Megan Mosca

580 citations
23 papers · 310 · h-index 8

Impact in

    • Dermatology and Skin Diseases
  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Psoriasis: Treatment and Pathogenesis 12
    • Dermatology and Skin Diseases 9
    • Cutaneous lymphoproliferative disorders research 2

Megan Mosca

21 papers receiving 307 citations

Peers

Megan Mosca
Comparison fields: 5 of 61
  • Dermatology 97
  • Immunology 212
  • Pathology and Forensic Medicine 37
  • Pharmaceutical Science 13
  • Rheumatology 29
Replace Klaudia Dopytalska with:
Klaudia Dopytalska Poland
Priscilla Wong China
Stephanie Mehlis United States
Abby Jacobson United States
Fan Bai China
S. D’Adamio Italy
C. Karimkhani Aksut United States
Bruno de Oliveira Rocha Brazil
Arvin Ighani Canada
Jai-Il Youn South Korea
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Citations per field
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Klaudia Dopytalska · 1×
Citations per year

Countries citing papers authored by Megan Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Megan Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan Mosca. 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 Megan Mosca. The network helps show where Megan Mosca may publish in the future.

Co-authors

The 25 scholars most cited alongside Megan Mosca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Megan Mosca Line = papers co-authored together Megan Mosca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202188
2
The Role of IL-17 Cytokines in Psoriasis
202155
3 202131
4 202128
5
Human papillomavirus infection and cervical lesions in rheumatic diseases: a systematic review.
201723
6 202120
7 202216
8 202110
9 20217
10 20224
11 20214
12 20214
13 20214
14 20213
15 20223
16 20223
17 20212
18 20201
19 20241
20 20231

About Megan Mosca

Megan Mosca is a scholar working on Immunology, Dermatology, Pathology and Forensic Medicine, Clinical Psychology and Physiology, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (12 papers), Dermatology and Skin Diseases (9 papers), Autoimmune Bullous Skin Diseases (3 papers), Body Image and Dysmorphia Studies (3 papers), Asthma and respiratory diseases (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Dermatology (97 citations), Immunology (212 citations), Pathology and Forensic Medicine (37 citations), Pharmaceutical Science (13 citations) and Rheumatology (29 citations). Megan Mosca has collaborated with scholars based in United States. Frequent co-authors include Edward Hadeler, Julie Hong, Tina Bhutani, Wilson Liao, Nicholas Brownstone, John Koo, Marwa Hakimi, Chiara Tani, George Gondo and Jared Liu. Their work appears in journals such as Dermatology and Therapy, Pediatric Dermatology, Biologics, Journal of the American Academy of Dermatology and Dermatology Online Journal.

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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