Xuemei Jia
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Infectious Diseases top 5%
- Immunology top 10%
- Topics
- Cancer-related molecular mechanisms research (26 papers)RNA modifications and cancer (18 papers)MicroRNA in disease regulation (18 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xuemei Jia
124 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.5k
- Cancer Research 982
- Oncology 481
- Infectious Diseases 383
- Immunology 345
Countries citing papers authored by Xuemei Jia
This map shows the geographic impact of Xuemei 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 Xuemei Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuemei Jia more than expected).
Fields of papers citing papers by Xuemei Jia
This network shows the impact of papers produced by Xuemei 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 Xuemei Jia. The network helps show where Xuemei Jia may publish in the future.
Co-authorship network of co-authors of Xuemei Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Xuemei Jia. A scholar is included among the top collaborators of Xuemei Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuemei Jia. Xuemei Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 93 | |
| 10 | 4 | |
| 11 | 28 | |
| 12 | Women May Play a More Important Role in the Transmission of the Corona Virus Disease (COVID-19) than Men | 6 |
| 13 | Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, Chinabreakdown → | 461 |
| 14 | 7 | |
| 15 | 0 | |
| 16 | Leaf nutritional diagnosis of Powell navel orange at flowering stage in Chongqing Three Gorges Reservoir Area. | 1 |
| 17 | 1 | |
| 18 | 30 | |
| 19 | 7 | |
| 20 | 40 |
About Xuemei Jia
Xuemei Jia is a scholar working on Cancer Research, Reproductive Medicine and Molecular Biology, having authored 131 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (18 papers) and MicroRNA in disease regulation (18 papers). The work is most often cited by research in Cancer Research (982 citations), Molecular Biology (1.5k citations) and Infectious Diseases (383 citations). Xuemei Jia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Juan Xu, Jiali Xu, Dayong Yang, Chi Yao, Chun Lu, Daping Fan, Shou‐Jiang Gao, Pengfei Xu, Stephen Iwanowycz and Fang Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.