Fada Xia
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Thyroid Cancer Diagnosis and Treatment
Papers in
-
- Circular RNAs in diseases 10
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- Surgery 15
- Thyroid and Parathyroid Surgery 14
- Co-authors
- Xinying Li (14 shared papers)Bo Jiang (10 shared papers)Xinying Li (19 shared papers)Ning Bai (6 shared papers)Yong Chen (5 shared papers)Yuanliang Yan (8 shared papers)Zeyu Zhang (6 shared papers)Wenlong Wang (3 shared papers)
- Journals
- Frontiers in Endocrinology (7 papers)World Journal of Surgical Oncology (4 papers)Frontiers in Cell and Developmental Biology (3 papers)Frontiers in Genetics (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Fada Xia
50 papers receiving 609 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 212
- Endocrinology, Diabetes and Metabolism 72
- Molecular Biology 274
- Surgery 119
- Pulmonary and Respiratory Medicine 66
Countries citing papers authored by Fada Xia
This map shows the geographic impact of Fada Xia'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 Fada Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fada Xia more than expected).
Fields of papers citing papers by Fada Xia
This network shows the impact of papers produced by Fada Xia. 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 Fada Xia. The network helps show where Fada Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Fada Xia, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 54 | |
| 2 | 2020 | 43 | |
| 3 | 2017 | 39 | |
| 4 | 2019 | 26 | |
| 5 | 2021 | 26 | |
| 6 | 2014 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2022 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2025 | 12 | |
| 20 | 2022 | 11 |
About Fada Xia
Fada Xia is a scholar working on Molecular Biology, Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 611 indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (14 papers), Circular RNAs in diseases (10 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers), Ferroptosis and cancer prognosis (8 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (212 citations), Endocrinology, Diabetes and Metabolism (72 citations), Molecular Biology (274 citations), Surgery (119 citations) and Pulmonary and Respiratory Medicine (66 citations). Fada Xia has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Xinying Li, Bo Jiang, Xinying Li, Ning Bai, Yong Chen, Yuanliang Yan, Zeyu Zhang, Wenlong Wang, Zeyu Zhang and Yun Huang. Their work appears in journals such as Frontiers in Endocrinology, World Journal of Surgical Oncology, Frontiers in Cell and Developmental Biology, Frontiers in Genetics and Frontiers in Pharmacology.
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.