Xingyong Wu

6.3k total citations · 2 hit papers
22 papers, 4.5k citations indexed

About

Xingyong Wu is a scholar working on Molecular Biology, Epidemiology and Materials Chemistry. According to data from OpenAlex, Xingyong Wu has authored 22 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Materials Chemistry. Recurrent topics in Xingyong Wu's work include Molecular Biology Techniques and Applications (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Xingyong Wu is often cited by papers focused on Molecular Biology Techniques and Applications (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Xingyong Wu collaborates with scholars based in United States, China and Laos. Xingyong Wu's co-authors include Marcel P. Bruchez, Joseph A. Treadway, Frank Peale, Hongjian Liu, Nianfeng Ge, Jian‐Quan Liu, Yuling Luo, Nan Su, Son Bui and John J. Flanagan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

Xingyong Wu

22 papers receiving 4.4k citations

Hit Papers

Immunofluorescent labeling of cancer marker Her2 and othe... 2002 2026 2010 2018 2002 2011 500 1000 1.5k

Peers

Xingyong Wu
Comparison fields: 5 of 148
  • Molecular Biology 2.4k
  • Materials Chemistry 1.5k
  • Biomedical Engineering 703
  • Electrical and Electronic Engineering 388
  • Oncology 345
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Jyoti K. Jaiswal United States
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Lin He China
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Citations per field, relative to Xingyong Wu
Xingyong Wu · 1×
Citations per year, relative to Xingyong Wu
Xingyong Wu · 1×

Countries citing papers authored by Xingyong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xingyong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyong Wu. A scholar is included among the top collaborators of Xingyong Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingyong Wu. Xingyong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 17
5 7
6 3
7 77
8 50
9 51
10 31
11 13
12 38
13 51
14
RNAscope breakdown →
1827
15 19
16
Immunofluorescent labeling of cancer marker Her2 and other cellular targets with semiconductor quantum dots breakdown →
1942
17
Bacteriophage infections in the industrial acetone butanol (AB) fermentation process.
68
18 133
19 45
20
Post-transcriptional induction of p21cip1 protein in condylomata and dysplasias is inversely related to human papillomavirus activities.
23

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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