Bigang Liu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
-
- Epigenetics and DNA Methylation 6
- Melanoma and MAPK Pathways 5
- Cancer-related gene regulation 5
- Ubiquitin and proteasome pathways 4
-
- NF-κB Signaling Pathways 9
- MicroRNA in disease regulation 4
- Co-authors
- Dean G. Tang (14 shared papers)Collene Jeter (10 shared papers)Can Liu (6 shared papers)Xin Chen (9 shared papers)Tammy Calhoun‐Davis (6 shared papers)Jianjun Shen (12 shared papers)Sofia Honorio (2 shared papers)Jason F. Wiggins (1 shared paper)
- Journals
- Oncotarget (4 papers)Cell Cycle (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bigang Liu
34 papers receiving 2.7k citations
Bigang Liu's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 1.5k
- Oncology 813
- Molecular Biology 2.0k
- Immunology 367
- Pulmonary and Respiratory Medicine 360
Countries citing papers authored by Bigang Liu
This map shows the geographic impact of Bigang Liu'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 Bigang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bigang Liu more than expected).
Fields of papers citing papers by Bigang Liu
This network shows the impact of papers produced by Bigang Liu. 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 Bigang Liu. The network helps show where Bigang Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bigang Liu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44 Hit paper breakdown → | 2011 | 1136 |
| 2 | 2011 | 302 | |
| 3 | 2017 | 186 | |
| 4 | 2014 | 114 | |
| 5 | 2018 | 101 | |
| 6 | 2008 | 99 | |
| 7 | 2015 | 86 | |
| 8 | 2006 | 78 | |
| 9 | 2016 | 75 | |
| 10 | 2015 | 68 | |
| 11 | 2007 | 56 | |
| 12 | 2007 | 55 | |
| 13 | 2007 | 51 | |
| 14 | 2016 | 45 | |
| 15 | 2016 | 42 | |
| 16 | 2023 | 27 | |
| 17 | 2013 | 27 | |
| 18 | 2010 | 24 | |
| 19 | 2009 | 21 | |
| 20 | 2020 | 20 |
About Bigang Liu
Bigang Liu is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (9 papers), Cancer Cells and Metastasis (6 papers), Epigenetics and DNA Methylation (6 papers), Melanoma and MAPK Pathways (5 papers), Prostate Cancer Treatment and Research (5 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (813 citations), Molecular Biology (2.0k citations), Immunology (367 citations) and Pulmonary and Respiratory Medicine (360 citations). Bigang Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dean G. Tang, Collene Jeter, Can Liu, Xin Chen, Tammy Calhoun‐Davis, Jianjun Shen, Sofia Honorio, Jason F. Wiggins, Lubna Patrawala and David T. Brown. Their work appears in journals such as Oncotarget, Cell Cycle, Nucleic Acids Research, PLoS ONE and Cancer 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.