Li‐Ju Wang
Impact in
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- Advanced biosensing and bioanalysis techniques
- Advanced Biosensing Techniques and Applications
- Bioinformatics and Genomic Networks
Papers in
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- Single-cell and spatial transcriptomics 3
- Gut microbiota and health 3
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- Biosensors and Analytical Detection 5
- Microfluidic and Bio-sensing Technologies 3
- Co-authors
- Lei Li (9 shared papers)Yu‐Chung Chang (8 shared papers)Rongrong Sun (2 shared papers)Yu‐Chiao Chiu (12 shared papers)Yidong Chen (10 shared papers)Yufei Huang (4 shared papers)Andrés Matoso (4 shared papers)Ronald A. DeLellis (6 shared papers)
- Journals
- Applied immunohistochemistry & molecular morphology (3 papers)BMC Genomics (2 papers)Microfluidics and Nanofluidics (2 papers)Phytomedicine (2 papers)Human Pathology (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Li‐Ju Wang
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 145
- Cancer Research 102
- Molecular Biology 493
- Biomedical Engineering 301
- Cell Biology 88
- Health Informatics 7
Countries citing papers authored by Li‐Ju Wang
This map shows the geographic impact of Li‐Ju Wang'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 Li‐Ju Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Ju Wang more than expected).
Fields of papers citing papers by Li‐Ju Wang
This network shows the impact of papers produced by Li‐Ju Wang. 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 Li‐Ju Wang. The network helps show where Li‐Ju Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Ju Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2016 | 132 | |
| 3 | 2005 | 129 | |
| 4 | 2010 | 116 | |
| 5 | 2019 | 63 | |
| 6 | 2018 | 56 | |
| 7 | 2016 | 53 | |
| 8 | 2016 | 51 | |
| 9 | 2022 | 50 | |
| 10 | 2017 | 39 | |
| 11 | 2021 | 38 | |
| 12 | 2013 | 31 | |
| 13 | 2014 | 31 | |
| 14 | 2014 | 29 | |
| 15 | 2023 | 28 | |
| 16 | 2020 | 28 | |
| 17 | 2009 | 27 | |
| 18 | 2018 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2022 | 17 |
About Li‐Ju Wang
Li‐Ju Wang is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Organic Chemistry and Surgery, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (5 papers), Mobile Health and mHealth Applications (3 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Synthesis and biological activity (3 papers), Electrostatics and Colloid Interactions (3 papers) and Multicomponent Synthesis of Heterocycles (3 papers). The work is most often cited by research in Cancer Research (102 citations), Molecular Biology (493 citations), Biomedical Engineering (301 citations), Cell Biology (88 citations) and Health Informatics (7 citations). Li‐Ju Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Lei Li, Yu‐Chung Chang, Rongrong Sun, Yu‐Chiao Chiu, Yidong Chen, Yufei Huang, Andrés Matoso, Ronald A. DeLellis, Murray B. Resnick and Rosemarie Tavares. Their work appears in journals such as Applied immunohistochemistry & molecular morphology, BMC Genomics, Microfluidics and Nanofluidics, Phytomedicine and Human Pathology.
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.