Alex M. Glazer

628 total citations
23 papers, 254 citations indexed

About

Alex M. Glazer is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Alex M. Glazer has authored 23 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 11 papers in Dermatology and 8 papers in Epidemiology. Recurrent topics in Alex M. Glazer's work include Cutaneous Melanoma Detection and Management (17 papers), Nonmelanoma Skin Cancer Studies (7 papers) and Cutaneous lymphoproliferative disorders research (6 papers). Alex M. Glazer is often cited by papers focused on Cutaneous Melanoma Detection and Management (17 papers), Nonmelanoma Skin Cancer Studies (7 papers) and Cutaneous lymphoproliferative disorders research (6 papers). Alex M. Glazer collaborates with scholars based in United States. Alex M. Glazer's 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 and has published in prestigious journals such as Journal of the American Academy of Dermatology, Dermatologic Surgery and JAMA Dermatology.

In The Last Decade

Alex M. Glazer

23 papers receiving 244 citations

Peers

Alex M. Glazer

ONCOL

EPIDE

DERMA

Elena Tolomio Italy

Zuxu Yao United States

B. Aika Shoo United States

Pascale Guitera Australia

Serena Magi Italy

Alison Burton United States

JEFFREY K. McKENNA United States

Nicholas R. Kurtansky United States

Katharina Sies Germany

Johnny Slade United States

Elena Tolomio Italy

Alex M. Glazer

196 ×1.1

ONCOL

42 ×0.5

82 ×1.1

EPIDE

74 ×1.2

DERMA

30 ×1.0

Citations per year, relative to Alex M. Glazer Alex M. Glazer (= 1×) peers Elena Tolomio

Countries citing papers authored by Alex M. Glazer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Martin, Brian J., et al.. (2023). The Integrated i31-GEP Test Outperforms the MSKCC Nomogram at Predicting SLN Status in Melanoma Patients. Anticancer Research. 43(10). 4511–4516. 6 indexed citations

Farberg, Aaron S., Justin W. Marson, Alex M. Glazer, et al.. (2022). Expert Consensus on the Use of Prognostic Gene Expression Profiling Tests for the Management of Cutaneous Melanoma: Consensus from the Skin Cancer Prevention Working Group. Dermatology and Therapy. 12(4). 807–823. 18 indexed citations

Glazer, Alex M., et al.. (2022). The Integrated 31-Gene Expression Profile Test (i31-GEP) for Cutaneous Melanoma Outperforms the CP-GEP at Identifying Patients who can Forego Sentinel Lymph Node Biopsy when Applying NCCN Guidelines. SKIN The Journal of Cutaneous Medicine. 6(6). 474–481. 3 indexed citations

Marson, Justin W., et al.. (2021). Expert Consensus on Sunscreen for the Primary Prevention of Skin Cancer: Results of the Skin Cancer Prevention Working Group Conference. SKIN The Journal of Cutaneous Medicine. 5(3). 190–202. 1 indexed citations

Marson, Justin W., et al.. (2021). Assessment of the 31-Gene Expression Profile Test by Dermatologists: A Cross-Sectional Survey from National Dermatology Conferences. SKIN The Journal of Cutaneous Medicine. 5(2). 101–107. 4 indexed citations

Glazer, Alex M. & Clay J. Cockerell. (2019). Histopathologic discordance in melanoma can have substantial impacts on patient care. SKIN The Journal of Cutaneous Medicine. 3(2). 85–89. 2 indexed citations

Glazer, Alex M., et al.. (2018). Comparison of Survey Modality and Response Rate in Dermatologists’ Perceptions and Opinions of Sunscreens. SKIN The Journal of Cutaneous Medicine. 2(2). 122–126. 2 indexed citations

Glazer, Alex M., et al.. (2018). Factors Affecting Dermatologists' Use of a 31-Gene Expression Profiling Test as an Adjunct for Predicting Metastatic Risk in Cutaneous Melanoma.. PubMed. 17(5). 544–547. 9 indexed citations

Farberg, Aaron S., et al.. (2018). Enhanced melanoma diagnosis with multispectral digital skin lesion analysis.. PubMed. 101(5). 338–340. 3 indexed citations

10.

Glazer, Alex M., et al.. (2018). Melanoma Reporting Practices of United States Dermatologists. Dermatologic Surgery. 44(11). 1391–1395. 6 indexed citations

11.

Glazer, Alex M., et al.. (2018). Management Decisions Made by Physician Assistants and Nurse Practitioners in Cutaneous Malignant Melanoma Patients: Impact of a 31-Gene Expression Profile Test. PubMed. 17(11). 1220–1223. 4 indexed citations

12.

Winkelmann, Richard R., Aaron S. Farberg, Alex M. Glazer, et al.. (2017). Integrating Skin Cancer–Related Technologies into Clinical Practice. Dermatologic Clinics. 35(4). 565–576. 8 indexed citations

13.

Winkelmann, Richard R., Aaron S. Farberg, Alex M. Glazer, & Darrell S. Rigel. (2017). Noninvasive Technologies for the Diagnosis of Cutaneous Melanoma. Dermatologic Clinics. 35(4). 453–456. 4 indexed citations

14.

Farberg, Aaron S., Alex M. Glazer, Richard M. White, & Darrell S. Rigel. (2017). Impact of a 31-gene Expression Profiling Test for Cutaneous Melanoma on Dermatologists' Clinical Management Decisions.. PubMed. 16(5). 428–431. 22 indexed citations

15.

Glazer, Alex M., Darrell S. Rigel, Richard R. Winkelmann, & Aaron S. Farberg. (2017). Clinical Diagnosis of Skin Cancer. Dermatologic Clinics. 35(4). 409–416. 36 indexed citations

16.

Farberg, Aaron S., Alex M. Glazer, Richard R. Winkelmann, & Darrell S. Rigel. (2017). Assessing Genetic Expression Profiles in Melanoma Prognosis. Dermatologic Clinics. 35(4). 545–550. 9 indexed citations

17.

Stevenson, Mary L., Alex M. Glazer, David E. Cohen, Darrell S. Rigel, & Evan A. Rieder. (2017). Frequency of total body skin examinations among US dermatologists. Journal of the American Academy of Dermatology. 76(2). 343–344. 3 indexed citations

18.

Glazer, Alex M., et al.. (2017). Analysis of US dermatology physician assistant density. Journal of the American Academy of Dermatology. 76(6). 1200–1202. 10 indexed citations

19.

Glazer, Alex M., et al.. (2017). Successful Treatment of Generalized Essential Telangiectasia With 6-Mercaptopurine.. PubMed. 16(3). 280–282. 3 indexed citations

20.

Glazer, Alex M., et al.. (2016). Nail discoloration after use of hydroquinone. JAAD Case Reports. 2(1). 57–58. 5 indexed citations

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.

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