Marc Combalia

1.5k total citations
23 papers, 441 citations indexed

About

Marc Combalia is a scholar working on Oncology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Marc Combalia has authored 23 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 7 papers in Artificial Intelligence and 6 papers in Epidemiology. Recurrent topics in Marc Combalia's work include Cutaneous Melanoma Detection and Management (16 papers), AI in cancer detection (7 papers) and Nonmelanoma Skin Cancer Studies (6 papers). Marc Combalia is often cited by papers focused on Cutaneous Melanoma Detection and Management (16 papers), AI in cancer detection (7 papers) and Nonmelanoma Skin Cancer Studies (6 papers). Marc Combalia collaborates with scholars based in Spain, United States and Greece. Marc Combalia's co-authors include Josep Malvehy, Susana Puig, Verónica Vilaplana, Veronica Rotemberg, Allan C. Halpern, Brian Helba, Noel Codella, Ilker Demirkol, Daniel Camps‐Mur and Josep Paradells and has published in prestigious journals such as Nature Communications, Annals of Oncology and IEEE Communications Magazine.

In The Last Decade

Marc Combalia

22 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Combalia Spain 10 217 172 95 66 63 23 441
Ferdinand Toberer Germany 12 403 1.9× 297 1.7× 156 1.6× 125 1.9× 20 0.3× 82 670
Mohammad H. Jafari Canada 10 337 1.6× 302 1.8× 115 1.2× 40 0.6× 21 0.3× 26 663
Andreea Udrea Romania 9 170 0.8× 98 0.6× 69 0.7× 50 0.8× 6 0.1× 36 307
Anousha Yazdabadi Australia 10 154 0.7× 97 0.6× 85 0.9× 125 1.9× 4 0.1× 24 422
Brian Helba United States 8 477 2.2× 371 2.2× 168 1.8× 75 1.1× 4 0.1× 11 681
Amirreza Mahbod Austria 10 548 2.5× 549 3.2× 232 2.4× 68 1.0× 8 0.1× 19 870
Woohyung Lim South Korea 7 590 2.7× 522 3.0× 243 2.6× 124 1.9× 5 0.1× 14 933
Kunal Nagpal United States 5 97 0.4× 345 2.0× 30 0.3× 11 0.2× 9 0.1× 10 592
Rajendra S. Sonawane India 11 171 0.8× 136 0.8× 50 0.5× 62 0.9× 2 0.0× 20 539
Stefan Fröhling Germany 8 500 2.3× 467 2.7× 168 1.8× 73 1.1× 3 0.0× 10 793

Countries citing papers authored by Marc Combalia

Since Specialization
Citations

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

Fields of papers citing papers by Marc Combalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Combalia

