Yu Xia
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Heat shock proteins research
- Machine Learning in Bioinformatics
-
- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 40
- Protein Structure and Dynamics 33
- Microbial Metabolic Engineering and Bioproduction 17
- RNA and protein synthesis mechanisms 14
- Machine Learning in Bioinformatics 12
- Gene Regulatory Network Analysis 12
- 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)Frontiers in Pharmacology (4 papers)Proteins Structure Function and Bioinformatics (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yu Xia
145 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 170
- Molecular Biology 4.1k
- Computational Theory and Mathematics 579
- Aging 61
- Cell Biology 383
- Immunology 388
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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 416 | |
| 2 | 2007 | 402 | |
| 3 | 2006 | 368 | |
| 4 | 2008 | 315 | |
| 5 | 2004 | 221 | |
| 6 | 2009 | 184 | |
| 7 | 2008 | 179 | |
| 8 | 2005 | 154 | |
| 9 | 2009 | 147 | |
| 10 | 2004 | 138 | |
| 11 | 2000 | 134 | |
| 12 | 2011 | 112 | |
| 13 | 1996 | 109 | |
| 14 | 2019 | 105 | |
| 15 | 2005 | 104 | |
| 16 | Biomolecular Networks: Methods and Applications in Systems Biology | 2009 | 98 |
| 17 | 2004 | 96 | |
| 18 | 2015 | 78 | |
| 19 | 2016 | 74 | |
| 20 | 2004 | 71 |
About Yu Xia
Yu Xia is a scholar working on Molecular Biology, Genetics, Immunology, Computational Theory and Mathematics and Cancer Research, having authored 156 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 (33 papers), Microbial Metabolic Engineering and Bioproduction (17 papers), RNA and protein synthesis mechanisms (14 papers), Enzyme Structure and Function (13 papers), Computational Drug Discovery Methods (13 papers), Machine Learning in Bioinformatics (12 papers) and Gene Regulatory Network Analysis (12 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Computational Theory and Mathematics (579 citations), Aging (61 citations), Cell Biology (383 citations) and Immunology (388 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, Amie J. McClellan and Enoch S. Huang. Their work appears in journals such as PLoS ONE, Journal of Molecular Biology, PLoS Computational Biology, Frontiers in Pharmacology and Proteins Structure Function and Bioinformatics.
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.