Janey Wang
Impact in
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- Regulation of Appetite and Obesity
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- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 3
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- Diet and metabolism studies 2
- Co-authors
- Peter T. Fox (3 shared papers)Srikanth Mahankali (3 shared papers)Jia Gao (1 shared paper)Masafumi Matsuda (1 shared paper)Yiqiong Pu (1 shared paper)Archana Mahankali (1 shared paper)Ralph A. DeFronzo (1 shared paper)Paul A. Harris (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (2 papers)Neurosurgery (2 papers)Genetics in Medicine (2 papers)Magnetic Resonance in Medicine (2 papers)Diabetes (1 paper)
- Partner nations
- United StatesJapanPuerto Rico
In The Last Decade
Janey Wang
16 papers receiving 615 citations
Peers
Comparison fields: 5 of 99
- Endocrine and Autonomic Systems 146
- Health Information Management 30
- Physiology 111
- Nutrition and Dietetics 56
- Computational Mathematics 2
Countries citing papers authored by Janey Wang
This map shows the geographic impact of Janey 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 Janey Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janey Wang more than expected).
Fields of papers citing papers by Janey Wang
This network shows the impact of papers produced by Janey 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 Janey Wang. The network helps show where Janey Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Janey 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 | 1999 | 230 | |
| 2 | 2012 | 199 | |
| 3 | 2011 | 88 | |
| 4 | 2000 | 25 | |
| 5 | 2004 | 20 | |
| 6 | Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects. | 2011 | 16 |
| 7 | 2021 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2012 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 6 | |
| 12 | Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects | 2013 | 6 |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2000 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2023 | 0 |
About Janey Wang
Janey Wang is a scholar working on Molecular Biology, Physiology, Oncology, General Health Professions and Endocrine and Autonomic Systems, having authored 18 papers that have together received 634 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Biomedical Text Mining and Ontologies (3 papers), Protease and Inhibitor Mechanisms (2 papers), Regulation of Appetite and Obesity (2 papers), Diet and metabolism studies (2 papers), Stress Responses and Cortisol (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Health and Medical Research Impacts (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (146 citations), Health Information Management (30 citations), Physiology (111 citations), Nutrition and Dietetics (56 citations) and Computational Mathematics (2 citations). Janey Wang has collaborated with scholars based in United States, Japan and Puerto Rico. Frequent co-authors include Peter T. Fox, Srikanth Mahankali, Jia Gao, Masafumi Matsuda, Yiqiong Pu, Archana Mahankali, Ralph A. DeFronzo, Paul A. Harris, José G. Conde and Michael Lin. Their work appears in journals such as Journal of the American Medical Informatics Association, Neurosurgery, Genetics in Medicine, Magnetic Resonance in Medicine and Diabetes.
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.