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Combalia. A scholar is included among the top collaborators of Marc Combalia 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 Marc Combalia. Marc Combalia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Giavedoni, Priscila, Jorge Romaní, Francisco Javier García‐Martínez, et al.. (2025). Advanced Doppler Ultrasound Insights: A Multicenter Prospective Study on Healthy Skin. Diagnostics. 15(5). 569–569.
2.
Andrew, Tom W., Marc Combalia, György Paragh, et al.. (2025). Multimodal AI and tumour microenvironment integration predicts metastasis in cutaneous melanoma. Nature Communications. 16(1). 10095–10095. 1 indexed citations
3.
Combalia, Marc, Sebastián Podlipnik, Noel Codella, et al.. (2024). BCN20000: Dermoscopic Lesions in the Wild. Scientific Data. 11(1). 641–641. 36 indexed citations
4.
Kurtansky, Nicholas R., Clare Primiero, Brigid Betz‐Stablein, et al.. (2024). Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: Results from the 2020 SIIM‐ISIC melanoma classification challenge. Journal of the European Academy of Dermatology and Venereology. 39(8). 1489–1499. 1 indexed citations
5.
Sangers, Tobias E., Harald Kittler, Andreas Blum, et al.. (2023). Position statement of the EADV Artificial Intelligence (AI) Task Force on AI‐assisted smartphone apps and web‐based services for skin disease. Journal of the European Academy of Dermatology and Venereology. 38(1). 22–30. 23 indexed citations
6.
Mollá, M., et al.. (2023). PO-1280 Optical coherence tomography computational model to quantify radiotherapy induced skin effects. Radiotherapy and Oncology. 182. S1023–S1024. 1 indexed citations
7.
Calbet‐Llopart, Neus, Marc Combalia, Míriam Potrony, et al.. (2022). Common genetic variants associated with melanoma risk or naevus count in patients with wildtype MC1R melanoma. British Journal of Dermatology. 187(5). 753–764. 5 indexed citations
8.
Combalia, Marc, Noel Codella, Veronica Rotemberg, et al.. (2022). Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge. The Lancet Digital Health. 4(5). e330–e339. 74 indexed citations
9.
Podlipnik, Sebastián, Cristina Carrera, Adriana García‐Herrera, et al.. (2021). Dermoscopic, confocal and histopathologic characteristics of small‐diameter melanomas (minimelanoma): a cross sectional study. Australasian Journal of Dermatology. 62(2). e256–e261. 2 indexed citations
10.
Malvehy, Josep, et al.. (2021). New regulation of medical devices in the EU: impact in dermatology. Journal of the European Academy of Dermatology and Venereology. 36(3). 360–364. 16 indexed citations
11.
Daneshjou, Roxana, Catarina Barata, Brigid Betz‐Stablein, et al.. (2021). Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology. JAMA Dermatology. 158(1). 90–90. 94 indexed citations
12.
Tell‐Martí, Gemma, Neus Calbet‐Llopart, Alicia Barreiro, et al.. (2020). Influence of germline genetic variants on dermoscopic features of melanoma. Pigment Cell & Melanoma Research. 34(3). 618–628. 2 indexed citations
13.
González‐Cruz, Carlos, Sebastián Podlipnik, Marc Combalia, et al.. (2020). Uso del aprendizaje automático en el diagnóstico del melanoma. Limitaciones por superar. Actas Dermo-Sifiliográficas. 111(4). 313–316. 2 indexed citations
14.
González‐Cruz, Carlos, Sebastián Podlipnik, Marc Combalia, et al.. (2020). Machine Learning in Melanoma Diagnosis. Limitations About to be Overcome. Actas Dermo-Sifiliográficas. 111(4). 313–316. 9 indexed citations
15.
Pérez‐Ánker, Javiera, Simone Ribero, Oriol Yélamos, et al.. (2019). Basal cell carcinoma characterization using fusionex vivoconfocal microscopy: a promising change in conventional skin histopathology. British Journal of Dermatology. 182(2). 468–476. 32 indexed citations
16.
Potrony, Míriam, Neus Calbet‐Llopart, Marc Combalia, et al.. (2019). Evaluating polygenic risk score prediction model for melanoma prognosis. Annals of Oncology. 30. v557–v558. 1 indexed citations
17.
Demirkol, Ilker, Daniel Camps‐Mur, Josep Paradells, et al.. (2019). Powering the Internet of Things through Light Communication. IEEE Communications Magazine. 57(6). 107–113. 67 indexed citations
18.
Combalia, Marc, Javiera Pérez‐Ánker, Adriana García‐Herrera, et al.. (2018). Digitally Stained Confocal Microscopy through Deep Learning. 121–129. 6 indexed citations
19.
Casamitjana, Adrià, et al.. (2017). Masked V-Net: an approach to brain tumor segmentation. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 42–49. 6 indexed citations
20.
Aust, Daniela E., Jonathan P. Terdiman, Cornell Chang, et al.. (2001). Abstracts 18th European Congress of Pathology Berlin, Germany, September 8–13, 2001. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 439(3). 235–483. 1 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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