Jun Xie
Impact in
- Endocrinology top 2%
- Plant and Fungal Interactions Research
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
-
- Gene expression and cancer classification 10
- Machine Learning in Bioinformatics 6
- Genetics 19
- Genetic Associations and Epidemiology 6
- Genetic and phenotypic traits in livestock 6
- Co-authors
- Chaofeng Liu (4 shared papers)Yaowu Liu (3 shared papers)Mengchang He (4 shared papers)Xiaofei Lu (1 shared paper)Jianhong Xi (1 shared paper)Xiangqin Wang (1 shared paper)Said A. Ghabrial (2 shared papers)You‐Liang Peng (2 shared papers)
- Journals
- HLA (5 papers)Scientific Reports (4 papers)Insect Molecular Biology (4 papers)Journal of Computational Biology (4 papers)Frontiers in Public Health (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jun Xie
123 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 172
- Endocrinology 223
- Statistics and Probability 208
- Pollution 216
- Reproductive Medicine 130
- Insect Science 179
Countries citing papers authored by Jun Xie
This map shows the geographic impact of Jun Xie'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 Jun Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xie more than expected).
Fields of papers citing papers by Jun Xie
This network shows the impact of papers produced by Jun Xie. 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 Jun Xie. The network helps show where Jun Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xie, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 333 | |
| 2 | 2019 | 211 | |
| 3 | 2010 | 171 | |
| 4 | 2005 | 147 | |
| 5 | 2008 | 96 | |
| 6 | 2008 | 95 | |
| 7 | 2010 | 76 | |
| 8 | 1998 | 72 | |
| 9 | 2013 | 60 | |
| 10 | 2019 | 58 | |
| 11 | 2007 | 55 | |
| 12 | 2014 | 54 | |
| 13 | 2006 | 52 | |
| 14 | 2022 | 47 | |
| 15 | 1997 | 46 | |
| 16 | 2017 | 43 | |
| 17 | 2021 | 41 | |
| 18 | 2018 | 38 | |
| 19 | 2012 | 38 | |
| 20 | 2017 | 35 |
About Jun Xie
Jun Xie is a scholar working on Molecular Biology, Genetics, Immunology, Statistics and Probability and Pollution, having authored 129 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Gene expression and cancer classification (10 papers), Advanced Proteomics Techniques and Applications (7 papers), Genetic Associations and Epidemiology (6 papers), Machine Learning in Bioinformatics (6 papers), Genetic and phenotypic traits in livestock (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Endocrinology (223 citations), Statistics and Probability (208 citations), Pollution (216 citations), Reproductive Medicine (130 citations) and Insect Science (179 citations). Jun Xie has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chaofeng Liu, Yaowu Liu, Mengchang He, Xiaofei Lu, Jianhong Xi, Xiangqin Wang, Said A. Ghabrial, You‐Liang Peng, Guoqing Li and Yànpíng Fù. Their work appears in journals such as HLA, Scientific Reports, Insect Molecular Biology, Journal of Computational Biology and Frontiers in Public Health.
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.