Xun Che
Impact in
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Ubiquitin and proteasome pathways 3
-
- Chemical Thermodynamics and Molecular Structure 2
- Co-authors
- Chuanshu Huang (7 shared papers)Xiang Hu (1 shared paper)Hong Huo (1 shared paper)Weidong Huang (1 shared paper)Hongwei Guan (1 shared paper)Rainer Eckel (1 shared paper)Wei Dai (5 shared papers)Haishan Huang (4 shared papers)
- Journals
- Analytical Chemistry (2 papers)Oncotarget (2 papers)Oncogene (2 papers)Autophagy (1 paper)Genes & Cancer (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xun Che
26 papers receiving 378 citations
Peers
Comparison fields: 5 of 105
- Biophysics 88
- Analytical Chemistry 65
- Cancer Research 77
- Molecular Biology 197
- Clinical Biochemistry 14
Countries citing papers authored by Xun Che
This map shows the geographic impact of Xun Che'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 Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Che more than expected).
Fields of papers citing papers by Xun Che
This network shows the impact of papers produced by Xun Che. 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 Che. The network helps show where Xun Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun Che, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 117 | |
| 2 | 2016 | 68 | |
| 3 | 2019 | 39 | |
| 4 | 2015 | 28 | |
| 5 | 2014 | 27 | |
| 6 | 2021 | 14 | |
| 7 | 2013 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 2013 | 9 | |
| 10 | 1999 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 1988 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2019 | 3 | |
| 18 | [Effect of dachaihutang on expression of carnitine patmitoryl transferase-1 in vascular smooth muscle layer of atherosclerotic rabbits]. | 2009 | 3 |
| 19 | 2025 | 2 | |
| 20 | Investigation of breast tumors of women with Fourier transform infrared spectrometry | 2001 | 2 |
About Xun Che
Xun Che is a scholar working on Molecular Biology, Organic Chemistry, Computer Vision and Pattern Recognition, Oncology and Artificial Intelligence, having authored 31 papers that have together received 384 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Autophagy in Disease and Therapy (3 papers), Ubiquitin and proteasome pathways (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Cancer, Lipids, and Metabolism (2 papers), Toxic Organic Pollutants Impact (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Biophysics (88 citations), Analytical Chemistry (65 citations), Cancer Research (77 citations), Molecular Biology (197 citations) and Clinical Biochemistry (14 citations). Xun Che has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chuanshu Huang, Xiang Hu, Hong Huo, Weidong Huang, Hongwei Guan, Rainer Eckel, Wei Dai, Haishan Huang, Junlan Zhu and Chao Huang. Their work appears in journals such as Analytical Chemistry, Oncotarget, Oncogene, Autophagy and Genes & Cancer.
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.