Binbin Xia
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Gut microbiota and health 2
- Machine Learning in Bioinformatics 2
- Natural product bioactivities and synthesis 1
-
- Bioactive Compounds and Antitumor Agents 2
- Co-authors
- Na Tang (1 shared paper)Xiaomei Tong (1 shared paper)Xiaolin Liu (1 shared paper)Yue Ma (2 shared papers)Zhengyan Guo (1 shared paper)Xin Ye (1 shared paper)Jun Wang (2 shared papers)Min Wang (1 shared paper)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (2 papers)Advanced Science (1 paper)China CDC Weekly (1 paper)Journal of Liquid Chromatography & Related Technologies (1 paper)Scientific Data (1 paper)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Binbin Xia
12 papers receiving 412 citations
Binbin Xia's Hit Papers
Peers
Comparison fields: 5 of 81
- Microbiology 132
- Applied Microbiology and Biotechnology 7
- Molecular Biology 258
- Molecular Medicine 15
- Food Science 50
Countries citing papers authored by Binbin Xia
This map shows the geographic impact of Binbin Xia'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 Binbin Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Xia more than expected).
Fields of papers citing papers by Binbin Xia
This network shows the impact of papers produced by Binbin Xia. 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 Binbin Xia. The network helps show where Binbin Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Xia, 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 | Identification of antimicrobial peptides from the human gut microbiome using deep learning Hit paper breakdown → | 2022 | 324 |
| 2 | 2021 | 47 | |
| 3 | 2014 | 16 | |
| 4 | 2018 | 10 | |
| 5 | 2008 | 6 | |
| 6 | 2025 | 3 | |
| 7 | 2017 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 1 | |
| 12 | [The application of chemical imaging to detection and enhancement of latent fingerprints]. | 2010 | 1 |
About Binbin Xia
Binbin Xia is a scholar working on Molecular Biology, Toxicology, Computational Theory and Mathematics, Food Science and Infectious Diseases, having authored 12 papers that have together received 416 indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (2 papers), Gut microbiota and health (2 papers), Machine Learning in Bioinformatics (2 papers), Computational Drug Discovery Methods (2 papers), Probiotics and Fermented Foods (2 papers), Natural product bioactivities and synthesis (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Microbiology (132 citations), Applied Microbiology and Biotechnology (7 citations), Molecular Biology (258 citations), Molecular Medicine (15 citations) and Food Science (50 citations). Binbin Xia has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Na Tang, Xiaomei Tong, Xiaolin Liu, Yue Ma, Zhengyan Guo, Xin Ye, Jun Wang, Min Wang, Jie Feng and Ying Yu. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Advanced Science, China CDC Weekly, Journal of Liquid Chromatography & Related Technologies and Scientific Data.
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.