Amy Wang
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
-
- Diet, Metabolism, and Disease
Papers in
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- Biomedical Text Mining and Ontologies 7
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- linguistics and terminology studies 4
- Co-authors
- Zhenxiang Liu (1 shared paper)Sanjay Bhanot (1 shared paper)Mario Kahn (1 shared paper)Sara A. Beddow (1 shared paper)Brett P. Monia (1 shared paper)John G. Geisler (1 shared paper)Varman T. Samuel (1 shared paper)Xianman Zhang (1 shared paper)
- Journals
- Nature Communications (1 paper)Genome biology (1 paper)Spinal Cord (1 paper)Journal of Clinical Investigation (1 paper)Molecular Endocrinology (1 paper)
- Partner nations
- United StatesNetherlandsPhilippines
In The Last Decade
Amy Wang
18 papers receiving 865 citations
Peers
Comparison fields: 5 of 112
- Biochemistry 68
- Endocrinology, Diabetes and Metabolism 136
- Epidemiology 216
- Molecular Biology 389
- Physiology 133
Countries citing papers authored by Amy Wang
This map shows the geographic impact of Amy Wang'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 Amy Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Wang more than expected).
Fields of papers citing papers by Amy Wang
This network shows the impact of papers produced by Amy Wang. 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 Amy Wang. The network helps show where Amy Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Wang, 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 | 2007 | 396 | |
| 2 | 2021 | 104 | |
| 3 | 2019 | 78 | |
| 4 | 2006 | 64 | |
| 5 | The SNOMED clinical terms development process: refinement and analysis of content. | 2002 | 51 |
| 6 | 2023 | 40 | |
| 7 | 1997 | 36 | |
| 8 | 2007 | 30 | |
| 9 | Mapping between SNOMED RT and Clinical terms version 3: a key component of the SNOMED CT development process. | 2001 | 28 |
| 10 | 2004 | 21 | |
| 11 | 2019 | 12 | |
| 12 | Interface terminologies: bridging the gap between theory and reality for Africa. | 2008 | 11 |
| 13 | Classifying Clinical Trial Eligibility Criteria to Facilitate Phased Cohort Identification Using Clinical Data Repositories. | 2017 | 6 |
| 14 | 2016 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2002 | 1 | |
| 17 | AllergyMap: An Open Source Corpus of Allergy Mention Normalizations. | 2020 | 1 |
| 18 | Culling a clinical terminology: a systematic approach to identifying problematic content. | 2001 | 1 |
| 19 | 2020 | 0 |
About Amy Wang
Amy Wang is a scholar working on Molecular Biology, Language and Linguistics, Artificial Intelligence, Electrical and Electronic Engineering and Health Information Management, having authored 19 papers that have together received 887 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), linguistics and terminology studies (4 papers), Semantic Web and Ontologies (3 papers), Medical and Biological Sciences (2 papers), Medical Research and Practices (2 papers), Data Quality and Management (2 papers), Electronic Health Records Systems (2 papers) and Advancements in Photolithography Techniques (2 papers). The work is most often cited by research in Biochemistry (68 citations), Endocrinology, Diabetes and Metabolism (136 citations), Epidemiology (216 citations), Molecular Biology (389 citations) and Physiology (133 citations). Amy Wang has collaborated with scholars based in United States, Netherlands and Philippines. Frequent co-authors include Zhenxiang Liu, Sanjay Bhanot, Mario Kahn, Sara A. Beddow, Brett P. Monia, John G. Geisler, Varman T. Samuel, Xianman Zhang, Gerald I. Shulman and Hongtao Liu. Their work appears in journals such as Nature Communications, Genome biology, Spinal Cord, Journal of Clinical Investigation and Molecular Endocrinology.
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.