, Toxicology and Mutagenesis 1.1k
  • Cancer Research 426
  • Environmental Chemistry 267
  • Pollution 265
  • Immunology 439
Replace Martinus Løvik with:
Martinus Løvik Norway
Marlies Halder Italy
Thomas H. Hampton United States
Hong Cao China
Louise M. Ball United States
Ching‐Ping Tseng Taiwan
Barbara M. Judy United States
C. Frieke Kuper Netherlands
Lianrong Wang China
Marc J. Pallardy France
Chen Wu relative to Martinus Løvik Norway Martinus Løvik's profile →
Citations per field
00.5×2×3×4.3×
Martinus Løvik · 1×
Citations per year

Countries citing papers authored by Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018281
2 2009225
3 2017209
4 2019165
5 2013134
6 2012116
7 2012104
8 200796
9 200891
10 201287
11 202082
12 202278
13 201675
14 200969
15 201967
16 202067
17 201063
18 201159
19 201554
20 200853

About Chen Wu

Chen Wu is a scholar working on Health, Toxicology and Mutagenesis, Nuclear and High Energy Physics, Environmental Chemistry, Food Science and Pollution, having authored 144 papers that have together received 3.9k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (19 papers), Quantum Chromodynamics and Particle Interactions (14 papers), Particle physics theoretical and experimental studies (13 papers), Pesticide Exposure and Toxicity (11 papers), High-Energy Particle Collisions Research (10 papers), Fungal Infections and Studies (9 papers), Per- and polyfluoroalkyl substances research (9 papers) and Essential Oils and Antimicrobial Activity (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Cancer Research (426 citations), Environmental Chemistry (267 citations), Pollution (265 citations) and Immunology (439 citations). Chen Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhijun Zhou, Ambrose Jong, Sheng‐He Huang, Xiuli Chang, Xiaojuan Qi, Robert C. Seeger, Muller Fabbri, Yun Cheong Chang, Maohua Miao and Wei Yuan. Their work appears in journals such as Journal of High Energy Physics, Environment International, Environmental Research, Chemosphere and PLoS ONE.

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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