Wange Lu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Wnt/β-catenin signaling in development and cancer
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 20
- RNA Research and Splicing 15
- CRISPR and Genetic Engineering 14
- Pluripotent Stem Cells Research 13
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 9
- Kruppel-like factors research 5
- Co-authors
- Vicky YamamotoJungmook LyuDavid BaltimoreKai WangPeilin ZhangWoojin AnChunming LiuByoung-San Moon
- Journals
- Journal of Biological Chemistry (7 papers)Nucleic Acids Research (6 papers)Scientific Reports (4 papers)Stem Cell Research & Therapy (3 papers)Developmental Cell (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Wange Lu
67 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 582
- Molecular Biology 2.2k
- Developmental Neuroscience 108
- Aging 31
- Cellular and Molecular Neuroscience 307
Countries citing papers authored by Wange Lu
This map shows the geographic impact of Wange Lu'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 Wange Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wange Lu more than expected).
Fields of papers citing papers by Wange Lu
This network shows the impact of papers produced by Wange Lu. 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 Wange Lu. The network helps show where Wange Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wange Lu, 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 | 2023 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 29 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2018 | 7 | |
| 9 | 2016 | 28 | |
| 10 | 2016 | 87 | |
| 11 | 2015 | 5 | |
| 12 | 2015 | 42 | |
| 13 | 2015 | 80 | |
| 14 | 2015 | 11 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 14 | |
| 17 | 2013 | 12 | |
| 18 | 2011 | 132 | |
| 19 | 2011 | 80 | |
| 20 | 2010 | 18 |
About Wange Lu
Wange Lu is a scholar working on Developmental Neuroscience, Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience and Genetics, having authored 70 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (20 papers), RNA Research and Splicing (15 papers), CRISPR and Genetic Engineering (14 papers), Pluripotent Stem Cells Research (13 papers), Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (10 papers), Epigenetics and DNA Methylation (9 papers) and Kruppel-like factors research (5 papers). The work is most often cited by research in Cancer Research (582 citations), Molecular Biology (2.2k citations), Developmental Neuroscience (108 citations), Aging (31 citations) and Cellular and Molecular Neuroscience (307 citations). Wange Lu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Vicky Yamamoto, Jungmook Lyu, David Baltimore, Kai Wang, Peilin Zhang, Woojin An, Chunming Liu, Byoung-San Moon, Zong Wei and Fan Gao. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Scientific Reports, Stem Cell Research & Therapy and Developmental Cell.
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.