Xun Gu
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Plant Gene Expression Analysis
- Genetics top 1%
- Genetic diversity and population structure
Papers in
-
- Genomics and Phylogenetic Studies 32
- RNA and protein synthesis mechanisms 20
- Bioinformatics and Genomic Networks 19
- Gene expression and cancer classification 10
- Protein Structure and Dynamics 9
- Genomics and Chromatin Dynamics 9
- Genetics 28
- Evolution and Genetic Dynamics 12
- Co-authors
- Wen‐Hsiung LiMasatoshi NeiT. Ya. SitnikovaKent Vander VeldenJianying GuJing YangYufeng WangZhixi Su
- Journals
- Molecular Biology and Evolution (10 papers)Journal of Molecular Evolution (8 papers)Trends in Genetics (4 papers)Briefings in Bioinformatics (4 papers)Genomics Proteomics & Bioinformatics (4 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Xun Gu
100 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 3.1k
- Genetics 1.2k
- Immunology 685
- Plant Science 1.2k
- Paleontology 193
Countries citing papers authored by Xun Gu
This map shows the geographic impact of Xun Gu'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 Xun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Gu more than expected).
Fields of papers citing papers by Xun Gu
This network shows the impact of papers produced by Xun Gu. 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 Xun Gu. The network helps show where Xun Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xun Gu, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 14 | |
| 7 | 2019 | 82 | |
| 8 | 2017 | 3 | |
| 9 | 2017 | 4 | |
| 10 | 2014 | 5 | |
| 11 | 2013 | 160 | |
| 12 | 2008 | 51 | |
| 13 | A tool for comprehensive analysis of protein interaction networks. | 2007 | 1 |
| 14 | 2006 | 170 | |
| 15 | 2004 | 7 | |
| 16 | 2003 | 120 | |
| 17 | 2002 | 26 | |
| 18 | 2002 | 120 | |
| 19 | 2002 | 14 | |
| 20 | 1998 | 12 |
About Xun Gu
Xun Gu is a scholar working on Molecular Biology, Genetics, Cancer Research, Pharmaceutical Science and Aging, having authored 106 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (32 papers), RNA and protein synthesis mechanisms (20 papers), Bioinformatics and Genomic Networks (19 papers), Chromosomal and Genetic Variations (12 papers), Evolution and Genetic Dynamics (12 papers), Gene expression and cancer classification (10 papers), Protein Structure and Dynamics (9 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Genetics (1.2k citations), Immunology (685 citations), Plant Science (1.2k citations) and Paleontology (193 citations). Xun Gu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Wen‐Hsiung Li, Masatoshi Nei, T. Ya. Sitnikova, Kent Vander Velden, Jianying Gu, Jing Yang, Yufeng Wang, Zhixi Su, Zhan Zhou and David Hewett‐Emmett. Their work appears in journals such as Molecular Biology and Evolution, Journal of Molecular Evolution, Trends in Genetics, Briefings in Bioinformatics and Genomics Proteomics & 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.