Binbin Xia
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- Biochemical and Structural Characterization
- Machine Learning in Bioinformatics
- Gut microbiota and health
- vaccines and immunoinformatics approaches
- Genomics and Phylogenetic Studies
- Protein Hydrolysis and Bioactive Peptides
Papers in
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- Machine Learning in Bioinformatics 2
- Gut microbiota and health 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Signaling Pathways in Disease 1
- Co-authors
- Jie Feng (1 shared paper)Min Wang (1 shared paper)Yuwei Zhang (1 shared paper)Xiaomei Tong (1 shared paper)Xiaolin Liu (1 shared paper)Xin Ye (1 shared paper)Ying Yu (1 shared paper)Jun Wang (2 shared papers)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (2 papers)RSC Advances (1 paper)China CDC Weekly (1 paper)Scientific Data (1 paper)Journal of Liquid Chromatography & Related Technologies (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Binbin Xia
11 papers receiving 378 citations
Binbin Xia's Hit Papers
Peers
Comparison fields: 5 of 80
- Microbiology 125
- Molecular Biology 268
- Applied Microbiology and Biotechnology 7
- Molecular Medicine 15
- Food Science 52
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 | 296 |
| 2 | 2021 | 45 | |
| 3 | 2014 | 16 | |
| 4 | 2018 | 10 | |
| 5 | 2008 | 6 | |
| 6 | 2017 | 3 | |
| 7 | 2025 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2020 | 1 | |
| 11 | [The application of chemical imaging to detection and enhancement of latent fingerprints]. | 2010 | 1 |
| 12 | 2021 | 0 |
About Binbin Xia
Binbin Xia is a scholar working on Molecular Biology, Infectious Diseases, Toxicology, Computational Theory and Mathematics and Food Science, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Computational Drug Discovery Methods (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Gut microbiota and health (2 papers), Probiotics and Fermented Foods (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Microbiology (125 citations), Molecular Biology (268 citations), Applied Microbiology and Biotechnology (7 citations), Molecular Medicine (15 citations) and Food Science (52 citations). Binbin Xia has collaborated with scholars based in China, United States and India. Frequent co-authors include Jie Feng, Min Wang, Yuwei Zhang, Xiaomei Tong, Xiaolin Liu, Xin Ye, Ying Yu, Jun Wang, Na Tang and Yue Ma. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, RSC Advances, China CDC Weekly, Scientific Data and Journal of Liquid Chromatography & Related Technologies.
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.