Ning Shang
- Health Information Management top 0.5%
- Molecular Biology
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Epidemiology
- Co-authors
- Patrick RyanChunhua WengSiaw‐Teng LiawErin HolveLisa M. SchillingSteve JohnsonToan C. OngJuliana Barnard
- Topics
- Biomedical Text Mining and Ontologies (8 papers)Machine Learning in Healthcare (4 papers)Topic Modeling (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American Society of Nephrology
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Ning Shang
19 papers receiving 737 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Health Information Management 220
- Molecular Biology 215
- Artificial Intelligence 209
- Management Science and Operations Research 155
- Epidemiology 112
Countries citing papers authored by Ning Shang
This map shows the geographic impact of Ning Shang'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 Ning Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Shang more than expected).
Fields of papers citing papers by Ning Shang
This network shows the impact of papers produced by Ning Shang. 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 Ning Shang. The network helps show where Ning Shang may publish in the future.
Co-authorship network of co-authors of Ning Shang
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Shang. A scholar is included among the top collaborators of Ning Shang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ning Shang. Ning Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 23 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 28 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 30 | |
| 12 | Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives. | 2 |
| 13 | 30 | |
| 14 | 99 | |
| 15 | 11 | |
| 16 | 43 | |
| 17 | A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Databreakdown → | 347 |
| 18 | Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships. | 12 |
| 19 | 2 | |
| 20 | 47 |
About Ning Shang
Ning Shang is a scholar working on Health Information Management, Toxicology and Nephrology, having authored 22 papers that have together received 748 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Machine Learning in Healthcare (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Information Management (220 citations), Health Informatics (43 citations) and Management Science and Operations Research (155 citations). Ning Shang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Patrick Ryan, Chunhua Weng, Siaw‐Teng Liaw, Erin Holve, Lisa M. Schilling, Steve Johnson, Toan C. Ong, Juliana Barnard, Jeffrey S. Brown and Bruce N. Davidson. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Society of Nephrology.
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.