G. Haroske
- Molecular Biology
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Dermatology top 2%
- Co-authors
- Uwe WollinaMichael KasperW. MeyerJaqueline SchönlebeE KöstlerAlfred BöckingK D KunzeAlbrecht Reith
- Topics
- AI in cancer detection (14 papers)Cancer Genomics and Diagnostics (12 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of CancerThe Journal of Pathology
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
G. Haroske
106 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 443
- Oncology 415
- Pulmonary and Respiratory Medicine 389
- Surgery 337
- Dermatology 295
Countries citing papers authored by G. Haroske
This map shows the geographic impact of G. Haroske'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 G. Haroske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Haroske more than expected).
Fields of papers citing papers by G. Haroske
This network shows the impact of papers produced by G. Haroske. 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 G. Haroske. The network helps show where G. Haroske may publish in the future.
Co-authorship network of co-authors of G. Haroske
This figure shows the co-authorship network connecting the top 25 collaborators of G. Haroske. A scholar is included among the top collaborators of G. Haroske 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 G. Haroske. G. Haroske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | BASAL CELL CARCINOMA OF THE HEAD-AND-NECK REGION: A SINGLE CENTER ANALYSIS OF 1,750 TUMORS. | 8 |
| 2 | 45 | |
| 3 | 1 | |
| 4 | Das Marjolin-Ulkus : Maligne Transformation eines Ulcus cruris auf dem Boden einer posttraumatischen chronischen Osteomyelitis (Kasuistiken) | 1 |
| 5 | 50 | |
| 6 | 26 | |
| 7 | 209 | |
| 8 | 30 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 29 | |
| 13 | Remote quantitation in DNA image cytometry | 1 |
| 14 | 49 | |
| 15 | Diagnostic and prognostic relevance of malignancy-associated changes in cervical smears. | 7 |
| 16 | 84 | |
| 17 | 8 | |
| 18 | 16 | |
| 19 | 16 | |
| 20 | 15 |
About G. Haroske
G. Haroske is a scholar working on Dermatology, Biophysics and Cancer Research, having authored 108 papers that have together received 2.0k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Cancer Genomics and Diagnostics (12 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Dermatology (295 citations), Periodontics (116 citations) and Cancer Research (256 citations). G. Haroske has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Uwe Wollina, Michael Kasper, W. Meyer, Jaqueline Schönlebe, E Köstler, Alfred Böcking, K D Kunze, Albrecht Reith, Fabien Giroud and André Koch. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Cancer and The Journal of Pathology.
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.