Tanxi Cai
Impact in
- Aging top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Extracellular vesicles in disease 6
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 3
- Metabolomics and Mass Spectrometry Studies 3
-
- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Fuquan Yang (33 shared papers)Zhensheng Xie (20 shared papers)Xiulan Chen (16 shared papers)Lili Niu (13 shared papers)Jifeng Wang (11 shared papers)Junjie Hou (8 shared papers)Xiaojing Guo (11 shared papers)Jing Feng (2 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Molecular & Cellular Proteomics (4 papers)PROTEOMICS (3 papers)iScience (2 papers)Journal of Extracellular Vesicles (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tanxi Cai
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Aging 30
- Cancer Research 256
- Molecular Biology 960
- Neurology 87
- Spectroscopy 172
Countries citing papers authored by Tanxi Cai
This map shows the geographic impact of Tanxi Cai'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 Tanxi Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanxi Cai more than expected).
Fields of papers citing papers by Tanxi Cai
This network shows the impact of papers produced by Tanxi Cai. 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 Tanxi Cai. The network helps show where Tanxi Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanxi Cai, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2016 | 124 | |
| 3 | 2014 | 105 | |
| 4 | 2017 | 98 | |
| 5 | 2016 | 81 | |
| 6 | 2013 | 71 | |
| 7 | 2020 | 62 | |
| 8 | 2020 | 50 | |
| 9 | 2009 | 49 | |
| 10 | 2009 | 48 | |
| 11 | 2016 | 39 | |
| 12 | 2011 | 37 | |
| 13 | 2021 | 37 | |
| 14 | 2020 | 36 | |
| 15 | 2021 | 34 | |
| 16 | 2014 | 33 | |
| 17 | 2009 | 31 | |
| 18 | 2023 | 27 | |
| 19 | 2014 | 27 | |
| 20 | 2016 | 26 |
About Tanxi Cai
Tanxi Cai is a scholar working on Molecular Biology, Spectroscopy, Genetics, Oncology and Physiology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Genomics and Phylogenetic Studies (3 papers), Pancreatic function and diabetes (3 papers), Machine Learning in Bioinformatics (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Aging (30 citations), Cancer Research (256 citations), Molecular Biology (960 citations), Neurology (87 citations) and Spectroscopy (172 citations). Tanxi Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuquan Yang, Zhensheng Xie, Xiulan Chen, Lili Niu, Jifeng Wang, Junjie Hou, Xiaojing Guo, Jing Feng, Xiyun Yan and Ziyou Cui. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, PROTEOMICS, iScience and Journal of Extracellular Vesicles.
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.