Chenxi Jia
Impact in
- Ecological Modeling top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 6
- Ecology 18
- Avian ecology and behavior 9
- Co-authors
- Lingjun Li (19 shared papers)Zhimin He (6 shared papers)Wei Qi (6 shared papers)Christopher B. Lietz (4 shared papers)Qing Yu (3 shared papers)Fumin Lei (13 shared papers)Gang Song (13 shared papers)Yalin Cheng (8 shared papers)
- Journals
- Analytical Chemistry (6 papers)Journal of Proteome Research (5 papers)Molecular & Cellular Proteomics (4 papers)Molecular Biology and Evolution (4 papers)Journal of the American Society for Mass Spectrometry (4 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Chenxi Jia
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Ecological Modeling 105
- Cancer Research 296
- Spectroscopy 300
- Molecular Biology 976
- Ecology 290
Countries citing papers authored by Chenxi Jia
This map shows the geographic impact of Chenxi Jia'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 Chenxi Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxi Jia more than expected).
Fields of papers citing papers by Chenxi Jia
This network shows the impact of papers produced by Chenxi Jia. 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 Chenxi Jia. The network helps show where Chenxi Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxi Jia, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 242 | |
| 2 | 2017 | 150 | |
| 3 | 2018 | 116 | |
| 4 | 2013 | 99 | |
| 5 | 2010 | 80 | |
| 6 | 2019 | 75 | |
| 7 | 2019 | 59 | |
| 8 | 2011 | 58 | |
| 9 | 2009 | 56 | |
| 10 | 2007 | 55 | |
| 11 | 2021 | 48 | |
| 12 | 2012 | 43 | |
| 13 | 2021 | 41 | |
| 14 | 2011 | 40 | |
| 15 | 2020 | 39 | |
| 16 | 2018 | 37 | |
| 17 | 2013 | 32 | |
| 18 | 2018 | 32 | |
| 19 | 2017 | 31 | |
| 20 | 2012 | 30 |
About Chenxi Jia
Chenxi Jia is a scholar working on Molecular Biology, Ecology, Genetics, Spectroscopy and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Mass Spectrometry Techniques and Applications (11 papers), Advanced Proteomics Techniques and Applications (10 papers), Avian ecology and behavior (9 papers), Neurobiology and Insect Physiology Research (8 papers), Species Distribution and Climate Change (8 papers), Epigenetics and DNA Methylation (6 papers) and Ecology and Vegetation Dynamics Studies (6 papers). The work is most often cited by research in Ecological Modeling (105 citations), Cancer Research (296 citations), Spectroscopy (300 citations), Molecular Biology (976 citations) and Ecology (290 citations). Chenxi Jia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lingjun Li, Zhimin He, Wei Qi, Christopher B. Lietz, Qing Yu, Fumin Lei, Gang Song, Yalin Cheng, Yanhua Qu and Yue‐Hua Sun. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Molecular & Cellular Proteomics, Molecular Biology and Evolution and Journal of the American Society for Mass Spectrometry.
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.