Melissa McNeil
- General Health Professions top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Oncology
- Genetics
- Co-authors
- Kevin L. KraemerJoseph ConigliaroStephen A. MaistoMary E. KelleySonya BorreroIrina KarpovMegan McNamaraJennifer Corbelli
- Topics
- Innovations in Medical Education (6 papers)Global Cancer Incidence and Screening (4 papers)Clinical Reasoning and Diagnostic Skills (4 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Melissa McNeil
24 papers receiving 383 citations
Peers
Comparison fields: 5 of 79
- General Health Professions 131
- Epidemiology 105
- Public Health, Environmental and Occupational Health 96
- Oncology 79
- Genetics 56
Countries citing papers authored by Melissa McNeil
This map shows the geographic impact of Melissa McNeil'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 Melissa McNeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa McNeil more than expected).
Fields of papers citing papers by Melissa McNeil
This network shows the impact of papers produced by Melissa McNeil. 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 Melissa McNeil. The network helps show where Melissa McNeil may publish in the future.
Co-authorship network of co-authors of Melissa McNeil
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa McNeil. A scholar is included among the top collaborators of Melissa McNeil 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 Melissa McNeil. Melissa McNeil 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 32 | |
| 11 | 6 | |
| 12 | 40 | |
| 13 | 46 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | The Diagnostic Importance of the History and Physical Examination as Determined by the Use of a Medical Decision Support System | 7 |
| 20 | User Variability in Abstracting and Entering Printed Case Histories with QUICK MEDICAL REFERENCE (QMR). | 12 |
About Melissa McNeil
Melissa McNeil is a scholar working on Family Practice, Medical Laboratory Technology and Health Information Management, having authored 27 papers that have together received 400 indexed citations. Recurring topics across this work include Innovations in Medical Education (6 papers), Global Cancer Incidence and Screening (4 papers) and Clinical Reasoning and Diagnostic Skills (4 papers). The work is most often cited by research in Family Practice (22 citations), General Health Professions (131 citations) and Applied Psychology (19 citations). Melissa McNeil has collaborated with scholars based in United States and Australia. Frequent co-authors include Kevin L. Kraemer, Joseph Conigliaro, Stephen A. Maisto, Mary E. Kelley, Sonya Borrero, Irina Karpov, Megan McNamara, Jennifer Corbelli, Carla L. Spagnoletti and Doris M. Rubio. Their work appears in journals such as Annals of Internal Medicine, Journal of General Internal Medicine and Psychological Assessment.
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.