Alex M. Glazer
- Co-authors
- Darrell S. RigelAaron S. FarbergRichard R. WinkelmannRichard M. WhiteJustin W. MarsonNicholas BrownstoneBrian J. MartinClay J. Cockerell
- Topics
- Cutaneous Melanoma Detection and Management (17 papers)Nonmelanoma Skin Cancer Studies (7 papers)Cutaneous lymphoproliferative disorders research (6 papers)
- Cited by
- DermatologyOncologyBiophysics
- Partner nations
- United States
In The Last Decade
Alex M. Glazer
23 papers receiving 244 citations
Peers
Comparison fields: 5 of 66
- Oncology 184
- Molecular Biology 86
- Epidemiology 72
- Dermatology 63
- Artificial Intelligence 29
Countries citing papers authored by Alex M. Glazer
This map shows the geographic impact of Alex M. Glazer'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 Alex M. Glazer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex M. Glazer more than expected).
Fields of papers citing papers by Alex M. Glazer
This network shows the impact of papers produced by Alex M. Glazer. 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 Alex M. Glazer. The network helps show where Alex M. Glazer may publish in the future.
Co-authorship network of co-authors of Alex M. Glazer
This figure shows the co-authorship network connecting the top 25 collaborators of Alex M. Glazer. A scholar is included among the top collaborators of Alex M. Glazer 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 Alex M. Glazer. Alex M. Glazer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Factors Affecting Dermatologists' Use of a 31-Gene Expression Profiling Test as an Adjunct for Predicting Metastatic Risk in Cutaneous Melanoma. | 9 |
| 9 | Enhanced melanoma diagnosis with multispectral digital skin lesion analysis. | 3 |
| 10 | 6 | |
| 11 | Management Decisions Made by Physician Assistants and Nurse Practitioners in Cutaneous Malignant Melanoma Patients: Impact of a 31-Gene Expression Profile Test | 4 |
| 12 | 8 | |
| 13 | 4 | |
| 14 | Impact of a 31-gene Expression Profiling Test for Cutaneous Melanoma on Dermatologists' Clinical Management Decisions. | 22 |
| 15 | 36 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 10 | |
| 19 | Successful Treatment of Generalized Essential Telangiectasia With 6-Mercaptopurine. | 3 |
| 20 | 5 |
About Alex M. Glazer
Alex M. Glazer is a scholar working on Dermatology, Oncology and Biophysics, having authored 23 papers that have together received 254 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), Nonmelanoma Skin Cancer Studies (7 papers) and Cutaneous lymphoproliferative disorders research (6 papers). The work is most often cited by research in Dermatology (63 citations), Oncology (184 citations) and Biophysics (22 citations). Alex M. Glazer has collaborated with scholars based in United States. Frequent co-authors include Darrell S. Rigel, Aaron S. Farberg, Richard R. Winkelmann, Richard M. White, Justin W. Marson, Nicholas Brownstone, Brian J. Martin, Clay J. Cockerell, Sancy A. Leachman and Orit Markowitz. Their work appears in journals such as Journal of the American Academy of Dermatology, Dermatologic Surgery and JAMA Dermatology.
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.