Michael A. Marchetti

6.1k total citations · 1 hit paper
104 papers, 2.2k citations indexed

About

Michael A. Marchetti is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Michael A. Marchetti has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Oncology, 53 papers in Dermatology and 44 papers in Epidemiology. Recurrent topics in Michael A. Marchetti's work include Cutaneous Melanoma Detection and Management (70 papers), Nonmelanoma Skin Cancer Studies (34 papers) and Cutaneous lymphoproliferative disorders research (23 papers). Michael A. Marchetti is often cited by papers focused on Cutaneous Melanoma Detection and Management (70 papers), Nonmelanoma Skin Cancer Studies (34 papers) and Cutaneous lymphoproliferative disorders research (23 papers). Michael A. Marchetti collaborates with scholars based in United States, Israel and Chile. Michael A. Marchetti's co-authors include Allan C. Halpern, Ashfaq A. Marghoob, Stephen W. Dusza, Konstantinos Liopyris, Natalia Jaimes, Dirk Schadendorf, Meenhard Herlyn, Grant A. McArthur, David E. Fisher and Alexander Roesch and has published in prestigious journals such as Journal of Clinical Oncology, The American Journal of Medicine and Nature Reviews Disease Primers.

In The Last Decade

Michael A. Marchetti

101 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Melanoma

2015 441 citations Allan C. Halpern, Michael A. Marchetti et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael A. Marchetti United States	23	1.4k	676	635	464	429	104	2.2k
Holger A. Haenssle Germany	24	1.3k 0.9×	628 0.9×	604 1.0×	400 0.9×	348 0.8×	134	2.3k
Clara Curiel‐Lewandrowski United States	26	1.3k 0.9×	602 0.9×	709 1.1×	180 0.4×	558 1.3×	103	2.4k
Ignazio Stanganelli Italy	27	1.6k 1.1×	694 1.0×	888 1.4×	148 0.3×	387 0.9×	138	2.2k
Michael E. Ming United States	30	1.8k 1.2×	561 0.8×	646 1.0×	138 0.3×	592 1.4×	66	2.3k
Massimiliano Scalvenzi Italy	29	1.3k 0.9×	884 1.3×	1.2k 1.8×	145 0.3×	542 1.3×	147	2.4k
Christiane Voit Germany	24	1.4k 1.0×	515 0.8×	308 0.5×	166 0.4×	524 1.2×	72	1.8k
James M. Grichnik United States	32	1.9k 1.3×	662 1.0×	1.1k 1.7×	298 0.6×	1.1k 2.6×	92	3.7k
Ingrid Wolf Austria	28	1.6k 1.1×	717 1.1×	771 1.2×	109 0.2×	618 1.4×	86	2.7k
Mario Delfino Italy	18	929 0.6×	475 0.7×	553 0.9×	225 0.5×	223 0.5×	74	1.6k
Erika Richtig Austria	27	1.5k 1.0×	464 0.7×	564 0.9×	66 0.1×	507 1.2×	123	2.4k

Countries citing papers authored by Michael A. Marchetti

Since Specialization

Citations

This map shows the geographic impact of Michael A. Marchetti'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 Michael A. Marchetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Marchetti more than expected).

Fields of papers citing papers by Michael A. Marchetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Marchetti. 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 Michael A. Marchetti. The network helps show where Michael A. Marchetti may publish in the future.

Co-authorship network of co-authors of Michael A. Marchetti

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Marchetti. A scholar is included among the top collaborators of Michael A. Marchetti 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 Michael A. Marchetti. Michael A. Marchetti 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

Kurtansky, Nicholas R., et al.. (2024). Dermatoscopic features and potential pitfalls of artificial intelligence–based analysis of benign acral pigmented lesions in Black patients: A multicenter observational study. Journal of the American Academy of Dermatology. 91(1). 146–148. 1 indexed citations

Sun, Mary, Jennifer L. Hay, Elizabeth Quigley, et al.. (2023). 43933 Dermatology Patient Experiences with Clinical Photography and Perspectives on Use, Consent, Security, and Identifiability. Journal of the American Academy of Dermatology. 89(3). AB34–AB34.

