Xia Xiao
Impact in
- Hematology top 2%
- Iron Metabolism and Disorders
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 31
- Iron Metabolism and Disorders 19
- Acute Myeloid Leukemia Research 6
- Co-authors
- Beng San Yeoh (24 shared papers)Matam Vijay–Kumar (24 shared papers)Vishal Singh (18 shared papers)Piu Saha (19 shared papers)Bina Joe (7 shared papers)Mingfeng Zhao (42 shared papers)Benoît Chassaing (5 shared papers)Andrew T. Gewirtz (4 shared papers)
- Journals
- Blood (13 papers)Journal of Chemotherapy (4 papers)The Journal of Immunology (4 papers)Frontiers in Immunology (4 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xia Xiao
140 papers receiving 3.3k citations
Xia Xiao's Hit Papers
Peers
Comparison fields: 5 of 136
- Hematology 413
- Genetics 303
- Nutrition and Dietetics 401
- Nephrology 129
- Immunology 384
Countries citing papers authored by Xia Xiao
This map shows the geographic impact of Xia Xiao'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 Xia Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Xiao more than expected).
Fields of papers citing papers by Xia Xiao
This network shows the impact of papers produced by Xia Xiao. 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 Xia Xiao. The network helps show where Xia Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Xiao, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dysregulated Microbial Fermentation of Soluble Fiber Induces Cholestatic Liver Cancer Hit paper breakdown → | 2018 | 420 |
| 2 | Lipocalin 2: An Emerging Player in Iron Homeostasis and Inflammation Hit paper breakdown → | 2017 | 298 |
| 3 | 2019 | 179 | |
| 4 | 2015 | 133 | |
| 5 | 2005 | 132 | |
| 6 | 2015 | 114 | |
| 7 | 2021 | 103 | |
| 8 | 2016 | 96 | |
| 9 | 2015 | 90 | |
| 10 | 2020 | 65 | |
| 11 | 2019 | 61 | |
| 12 | 2017 | 60 | |
| 13 | 2017 | 59 | |
| 14 | Amino acid is a major carbon source for hepatic lipogenesis Hit paper breakdown → | 2024 | 55 |
| 15 | 2023 | 54 | |
| 16 | 2017 | 51 | |
| 17 | 2008 | 49 | |
| 18 | 2017 | 46 | |
| 19 | 2016 | 42 | |
| 20 | 2020 | 42 |
About Xia Xiao
Xia Xiao is a scholar working on Molecular Biology, Hematology, Oncology, Nutrition and Dietetics and Immunology, having authored 152 papers that have together received 3.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (19 papers), CAR-T cell therapy research (17 papers), Trace Elements in Health (13 papers), Hemoglobinopathies and Related Disorders (12 papers), Acute Myeloid Leukemia Research (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Mesenchymal stem cell research (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Hematology (413 citations), Genetics (303 citations), Nutrition and Dietetics (401 citations), Nephrology (129 citations) and Immunology (384 citations). Xia Xiao has collaborated with scholars based in China, United States and India. Frequent co-authors include Beng San Yeoh, Matam Vijay–Kumar, Vishal Singh, Piu Saha, Bina Joe, Mingfeng Zhao, Benoît Chassaing, Andrew T. Gewirtz, Andrew D. Patterson and Jodie L. Babitt. Their work appears in journals such as Blood, Journal of Chemotherapy, The Journal of Immunology, Frontiers in Immunology and Medicine.
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.