Joachim Klode

109 papers receiving 7.2k citations

Joachim Klode's Hit Papers

Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task 2019 · 410 citations
4100+3+7Years since publication50010001.5k2.0k2.5k

Peers

Joachim Klode
Comparison fields: 5 of 168
  • Oncology 3.5k
  • Health Informatics 147
  • Dermatology 603
  • Biophysics 280
  • Rehabilitation 264
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Niels Grabe Germany
Friedegund Elke Meier Germany
Raymond L. Barnhill United States
Carola Berking Germany
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Markus Vincent Heppt Germany
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Citations per year

Countries citing papers authored by Joachim Klode

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Klode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomic Classification of Cutaneous Melanoma
Hit paper breakdown →
20152509
2
Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task
Hit paper breakdown →
2019410
3 2018356
4 2019284
5 2019262
6 2015246
7 2019232
8 2019219
9 2019174
10 2019164
11 2010147
12 2006130
13 2019112
14 2013107
15 2019107
16 201299
17 201585
18 201975
19 201965
20 201563

About Joachim Klode

Joachim Klode is a scholar working on Dermatology, Oncology, Epidemiology, Rehabilitation and Radiology, Nuclear Medicine and Imaging, having authored 110 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (29 papers), Autoimmune and Inflammatory Disorders (8 papers), Wound Healing and Treatments (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Diagnosis and Treatment of Venous Diseases (5 papers), Nonmelanoma Skin Cancer Studies (5 papers), Skin Protection and Aging (5 papers) and Autoimmune Bullous Skin Diseases (4 papers). The work is most often cited by research in Oncology (3.5k citations), Health Informatics (147 citations), Dermatology (603 citations), Biophysics (280 citations) and Rehabilitation (264 citations). Joachim Klode has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Dirk Schadendorf, Joachim Dissemond, Ingo Stoffels, Titus Josef Brinker, Andreas Körber, Christof V. Kalle, Alexander Heinrich Enk, Jochen Sven Utikal, Achim Hekler and Carola Berking. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, European Journal of Cancer, Journal of the European Academy of Dermatology and Venereology, Journal of Medical Internet Research and European Journal of Nuclear Medicine and Molecular Imaging.

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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