Joachim Klode

96 papers receiving 3.0k citations

Hit Papers

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review 2018 · 296 citations
296201820262020202350100150200250

Peers

Joachim Klode
Comparison fields: 5 of 162
  • Health Informatics 79
  • Dermatology 412
  • Oncology 1.3k
  • Rehabilitation 284
  • Biophysics 173
Replace Holger A. Haenssle with:
Holger A. Haenssle Germany
Wilhelm Stolz Germany
Rainer Hofmann‐Wellenhof Austria
Timothy A. Miller United States
Kee Yang Chung South Korea
Zoé Apalla Greece
Petra Wilder‐Smith United States
Michael W. Piepkorn United States
Andreas Blum Germany
Raymond L. Barnhill United States
Joachim Klode relative to Holger A. Haenssle Germany Holger A. Haenssle's profile →
Citations per field
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Holger A. Haenssle · 1×
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
#Work
1 20232
2
Covid-19 vaccine mimics lymph node metastases in patients undergoing skin cancer follow-up - a monocenter study
20211
3 202110
4 20211
5 201954
6 2019215
7 2019138
8 201962
9
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
Hit paper breakdown →
2018296
10 201826
11
Unzureichender Tetanusimpfschutz bei Psoriasis und systemischer Immunsuppression: Ergebnisse einer retrospektiven Untersuchung an 101 Patienten
20183
12 201814
13 201710
14 201633
15 201523
16 201576
17 201523
18 201320
19 201236
20 201038

About Joachim Klode

Joachim Klode is a scholar working on Dermatology, Rehabilitation, Oncology, Occupational Therapy and Biophysics, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (27 papers), Nonmelanoma Skin Cancer Studies (13 papers), Wound Healing and Treatments (11 papers), Photoacoustic and Ultrasonic Imaging (8 papers), AI in cancer detection (7 papers), Diagnosis and Treatment of Venous Diseases (7 papers), Optical Coherence Tomography Applications (7 papers) and Cutaneous lymphoproliferative disorders research (6 papers). The work is most often cited by research in Health Informatics (79 citations), Dermatology (412 citations), Oncology (1.3k citations), Rehabilitation (284 citations) and Biophysics (173 citations). Joachim Klode has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Dirk Schadendorf, Joachim Dissemond, Ingo Stoffels, Titus J. Brinker, Andreas Körber, Alexander Enk, Christof von Kalle, Jochen Utikal, Achim Hekler and Carola Berking. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of the European Academy of Dermatology and Venereology, European Journal of Cancer, 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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