Susan Weber
Impact in
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- Electronic Health Records Systems 3
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- Hepatitis C virus research 4
- Liver Disease and Transplantation 3
Susan Weber
21 papers receiving 618 citations
Peers
Comparison fields: 5 of 106
- Health Information Management 116
- Health Informatics 12
- Hepatology 58
- Information Systems and Management 32
- Management Science and Operations Research 52
Countries citing papers authored by Susan Weber
This map shows the geographic impact of Susan Weber'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 Susan Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Weber more than expected).
Fields of papers citing papers by Susan Weber
This network shows the impact of papers produced by Susan Weber. 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 Susan Weber. The network helps show where Susan Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Weber, 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 | 2023 | 11 | |
| 2 | 2021 | 8 | |
| 3 | 2018 | 22 | |
| 4 | 2017 | 15 | |
| 5 | 2017 | 3 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 1 | |
| 9 | 2013 | 47 | |
| 10 | Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research. | 2012 | 27 |
| 11 | 2012 | 13 | |
| 12 | Implementing a Real-time Complex Event Stream Processing System to Help Identify Potential Participants in Clinical and Translational Research Studies. | 2010 | 8 |
| 13 | Managing Medical Vocabulary Updates in a Clinical Data Warehouse: An RxNorm Case Study. | 2010 | 4 |
| 14 | Automated mapping of pharmacy orders from two electronic health record systems to RxNorm within the STRIDE clinical data warehouse. | 2009 | 27 |
| 15 | STRIDE--An integrated standards-based translational research informatics platform. | 2009 | 329 |
| 16 | Clinical arrays of laboratory measures, or "clinarrays", built from an electronic health record enable disease subtyping by severity. | 2007 | 13 |
| 17 | 2007 | 15 | |
| 18 | 1994 | 13 | |
| 19 | USA by Numbers: A Statistical Portrait of the United States. | 1988 | 2 |
| 20 | Avoiding Sex Role Stereotypes in Advertising: What Questions Should We Ask? | 1984 | 0 |
About Susan Weber
Susan Weber is a scholar working on Health Information Management, Hepatology, Museology, Information Systems and Management and Genetics, having authored 22 papers that have together received 634 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Bioinformatics and Genomic Networks (4 papers), Hepatitis C virus research (4 papers), Gene expression and cancer classification (4 papers), Liver Disease and Transplantation (3 papers), Electronic Health Records Systems (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Health Information Management (116 citations), Health Informatics (12 citations), Hepatology (58 citations), Information Systems and Management (32 citations) and Management Science and Operations Research (52 citations). Susan Weber has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Henry Lowe, Todd Ferris, Atul J. Butte, Allison W. Kurian, Li Li, David Ruau, An K. Le, Tina Seto, Joseph Hoang and Mindie H. Nguyen. Their work appears in journals such as BMJ Open Gastroenterology, Gastroenterology, Cancer, Blood and Science Translational 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.