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 9
- RNA modifications and cancer 6
-
- Thyroid Cancer Diagnosis and Treatment 17
- Co-authors
- Xinying Li (15 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 Medicine (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Fada Xia
49 papers receiving 580 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 268
- Endocrinology, Diabetes and Metabolism 147
- Anesthesiology and Pain Medicine 27
- Molecular Biology 320
- Anatomy 5
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | 2020 | 43 | |
| 3 | 2017 | 38 | |
| 4 | 2019 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2014 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2020 | 18 | |
| 15 | 2014 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 11 |
About Fada Xia
Fada Xia is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Oncology, having authored 50 papers that have together received 582 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Thyroid and Parathyroid Surgery (14 papers), MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers), Ferroptosis and cancer prognosis (9 papers), Circular RNAs in diseases (9 papers), RNA modifications and cancer (6 papers) and Airway Management and Intubation Techniques (4 papers). The work is most often cited by research in Cancer Research (268 citations), Endocrinology, Diabetes and Metabolism (147 citations), Anesthesiology and Pain Medicine (27 citations), Molecular Biology (320 citations) and Anatomy (5 citations). Fada Xia has collaborated with scholars based in China and United States. Frequent co-authors include Xinying Li, Bo Jiang, Xinying Li, Ning Bai, Yong Chen, Yuanliang Yan, Zeyu Zhang, Zeyu Zhang, Wenlong Wang and Hongxi Chen. Their work appears in journals such as Frontiers in Endocrinology, World Journal of Surgical Oncology, Frontiers in Cell and Developmental Biology, Frontiers in Medicine and Frontiers in Genetics.
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.