Bingxin Lu
Impact in
-
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 2
-
- Cancer Genomics and Diagnostics 6
- Co-authors
- Wai Yie Leong (4 shared papers)Tieliu Shi (3 shared papers)Zhenbing Zeng (1 shared paper)Jin Zhou (2 shared papers)Lipeng Liu (2 shared papers)Tuo Yang (2 shared papers)Chengquan Ma (3 shared papers)Mingyao Liu (1 shared paper)
- Journals
- Journal of Bioinformatics and Computational Biology (2 papers)Bioinformatics (2 papers)Nature Communications (1 paper)Medicine (1 paper)Human Genetics (1 paper)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Bingxin Lu
28 papers receiving 372 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 50
- Molecular Biology 169
- Endocrinology 12
- Oncology 56
- Pharmacology 15
Countries citing papers authored by Bingxin Lu
This map shows the geographic impact of Bingxin 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 Bingxin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingxin Lu more than expected).
Fields of papers citing papers by Bingxin Lu
This network shows the impact of papers produced by Bingxin 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 Bingxin Lu. The network helps show where Bingxin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingxin 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 47 | |
| 2 | 2013 | 46 | |
| 3 | 2016 | 43 | |
| 4 | 2013 | 35 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2024 | 12 | |
| 10 | 2013 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2024 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2017 | 5 |
About Bingxin Lu
Bingxin Lu is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Plant Science, having authored 28 papers that have together received 375 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Cancer Genomics and Diagnostics (6 papers), RNA and protein synthesis mechanisms (4 papers), Cancer Cells and Metastasis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Machine Learning in Bioinformatics (2 papers), Probiotics and Fermented Foods (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cancer Research (50 citations), Molecular Biology (169 citations), Endocrinology (12 citations), Oncology (56 citations) and Pharmacology (15 citations). Bingxin Lu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Wai Yie Leong, Tieliu Shi, Zhenbing Zeng, Jin Zhou, Lipeng Liu, Tuo Yang, Chengquan Ma, Mingyao Liu, Zhenghui Yi and Chengping Wen. Their work appears in journals such as Journal of Bioinformatics and Computational Biology, Bioinformatics, Nature Communications, Medicine and Human Genetics.
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.