Julia Xu
Impact in
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- Medical Coding and Health Information
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 30
- Hemoglobinopathies and Related Disorders 29
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- Biomedical Text Mining and Ontologies 17
- Co-authors
- Kin Wah Fung (14 shared papers)Swee Lay Thein (9 shared papers)Olivier Bodenreider (4 shared papers)James Geller (6 shared papers)Yehoshua Perl (3 shared papers)Markus J. Herrgård (1 shared paper)Lars Schrübbers (1 shared paper)Marilyn J. Telen (6 shared papers)
- Journals
- Blood (21 papers)Journal of the American Medical Informatics Association (7 papers)Journal of Biomedical Informatics (3 papers)BMC Public Health (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Julia Xu
50 papers receiving 400 citations
Peers
Comparison fields: 5 of 96
- Health Information Management 73
- Genetics 154
- Hematology 118
- Medical Terminology 2
- Pediatrics, Perinatology and Child Health 53
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2022 | 47 | |
| 3 | 2019 | 46 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 23 | |
| 6 | 2015 | 16 | |
| 7 | 2012 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2012 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 6 | |
| 20 | The Use of Inter-terminology Maps for the Creation and Maintenance of Value Sets. | 2019 | 6 |
About Julia Xu
Julia Xu is a scholar working on Genetics, Molecular Biology, Hematology, Health Information Management and Artificial Intelligence, having authored 58 papers that have together received 413 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (29 papers), Biomedical Text Mining and Ontologies (17 papers), Iron Metabolism and Disorders (13 papers), Medical Coding and Health Information (12 papers), Erythrocyte Function and Pathophysiology (8 papers), Semantic Web and Ontologies (7 papers), Blood groups and transfusion (7 papers) and Clinical practice guidelines implementation (5 papers). The work is most often cited by research in Health Information Management (73 citations), Genetics (154 citations), Hematology (118 citations), Medical Terminology (2 citations) and Pediatrics, Perinatology and Child Health (53 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, Yehoshua Perl, Markus J. Herrgård, Lars Schrübbers, Marilyn J. Telen, Hanne Bjerre Christensen and Douglas McCloskey. Their work appears in journals such as Blood, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, BMC Public Health 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.