Gang Lü
- Cancer Research top 0.5%
- MicroRNA in disease regulation 26
- Cancer-related molecular mechanisms research 20
- Biochemistry top 0.5%
- Molecular Biology top 1%
- RNA Research and Splicing 19
- Mitochondrial Function and Pathology 16
- Circular RNAs in diseases 15
- Genetics top 1%
- Mesenchymal stem cell research 14
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- Toxoplasma gondii Research Studies 17
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- Reproductive Biology and Fertility 17
- Co-authors
- Chung S. YangSonia C. PicinichXin WangYibin WangWai Sang PoonBrent M. EganChad A. MirkinT. Andrew Taton
- Journals
- Journal of Biological Chemistry (7 papers)PLoS ONE (6 papers)Microscopy Research and Technique (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Gang Lü
360 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Cancer Research 2.1k
- Applied Microbiology and Biotechnology 245
- Biochemistry 593
- Molecular Biology 5.6k
- Genetics 766
Countries citing papers authored by Gang Lü
This map shows the geographic impact of Gang Lü'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 Gang Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Lü more than expected).
Fields of papers citing papers by Gang Lü
This network shows the impact of papers produced by Gang Lü. 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 Gang Lü. The network helps show where Gang Lü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Lü, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 50 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 112 | |
| 16 | 2020 | 34 | |
| 17 | 2019 | 42 | |
| 18 | Example Analysis on Partial Discharge in the GIS Bushing Based on UHF Technology and Positioning Method in Three Dimensional Space | 2016 | 1 |
| 19 | 2011 | 139 | |
| 20 | Optimization and Implementation of Embedded GUI Based on Blackfin Processor | 2009 | 0 |
About Gang Lü
Gang Lü is a scholar working on Parasitology, Cancer Research, Applied Microbiology and Biotechnology, Molecular Biology and Reproductive Medicine, having authored 380 papers that have together received 12.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (26 papers), Cancer-related molecular mechanisms research (20 papers), RNA Research and Splicing (19 papers), Toxoplasma gondii Research Studies (17 papers), Reproductive Biology and Fertility (17 papers), Mitochondrial Function and Pathology (16 papers), Circular RNAs in diseases (15 papers) and Mesenchymal stem cell research (14 papers). The work is most often cited by research in Cancer Research (2.1k citations), Applied Microbiology and Biotechnology (245 citations), Biochemistry (593 citations), Molecular Biology (5.6k citations) and Genetics (766 citations). Gang Lü has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chung S. Yang, Sonia C. Picinich, Xin Wang, Yibin Wang, Wai Sang Poon, Brent M. Egan, Chad A. Mirkin, T. Andrew Taton, Wai‐Yee Chan and Marie C. Lin. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Microscopy Research and Technique, Hypertension and Nucleic Acids Research.
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.