Danni Wu

53 papers receiving 1.5k citations

Danni Wu's Hit Papers

Programmable A-to-Y base editing by fusing an adenine base editor with an N-methylpurine DNA glycosylase 2023 · 167 citations
1670+1+2Years since publication50100150

Peers

Danni Wu
Comparison fields: 5 of 112
  • Environmental Chemistry 113
  • Molecular Biology 684
  • Nutrition and Dietetics 78
  • Pharmaceutical Science 40
  • Water Science and Technology 85
Replace Yixuan Wang with:
Yixuan Wang China
Tingting Yang China
Haolin Chen China
Ivana Grivicich Brazil
Jie Sun China
Claudia Röhl Germany
Ching Yuan United States
Lihong Yin China
shasha zhang China
Haonan Li China
Danni Wu relative to Yixuan Wang China Yixuan Wang's profile →
Citations per field
00.5×2×4×6×8.3×
Yixuan Wang · 1×
Citations per year

Countries citing papers authored by Danni Wu

Since Specialization
Citations

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

Fields of papers citing papers by Danni Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013531
2
Programmable A-to-Y base editing by fusing an adenine base editor with an N-methylpurine DNA glycosylase
Hit paper breakdown →
2023167
3 201780
4 201979
5 202360
6 201947
7 201947
8 200843
9 202442
10 201939
11 201529
12 202325
13 202024
14 201923
15 202222
16 201619
17 202118
18 202418
19 202316
20 202315

About Danni Wu

Danni Wu is a scholar working on Environmental Chemistry, Molecular Biology, Renewable Energy, Sustainability and the Environment, Water Science and Technology and Cancer Research, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Marine Toxins and Detection Methods (5 papers), Advanced Photocatalysis Techniques (5 papers), Industrial Gas Emission Control (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), CRISPR and Genetic Engineering (3 papers), 3D Shape Modeling and Analysis (2 papers), Organic Light-Emitting Diodes Research (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Environmental Chemistry (113 citations), Molecular Biology (684 citations), Nutrition and Dietetics (78 citations), Pharmaceutical Science (40 citations) and Water Science and Technology (85 citations). Danni Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hailin Wang, Hua Huang, Cuiping Li, Weikuan Gu, Yan Jiao, Zechen Chong, Guo-Liang Xu, Dapeng Zhang, Ruichuan Yin and Bailin Zhao. Their work appears in journals such as Optical Materials, Journal of Chromatography B, Colloids and Surfaces A Physicochemical and Engineering Aspects, ACS Chemical Biology and Petroleum Science and 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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