Wayne L. Harper
About
In The Last Decade
Wayne L. Harper
2 papers receiving 231 citations
Peers
Comparison fields: 5 of 38
- Surgery 171
- Endocrinology, Diabetes and Metabolism 113
- Pulmonary and Respiratory Medicine 58
- Oncology 57
- Cardiology and Cardiovascular Medicine 39
Countries citing papers authored by Wayne L. Harper
This map shows the geographic impact of Wayne L. Harper'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 Wayne L. Harper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne L. Harper more than expected).
Fields of papers citing papers by Wayne L. Harper
This network shows the impact of papers produced by Wayne L. Harper. 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 Wayne L. Harper. The network helps show where Wayne L. Harper may publish in the future.
Co-authorship network of co-authors of Wayne L. Harper
This figure shows the co-authorship network connecting the top 25 collaborators of Wayne L. Harper. A scholar is included among the top collaborators of Wayne L. Harper 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 Wayne L. Harper. Wayne L. Harper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 182 |
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.