Michael A. Marchetti
- Dermatology top 0.5%
- Cutaneous lymphoproliferative disorders research 23
- Cancer and Skin Lesions 15
- Skin Protection and Aging 13
- Oncology top 2%
- Cutaneous Melanoma Detection and Management 70
- Health Informatics top 5%
- Biophysics top 2%
- Epidemiology top 5%
- Nonmelanoma Skin Cancer Studies 34
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- AI in cancer detection 11
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- Melanoma and MAPK Pathways 9
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- Genetic and rare skin diseases. 8
- Co-authors
- Allan C. HalpernAshfaq A. MarghoobStephen W. DuszaKonstantinos LiopyrisNatalia JaimesDirk SchadendorfMeenhard HerlynGrant A. McArthur
- Journals
- Journal of the American Academy of Dermatology (20 papers)JAMA Dermatology (19 papers)Journal of the European Academy of Dermatology and Venereology (8 papers)
- Partner nations
- United StatesIsraelChile
In The Last Decade
Michael A. Marchetti
101 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Dermatology 635
- Oncology 1.4k
- Health Informatics 36
- Biophysics 132
- Epidemiology 676
Countries citing papers authored by Michael A. Marchetti
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
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
The 25 scholars most cited alongside Michael A. Marchetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 38 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2017 | 16 | |
| 14 | 2017 | 76 | |
| 15 | 2016 | 39 | |
| 16 | 2016 | 33 | |
| 17 | 2016 | 14 | |
| 18 | 2014 | 20 | |
| 19 | 2014 | 2 | |
| 20 | 2013 | 8 |
About Michael A. Marchetti
Michael A. Marchetti is a scholar working on Dermatology, Oncology, Microbiology, Epidemiology and Biophysics, having authored 104 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (70 papers), Nonmelanoma Skin Cancer Studies (34 papers), Cutaneous lymphoproliferative disorders research (23 papers), Cancer and Skin Lesions (15 papers), Skin Protection and Aging (13 papers), AI in cancer detection (11 papers), Melanoma and MAPK Pathways (9 papers) and Genetic and rare skin diseases. (8 papers). The work is most often cited by research in Dermatology (635 citations), Oncology (1.4k citations), Health Informatics (36 citations), Biophysics (132 citations) and Epidemiology (676 citations). Michael A. Marchetti has collaborated with scholars based in United States, Israel and Chile. Frequent 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. Their work appears in journals such as Journal of the American Academy of Dermatology, JAMA Dermatology, Journal of the European Academy of Dermatology and Venereology, British Journal of Dermatology and Dermatologic Clinics.
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.