M.‐T. Leccia
- Dermatology top 0.5%
- Skin Protection and Aging 20
- Acne and Rosacea Treatments and Effects 20
- Immunology top 5%
- Immunotherapy and Immune Responses 27
- Oncology top 5%
- Cutaneous Melanoma Detection and Management 35
- Cancer Immunotherapy and Biomarkers 27
- CAR-T cell therapy research 23
- Immunology and Allergy top 10%
- Epidemiology top 10%
- Nonmelanoma Skin Cancer Studies 15
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- Melanoma and MAPK Pathways 23
- Co-authors
- J. CharlesBrigitte DrénoJoël PlumasCaroline AspordN. AuffretF. PoliJean Paul ClaudelJean‐Claude Béani
- Cited by
- DermatologyImmunologyOncology
- Journals
- Journal of Clinical Oncology (16 papers)Journal of the European Academy of Dermatology and Venereology (13 papers)Journal of Investigative Dermatology (7 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
M.‐T. Leccia
145 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 127
- Dermatology 905
- Immunology 714
- Oncology 860
- Immunology and Allergy 75
- Epidemiology 417
Countries citing papers authored by M.‐T. Leccia
This map shows the geographic impact of M.‐T. Leccia'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 M.‐T. Leccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.‐T. Leccia more than expected).
Fields of papers citing papers by M.‐T. Leccia
This network shows the impact of papers produced by M.‐T. Leccia. 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 M.‐T. Leccia. The network helps show where M.‐T. Leccia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M.‐T. Leccia, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 17 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 3 | |
| 14 | 2015 | 23 | |
| 15 | 2013 | 60 | |
| 16 | 2013 | 143 | |
| 17 | 2007 | 2 | |
| 18 | [Clinical practice guideline: 2005 update of recommendations for the management of patients with cutaneous melanoma without distant metastases (summary report)]. | 2006 | 20 |
| 19 | 1997 | 51 | |
| 20 | 1993 | 61 |
About M.‐T. Leccia
M.‐T. Leccia is a scholar working on Dermatology, Oncology and Immunology and Allergy, having authored 159 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (35 papers), Cancer Immunotherapy and Biomarkers (27 papers), Immunotherapy and Immune Responses (27 papers), Melanoma and MAPK Pathways (23 papers), CAR-T cell therapy research (23 papers), Skin Protection and Aging (20 papers), Acne and Rosacea Treatments and Effects (20 papers) and Nonmelanoma Skin Cancer Studies (15 papers). The work is most often cited by research in Dermatology (905 citations), Immunology (714 citations) and Oncology (860 citations). M.‐T. Leccia has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include J. Charles, Brigitte Dréno, Joël Plumas, Caroline Aspord, N. Auffret, F. Poli, Jean Paul Claudel, Jean‐Claude Béani, Laurence Chaperot and Jean‐Paul Claudel. Their work appears in journals such as Journal of Clinical Oncology, Journal of the European Academy of Dermatology and Venereology, Journal of Investigative Dermatology, European Journal of Dermatology and Annals of Oncology.
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.