Fang Xia
- Molecular Biology top 5%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Dario C. AltieriTakehiko DohiQiong ChenKazuya OkadaTemesgen SamuelJohn C. ReedHiroyuki MarusawaKate Welsh
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers)Pulmonary Hypertension Research and Treatments (7 papers)Cell death mechanisms and regulation (6 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Fang Xia
117 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.7k
- Oncology 530
- Pulmonary and Respiratory Medicine 410
- Cancer Research 385
- Immunology 380
Countries citing papers authored by Fang Xia
This map shows the geographic impact of Fang 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 Fang Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Xia more than expected).
Fields of papers citing papers by Fang Xia
This network shows the impact of papers produced by Fang 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 Fang Xia. The network helps show where Fang Xia may publish in the future.
Co-authorship network of co-authors of Fang Xia
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Xia. A scholar is included among the top collaborators of Fang Xia 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 Fang Xia. Fang Xia 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 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | Identification of Key Genes Associated with Changes in the Host Response to Severe Burn Shock: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database | 1 |
| 10 | 56 | |
| 11 | 62 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 87 | |
| 15 | 12 | |
| 16 | Effect of prepregnant body mass index on pregnancy complications and outcomes | 2 |
| 17 | 118 | |
| 18 | Is there a relationship between early statin compliance and a reduction in healthcare utilization? | 51 |
| 19 | The characteristics of ambulatory pulse pressure and pulse pressure index of patients with white coat hypertension | 1 |
| 20 | Clinical evaluation of gatifloxacin treatment for 7 days in 43 patients with acute urinary tract infection | 1 |
About Fang Xia
Fang Xia is a scholar working on Developmental Biology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Pulmonary Hypertension Research and Treatments (7 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Cancer Research (385 citations), Molecular Biology (1.7k citations) and Oncology (530 citations). Fang Xia has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Dario C. Altieri, Takehiko Dohi, Qiong Chen, Kazuya Okada, Temesgen Samuel, John C. Reed, Hiroyuki Marusawa, Kate Welsh, Robert Armstrong and Guy S. Salvesen. Their work appears in journals such as Cell, Journal of Biological Chemistry and Circulation.
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.