Binya Liu
Impact in
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Ubiquitin and proteasome pathways 1
- Oncology 4
- Cancer-related Molecular Pathways 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Xiaoping Wan (7 shared papers)Qi Che (4 shared papers)Yun Liao (3 shared papers)Fangyuan Wang (3 shared papers)Wen Lu (3 shared papers)Yinyan He (2 shared papers)Wei Bao (2 shared papers)Xiaoying He (2 shared papers)
- Journals
- The FASEB Journal (2 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cancer Letters (1 paper)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Binya Liu
19 papers receiving 355 citations
Peers
Comparison fields: 5 of 62
- Obstetrics and Gynecology 46
- Cancer Research 86
- Reproductive Medicine 28
- Oncology 72
- Immunology 50
Countries citing papers authored by Binya Liu
This map shows the geographic impact of Binya 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 Binya Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binya Liu more than expected).
Fields of papers citing papers by Binya Liu
This network shows the impact of papers produced by Binya 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 Binya Liu. The network helps show where Binya Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Binya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 61 | |
| 2 | 2014 | 48 | |
| 3 | 2015 | 44 | |
| 4 | 2014 | 40 | |
| 5 | 2019 | 26 | |
| 6 | 2016 | 26 | |
| 7 | 2017 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2016 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 7 | |
| 14 | [Polo like kinase 1 expression and prognostic value in gastric carcinomas]. | 2007 | 5 |
| 15 | 2023 | 2 | |
| 16 | [Analysis of gene expression profiles in gastric cancer cell cycle]. | 2006 | 2 |
| 17 | Study on Recovery of Fluorine in Bastnaesite and Extract Conditions of the Cerium | 2015 | 1 |
| 18 | [Inhibition of polo like kinase gene expression induces apoptosis in gastric cancer cells]. | 2006 | 1 |
| 19 | [Behavioral treatment of functional anejaculation and factors influencing the therapeutic effect]. | 2024 | 1 |
| 20 | 2025 | 0 |
About Binya Liu
Binya Liu is a scholar working on Molecular Biology, Oncology, Cancer Research, Obstetrics and Gynecology and Genetics, having authored 20 papers that have together received 358 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Estrogen and related hormone effects (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endometriosis Research and Treatment (1 paper), Ubiquitin and proteasome pathways (1 paper), Fatty Acid Research and Health (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Obstetrics and Gynecology (46 citations), Cancer Research (86 citations), Reproductive Medicine (28 citations), Oncology (72 citations) and Immunology (50 citations). Binya Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoping Wan, Qi Che, Yun Liao, Fangyuan Wang, Wen Lu, Yinyan He, Wei Bao, Xiaoying He, Wen Lu and Xiaoyue Chen. Their work appears in journals such as The FASEB Journal, PLoS ONE, Biochemical and Biophysical Research Communications, Cancer Letters and Signal Transduction and Targeted Therapy.
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.