Julia K. Winkler
- Oncology top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Epidemiology
- Co-authors
- Holger A. HaenssleJessica C. HasselFerdinand TobererAndreas BlumChristine FinkAntonia Dimitrakopoulou‐StraussAlexander EnkChristos Sachpekidis
- Topics
- Cutaneous Melanoma Detection and Management (22 papers)AI in cancer detection (14 papers)Nonmelanoma Skin Cancer Studies (9 papers)
- Cited by
- Health InformaticsOncologyBiophysics
- Journals
- Journal of Investigative DermatologyEuropean Journal of CancerJournal of Medical Internet Research
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Julia K. Winkler
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Oncology 586
- Artificial Intelligence 296
- Radiology, Nuclear Medicine and Imaging 218
- Immunology 144
- Epidemiology 136
Countries citing papers authored by Julia K. Winkler
This map shows the geographic impact of Julia K. Winkler'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 Julia K. Winkler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia K. Winkler more than expected).
Fields of papers citing papers by Julia K. Winkler
This network shows the impact of papers produced by Julia K. Winkler. 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 Julia K. Winkler. The network helps show where Julia K. Winkler may publish in the future.
Co-authorship network of co-authors of Julia K. Winkler
This figure shows the co-authorship network connecting the top 25 collaborators of Julia K. Winkler. A scholar is included among the top collaborators of Julia K. Winkler 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 Julia K. Winkler. Julia K. Winkler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 7 | |
| 18 | 138 | |
| 19 | 3 | |
| 20 | 0 |
About Julia K. Winkler
Julia K. Winkler is a scholar working on Dermatology, Microbiology and Biophysics, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (22 papers), AI in cancer detection (14 papers) and Nonmelanoma Skin Cancer Studies (9 papers). The work is most often cited by research in Health Informatics (60 citations), Oncology (586 citations) and Biophysics (74 citations). Julia K. Winkler has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Holger A. Haenssle, Jessica C. Hassel, Ferdinand Toberer, Andreas Blum, Christine Fink, Antonia Dimitrakopoulou‐Strauss, Alexander Enk, Christos Sachpekidis, Annette Kopp‐Schneider and Uwe Haberkorn. Their work appears in journals such as Journal of Investigative Dermatology, European Journal of Cancer and Journal of Medical Internet Research.
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.