Kurtansky, Nicholas R., et al.. (2023). Are the MIA and MSKCC nomograms useful in selecting patients with melanoma for sentinel lymph node biopsy?. Journal of Surgical Oncology. 127(7). 1167–1173. 12 indexed citations

Marchetti, Michael A., Stephen W. Dusza, B D'Alessandro, et al.. (2023). 3D Whole‐body skin imaging for automated melanoma detection. Journal of the European Academy of Dermatology and Venereology. 37(5). 945–950. 14 indexed citations

Dusza, Stephen W., Elizabeth Quigley, Alina Markova, et al.. (2023). Pruritus related to trastuzumab and pertuzumab in HER2 + breast cancer patients. Breast Cancer Research and Treatment. 203(2). 271–280. 2 indexed citations

Marchetti, Michael A., Nicholas R. Kurtansky, Jochen Weber, et al.. (2023). Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study). npj Digital Medicine. 6(1). 127–127. 38 indexed citations

Marchetti, Michael A., Stephen W. Dusza, & Edmund K. Bartlett. (2022). Utility of a Model for Predicting the Risk of Sentinel Lymph Node Metastasis in Patients With Cutaneous Melanoma. JAMA Dermatology. 158(6). 680–680. 11 indexed citations

Marchetti, Michael A., et al.. (2022). Features of Skin Cancer in Black Individuals: A Single-Institution Retrospective Cohort Study. Dermatology Practical & Conceptual. 12(2). e2022075–e2022075. 7 indexed citations

Rotemberg, Veronica, et al.. (2020). Interactive skin self-examination digital platforms for the prevention of skin cancer: A narrative literature review. Journal of the American Academy of Dermatology. 84(5). 1459–1468. 7 indexed citations

10.

Marchetti, Michael A., Stephen W. Dusza, & Edmund K. Bartlett. (2020). Problematic methodology in a systematic review and meta-analysis of DecisionDx-Melanoma. Journal of the American Academy of Dermatology. 83(5). e357–e358. 4 indexed citations

11.

Hedayat, A., Travis J. Hollmann, Michael A. Marchetti, et al.. (2019). Gram‐negative cutaneous infections with unique filamentous forms. Journal of Cutaneous Pathology. 46(6). 459–462. 1 indexed citations

12.

Flowers, Richard, et al.. (2019). Dermatofibroma With Sebaceous Induction: Dermoscopic Clues to Improve Recognition. Dermatology Practical & Conceptual. 9(4). 315–317. 1 indexed citations

13.

Rogers, Tova, Maria Lucia Marino, Stephen W. Dusza, et al.. (2017). Triage amalgamated dermoscopic algorithm (TADA) for skin cancer screening. Dermatology Practical & Conceptual. 7(2). 39–46. 16 indexed citations

14.

Wolner, Zachary, Oriol Yélamos, Konstantinos Liopyris, et al.. (2017). Enhancing Skin Cancer Diagnosis with Dermoscopy. Dermatologic Clinics. 35(4). 417–437. 76 indexed citations

15.

Navarrete‐Dechent, Cristián, et al.. (2016). Association of Shiny White Blotches and Strands With Nonpigmented Basal Cell Carcinoma. JAMA Dermatology. 152(5). 546–546. 39 indexed citations

16.

Rogers, Tova, Maria Lucia Marino, Stephen W. Dusza, et al.. (2016). A Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA). The Journal of the American Board of Family Medicine. 29(6). 694–701. 33 indexed citations

17.

Marino, Maria Lucia, Cristina Carrera, Michael A. Marchetti, & Ashfaq A. Marghoob. (2016). Practice Gaps in Dermatology. Dermatologic Clinics. 34(3). 353–362. 14 indexed citations

18.

Marchetti, Michael A., Maija Kiuru, Klaus J. Busam, et al.. (2014). Melanocytic naevi with globular and reticular dermoscopic patterns display distinctBRAFV600E expression profiles and histopathological patterns. British Journal of Dermatology. 171(5). 1060–1065. 20 indexed citations

19.

Marchetti, Michael A. & Ashfaq A. Marghoob. (2014). Dermoscopy. Canadian Medical Association Journal. 186(15). 1167–1167. 2 indexed citations

20.

Marchetti, Michael A. & Kenneth E. Greer. (2013). Pityriasis rubra pilaris treated with methotrexate resolving with an erythema gyratum repens–like appearance. Journal of the American Academy of Dermatology. 69(1). e32–e33. 8 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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