Julia Xu
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
-
- Medical Coding and Health Information
Papers in
- Genetics 32
- Hemoglobinopathies and Related Disorders 31
- Hematology 18
- Iron Metabolism and Disorders 10
- Blood groups and transfusion 8
- Co-authors
- Kin Wah Fung (13 shared papers)Swee Lay Thein (10 shared papers)Olivier Bodenreider (4 shared papers)James Geller (6 shared papers)Marilyn J. Telen (6 shared papers)Sean T. Chen (2 shared papers)Allison E. Ashley‐Koch (2 shared papers)Douglas McCloskey (1 shared paper)
- Journals
- Blood (23 papers)Journal of the American Medical Informatics Association (7 papers)Journal of Biomedical Informatics (3 papers)Redox Biology (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Julia Xu
53 papers receiving 441 citations
Peers
Comparison fields: 5 of 90
- Genetics 162
- Health Information Management 65
- Hematology 97
- Medical Terminology 2
- Physiology 60
Countries citing papers authored by Julia Xu
This map shows the geographic impact of Julia Xu'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 Julia Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Xu more than expected).
Fields of papers citing papers by Julia Xu
This network shows the impact of papers produced by Julia Xu. 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 Julia Xu. The network helps show where Julia Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Xu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2022 | 51 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 27 | |
| 5 | 2018 | 25 | |
| 6 | 2015 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2012 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2012 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 1999 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2020 | 6 |
About Julia Xu
Julia Xu is a scholar working on Genetics, Hematology, Molecular Biology, Health Information Management and Physiology, having authored 62 papers that have together received 453 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (31 papers), Biomedical Text Mining and Ontologies (11 papers), Iron Metabolism and Disorders (10 papers), Medical Coding and Health Information (10 papers), Erythrocyte Function and Pathophysiology (8 papers), Blood groups and transfusion (8 papers), Semantic Web and Ontologies (4 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Genetics (162 citations), Health Information Management (65 citations), Hematology (97 citations), Medical Terminology (2 citations) and Physiology (60 citations). Julia Xu has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Kin Wah Fung, Swee Lay Thein, Olivier Bodenreider, James Geller, Marilyn J. Telen, Sean T. Chen, Allison E. Ashley‐Koch, Douglas McCloskey, Filip Ameye and Hanne Bjerre Christensen. Their work appears in journals such as Blood, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Redox Biology and BMC Medical Informatics and Decision Making.
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.