Patrick Gholam

36 papers receiving 1.2k citations

Patrick Gholam's Hit Papers

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task 2019 · 410 citations
4100+2+4Years since publication100200300400

Peers

Patrick Gholam
Comparison fields: 5 of 107
  • Health Informatics 45
  • Dermatology 198
  • Oncology 513
  • Epidemiology 370
  • Biophysics 61
Replace Kiran Motaparthi with:
Kiran Motaparthi United States
Cristel Ruini Germany
Helmut Beltraminelli Switzerland
Faramarz H. Samie United States
Finja Jockenhöfer Germany
Bengü Nisa Akay Türkiye
Saskia Herz Germany
Asif Loya Pakistan
Marion Jost Germany
Theresa Steeb Germany
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Gholam

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Gholam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Gholam, 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 Patrick Gholam Line = papers co-authored together Patrick Gholam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task
Hit paper breakdown →
2019410
2 2019232
3 202360
4 202153
5 201052
6 201549
7 200841
8 201233
9 200732
10 201330
11 201130
12 201122
13 201622
14 201518
15 201615
16 201814
17 201812
18 201010
19 20099
20 20227

About Patrick Gholam

Patrick Gholam is a scholar working on Dermatology, Epidemiology, Oncology, Rheumatology and Pathology and Forensic Medicine, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (8 papers), Cutaneous Melanoma Detection and Management (3 papers), Photodynamic Therapy Research Studies (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Cervical Cancer and HPV Research (2 papers), HIV/AIDS drug development and treatment (2 papers) and Genital Health and Disease (2 papers). The work is most often cited by research in Health Informatics (45 citations), Dermatology (198 citations), Oncology (513 citations), Epidemiology (370 citations) and Biophysics (61 citations). Patrick Gholam has collaborated with scholars based in Germany and United States. Frequent co-authors include Alexander Heinrich Enk, Alexander Enk, Christine Fink, Martin Hartmann, Wolfgang Hartschuh, Eva N. Hadaschik, Lorenz Uhlmann, Ferdinand Toberer, Stacey Chapman and Julia Hartmann. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Dermatology, European Journal of Cancer, Acta Dermato Venereologica and Journal of Hepatology.

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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