Dan Wu

17.3k citations
431 papers · 15.3k · 2 hit papers · h-index 66

Impact in

Papers in

Dan Wu

416 papers receiving 15.1k citations

Dan Wu's Hit Papers

Inverse Oxide/Alloy‐Structured Nanozymes with NIR‐Triggered Enzymatic Cascade Regulation of ROS Homeostasis for Efficient Wound Healing 2025 · 51 citations
510+1Years since publication100200300

Peers

Dan Wu
Comparison fields: 5 of 156
  • Electrochemistry 2.8k
  • Renewable Energy, Sustainability and the Environment 2.7k
  • Bioengineering 856
  • Molecular Biology 9.1k
  • Catalysis 785
Replace Jian-Ding Qiu with:
Jian-Ding Qiu China
Hongmin Ma China
Nian Bing Li China
Hong Qun Luo China
Zhihong Zhang China
Jing Qian China
Kun Wang China
Songqin Liu China
Chen Wang China
Baohong Liu China
Dan Wu relative to Jian-Ding Qiu China Jian-Ding Qiu's profile →
Citations per field
00.5×1.7×
Jian-Ding Qiu · 1×
Citations per year

Countries citing papers authored by Dan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 431 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Durable CO2 conversion in the proton-exchange membrane system
Hit paper breakdown →
2024351
2 2018346
3 2020326
4 2017226
5 2011205
6 2013183
7 2014170
8 2017157
9 2019156
10 2007154
11 2017151
12 2018150
13 2017138
14 2018135
15 2013134
16 2017131
17 2013131
18 2017128
19 2018128
20 2012116

About Dan Wu

Dan Wu is a scholar working on Electrochemistry, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 431 papers that have together received 15.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (270 papers), Electrochemical sensors and biosensors (94 papers), Electrochemical Analysis and Applications (86 papers), Advanced Nanomaterials in Catalysis (84 papers), Biosensors and Analytical Detection (81 papers), Advanced Photocatalysis Techniques (28 papers), Electrocatalysts for Energy Conversion (24 papers) and Advanced battery technologies research (24 papers). The work is most often cited by research in Electrochemistry (2.8k citations), Renewable Energy, Sustainability and the Environment (2.7k citations), Bioengineering (856 citations), Molecular Biology (9.1k citations) and Catalysis (785 citations). Dan Wu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Qin Lei Wei, Hongmin Ma, Bin Du, Xiang Zhong Ren, Yong Zhang, Dawei Fan, He Li, Tao Yan, Xu Sun and Huan Wang. Their work appears in journals such as Biosensors and Bioelectronics, Analytical Chemistry, Sensors and Actuators B Chemical, Analytica Chimica Acta and Talanta.

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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