Fang Xia
- Cancer Research top 5%
- Molecular Biology top 5%
- Cell death mechanisms and regulation 6
- Mitochondrial Function and Pathology 5
- Oncology top 5%
- Cancer-related Molecular Pathways 5
- Immunology top 10%
- Physiology top 10%
- Adipose Tissue and Metabolism 5
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 7
- Pulmonary Hypertension Research and Treatments 7
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- Liver Disease Diagnosis and Treatment 6
- Adipokines, Inflammation, and Metabolic Diseases 5
- Co-authors
- Dario C. AltieriTakehiko DohiQiong ChenKazuya OkadaTemesgen SamuelJohn C. ReedHiroyuki MarusawaKate Welsh
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Fang Xia
117 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 385
- Molecular Biology 1.7k
- Oncology 530
- Immunology 380
- Physiology 350
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
The 25 scholars most cited alongside Fang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 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 | 2020 | 1 |
| 10 | 2019 | 56 | |
| 11 | 2019 | 62 | |
| 12 | 2017 | 4 | |
| 13 | 2016 | 15 | |
| 14 | 2015 | 87 | |
| 15 | 2014 | 12 | |
| 16 | Effect of prepregnant body mass index on pregnancy complications and outcomes | 2012 | 2 |
| 17 | 2011 | 118 | |
| 18 | Is there a relationship between early statin compliance and a reduction in healthcare utilization? | 2010 | 51 |
| 19 | The characteristics of ambulatory pulse pressure and pulse pressure index of patients with white coat hypertension | 2008 | 1 |
| 20 | Clinical evaluation of gatifloxacin treatment for 7 days in 43 patients with acute urinary tract infection | 2007 | 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), Cell death mechanisms and regulation (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer-related Molecular Pathways (5 papers), Adipose Tissue and Metabolism (5 papers), Mitochondrial Function and Pathology (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 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.