May Moonan
About
In The Last Decade
May Moonan
3 papers receiving 68 citations
Peers
Comparison fields: 5 of 34
- Oncology 29
- Endocrinology, Diabetes and Metabolism 17
- Surgery 13
- Pharmacology 10
- Radiology, Nuclear Medicine and Imaging 10
Countries citing papers authored by May Moonan
This map shows the geographic impact of May Moonan'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 May Moonan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Moonan more than expected).
Fields of papers citing papers by May Moonan
This network shows the impact of papers produced by May Moonan. 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 May Moonan. The network helps show where May Moonan may publish in the future.
Co-authorship network of co-authors of May Moonan
This figure shows the co-authorship network connecting the top 25 collaborators of May Moonan. A scholar is included among the top collaborators of May Moonan 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 May Moonan. May Moonan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | Lapatinib and trastuzumab in combination with an aromatase inhibitor for the first-line treatment of metastatic hormone receptor positive breast cancr which over-expresses HER2 | 2 |
| 3 | 19 |
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.