Yichen Guo
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Machine Learning in Bioinformatics 5
- vaccines and immunoinformatics approaches 4
- Glycosylation and Glycoproteins Research 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Protein Structure and Dynamics 1
-
- Proteoglycans and glycosaminoglycans research 2
- Co-authors
- Ivan Stamenkovic (2 shared papers)Man‐Sun Sy (1 shared paper)Ke Yan (8 shared papers)Bin Liu (7 shared papers)Hongwu Lv (6 shared papers)M S Sy (1 shared paper)Wei Peng (1 shared paper)Hao Wu (2 shared papers)
- Journals
- Bioinformatics (3 papers)The Journal of Experimental Medicine (2 papers)Analytical Biochemistry (1 paper)Briefings in Bioinformatics (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Yichen Guo
10 papers receiving 708 citations
Yichen Guo's Hit Papers
Peers
Comparison fields: 5 of 76
- Immunology and Allergy 159
- Microbiology 135
- Cell Biology 282
- Molecular Biology 543
- Computational Mathematics 2
Countries citing papers authored by Yichen Guo
This map shows the geographic impact of Yichen Guo'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 Yichen Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Guo more than expected).
Fields of papers citing papers by Yichen Guo
This network shows the impact of papers produced by Yichen Guo. 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 Yichen Guo. The network helps show where Yichen Guo may publish in the future.
Co-authors
The 14 scholars most cited alongside Yichen Guo, 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 | 1991 | 272 | |
| 2 | sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structure Hit paper breakdown → | 2022 | 149 |
| 3 | 1992 | 99 | |
| 4 | 2022 | 53 | |
| 5 | 2021 | 49 | |
| 6 | 2022 | 38 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2020 | 4 |
About Yichen Guo
Yichen Guo is a scholar working on Molecular Biology, Cell Biology, Microbiology, Immunology and Allergy and Infectious Diseases, having authored 10 papers that have together received 726 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), vaccines and immunoinformatics approaches (4 papers), Proteoglycans and glycosaminoglycans research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Antimicrobial Peptides and Activities (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Immunology and Allergy (159 citations), Microbiology (135 citations), Cell Biology (282 citations), Molecular Biology (543 citations) and Computational Mathematics (2 citations). Yichen Guo has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Ivan Stamenkovic, Man‐Sun Sy, Ke Yan, Bin Liu, Hongwu Lv, M S Sy, Wei Peng, Hao Wu, Jie Wen and Yongyong Chen. Their work appears in journals such as Bioinformatics, The Journal of Experimental Medicine, Analytical Biochemistry, Briefings in Bioinformatics and Computers in Biology and Medicine.
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.