Ying C. MacNab
- Epidemiology top 5%
- Economics and Econometrics top 2%
- Statistics and Probability top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- C. B. DeanPaul GustafsonShoo K. LeeSusan KennedySarah B. HendersonMichael BräuerErik D. SkarsgardMieke Koehoorn
- Topics
- Statistical Methods and Bayesian Inference (27 papers)Spatial and Panel Data Analysis (13 papers)Data-Driven Disease Surveillance (10 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Ying C. MacNab
75 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 156
- Epidemiology 514
- Economics and Econometrics 415
- Statistics and Probability 402
- Pediatrics, Perinatology and Child Health 382
- Public Health, Environmental and Occupational Health 350
Countries citing papers authored by Ying C. MacNab
This map shows the geographic impact of Ying C. MacNab'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 Ying C. MacNab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying C. MacNab more than expected).
Fields of papers citing papers by Ying C. MacNab
This network shows the impact of papers produced by Ying C. MacNab. 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 Ying C. MacNab. The network helps show where Ying C. MacNab may publish in the future.
Co-authorship network of co-authors of Ying C. MacNab
This figure shows the co-authorship network connecting the top 25 collaborators of Ying C. MacNab. A scholar is included among the top collaborators of Ying C. MacNab 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 Ying C. MacNab. Ying C. MacNab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | 104 | |
| 8 | 6 | |
| 9 | 93 | |
| 10 | 22 | |
| 11 | 44 | |
| 12 | 71 | |
| 13 | 71 | |
| 14 | 119 | |
| 15 | 43 | |
| 16 | 35 | |
| 17 | 49 | |
| 18 | 56 | |
| 19 | 77 | |
| 20 | 44 |
About Ying C. MacNab
Ying C. MacNab is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology and Economics and Econometrics, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Spatial and Panel Data Analysis (13 papers) and Data-Driven Disease Surveillance (10 papers). The work is most often cited by research in Statistics and Probability (402 citations), Obstetrics and Gynecology (205 citations) and Safety, Risk, Reliability and Quality (186 citations). Ying C. MacNab has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include C. B. Dean, Paul Gustafson, Shoo K. Lee, Susan Kennedy, Sarah B. Henderson, Michael Bräuer, Erik D. Skarsgard, Mieke Koehoorn, Trisalyn Nelson and Colin Robertson. Their work appears in journals such as PLoS ONE, American Journal of Epidemiology and American Journal of Public Health.
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.