Yu Xia
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Heat shock proteins research
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Aging top 5%
Papers in
-
- Bioinformatics and Genomic Networks 40
- Protein Structure and Dynamics 34
- Microbial Metabolic Engineering and Bioproduction 16
- RNA and protein synthesis mechanisms 14
- Gene Regulatory Network Analysis 12
- Machine Learning in Bioinformatics 11
- Genetics 20
- Co-authors
- Mark Gerstein (13 shared papers)Eric A. Franzosa (12 shared papers)Jun Wang (2 shared papers)Michael Levitt (11 shared papers)Philip M. Kim (2 shared papers)Long Lu (3 shared papers)Judith Frydman (3 shared papers)Haiyuan Yu (6 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of Molecular Biology (5 papers)PLoS Computational Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Molecular Biology and Evolution (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yu Xia
144 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 169
- Molecular Biology 3.9k
- Aging 58
- Computational Theory and Mathematics 509
- Cell Biology 358
- Immunology 360
Countries citing papers authored by Yu Xia
This map shows the geographic impact of Yu 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 Yu Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Xia more than expected).
Fields of papers citing papers by Yu Xia
This network shows the impact of papers produced by Yu 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 Yu Xia. The network helps show where Yu Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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
Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 418 | |
| 2 | 2007 | 403 | |
| 3 | 2006 | 369 | |
| 4 | 2008 | 317 | |
| 5 | 2004 | 221 | |
| 6 | 2009 | 183 | |
| 7 | 2008 | 179 | |
| 8 | 2005 | 154 | |
| 9 | 2009 | 148 | |
| 10 | 2004 | 138 | |
| 11 | 2000 | 134 | |
| 12 | 2011 | 113 | |
| 13 | 2019 | 107 | |
| 14 | 2005 | 104 | |
| 15 | Biomolecular Networks: Methods and Applications in Systems Biology | 2009 | 100 |
| 16 | 2004 | 96 | |
| 17 | 2015 | 79 | |
| 18 | 2016 | 76 | |
| 19 | 2004 | 72 | |
| 20 | 2019 | 67 |
About Yu Xia
Yu Xia is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Materials Chemistry and Immunology, having authored 158 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (40 papers), Protein Structure and Dynamics (34 papers), Microbial Metabolic Engineering and Bioproduction (16 papers), RNA and protein synthesis mechanisms (14 papers), Enzyme Structure and Function (13 papers), Computational Drug Discovery Methods (12 papers), Gene Regulatory Network Analysis (12 papers) and Machine Learning in Bioinformatics (11 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Aging (58 citations), Computational Theory and Mathematics (509 citations), Cell Biology (358 citations) and Immunology (360 citations). Yu Xia has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mark Gerstein, Eric A. Franzosa, Jun Wang, Michael Levitt, Philip M. Kim, Long Lu, Judith Frydman, Haiyuan Yu, Enoch S. Huang and Ram Samudrala. Their work appears in journals such as PLoS ONE, Journal of Molecular Biology, PLoS Computational Biology, Proceedings of the National Academy of Sciences and Molecular Biology and Evolution.
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.