Xiuli An
Impact in
- Genetics top 0.5%
- Hemoglobinopathies and Related Disorders
- Hematology top 0.5%
- Iron Metabolism and Disorders
- Blood groups and transfusion
Papers in
- Physiology 95
- Erythrocyte Function and Pathophysiology 95
-
- Epigenetics and DNA Methylation 15
- RNA modifications and cancer 11
- Co-authors
- Narla Mohandas (95 shared papers)Joel Anne Chasis (9 shared papers)Xinhua Guo (31 shared papers)Jing Liu (22 shared papers)Jing Liu (3 shared papers)Lixiang Chen (25 shared papers)Walter Gratzer (13 shared papers)Fumin Xue (6 shared papers)
- Journals
- Blood (50 papers)Journal of Biological Chemistry (9 papers)Biochemistry (6 papers)Proceedings of the National Academy of Sciences (5 papers)Blood Advances (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiuli An
151 papers receiving 6.5k citations
Xiuli An's Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 1.4k
- Hematology 1.3k
- Physiology 2.8k
- Cell Biology 711
- Immunology 822
Countries citing papers authored by Xiuli An
This map shows the geographic impact of Xiuli An'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 Xiuli An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuli An more than expected).
Fields of papers citing papers by Xiuli An
This network shows the impact of papers produced by Xiuli An. 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 Xiuli An. The network helps show where Xiuli An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiuli An, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 390 | |
| 2 | 2013 | 257 | |
| 3 | Intrinsic Immunity Shapes Viral Resistance of Stem Cells Hit paper breakdown → | 2017 | 256 |
| 4 | 2014 | 248 | |
| 5 | 2008 | 227 | |
| 6 | 2008 | 200 | |
| 7 | 2013 | 186 | |
| 8 | 2010 | 172 | |
| 9 | 2014 | 135 | |
| 10 | 2009 | 133 | |
| 11 | 2022 | 130 | |
| 12 | 2009 | 125 | |
| 13 | 2014 | 124 | |
| 14 | 2019 | 117 | |
| 15 | 2014 | 116 | |
| 16 | 2007 | 108 | |
| 17 | 2012 | 102 | |
| 18 | 2019 | 96 | |
| 19 | 2003 | 90 | |
| 20 | 2005 | 84 |
About Xiuli An
Xiuli An is a scholar working on Physiology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 155 papers that have together received 6.5k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (95 papers), Hemoglobinopathies and Related Disorders (39 papers), Blood properties and coagulation (33 papers), Epigenetics and DNA Methylation (15 papers), Blood groups and transfusion (13 papers), Pancreatic function and diabetes (11 papers), RNA modifications and cancer (11 papers) and Neonatal Health and Biochemistry (10 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (1.3k citations), Physiology (2.8k citations), Cell Biology (711 citations) and Immunology (822 citations). Xiuli An has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Narla Mohandas, Joel Anne Chasis, Xinhua Guo, Jing Liu, Jing Liu, Lixiang Chen, Walter Gratzer, Fumin Xue, Ke Chen and Susanne Heck. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences and Blood Advances.
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.