Dan Wu

16.9k citations
431 papers · 14.7k · 2 hit papers · h-index 66

Impact in

Papers in

Dan Wu

412 papers receiving 14.5k 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 · 36 citations
360+2+4Years since publication100200300

Peers

Dan Wu
Comparison fields: 5 of 158
  • Electrochemistry 2.8k
  • Bioengineering 853
  • Renewable Energy, Sustainability and the Environment 2.4k
  • Molecular Biology 9.1k
  • Biomedical Engineering 4.5k
Replace Jian‐Ding Qiu with:
Jian‐Ding Qiu China
Hongmin Ma China
Guobao Xu China
Nian Bing Li China
Hong Qun Luo China
Jinhua Chen China
Zhihong Zhang China
Kun Wang China
Songqin Liu China
Baohong Liu China
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Citations per field
00.5×1.7×
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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 2018339
2
Self-Luminescent Lanthanide Metal–Organic Frameworks as Signal Probes in Electrochemiluminescence Immunoassay
Hit paper breakdown →
2020320
3 2017224
4 2011205
5 2013182
6 2014169
7 2017157
8 2019154
9 2007153
10 2017152
11 2018151
12 2017136
13 2018135
14 2013132
15 2017131
16 2013131
17 2017127
18 2018126
19 2012116
20 2010112

About Dan Wu

Dan Wu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Electrochemistry, having authored 431 papers that have together received 14.7k 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 (82 papers), Biosensors and Analytical Detection (81 papers), Advanced Photocatalysis Techniques (28 papers), Electrocatalysts for Energy Conversion (24 papers) and Advanced battery technologies research (23 papers). The work is most often cited by research in Electrochemistry (2.8k citations), Bioengineering (853 citations), Renewable Energy, Sustainability and the Environment (2.4k citations), Molecular Biology (9.1k citations) and Biomedical Engineering (4.5k citations). Dan Wu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Qin Wei, Hongmin Ma, Bin Du, Yong Zhang, Xiang Ren, Dawei Fan, He Li, Tao Yan, Xu Sun and Yaoguang 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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