G. Stauch
Impact in
-
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- HER2/EGFR in Cancer Research
Papers in
- Co-authors
- W. Heidenreich (3 shared papers)Johannes Gerdes (3 shared papers)Ralph J. Lellé (2 shared papers)A. Georgii (3 shared papers)Roland Schwarting (1 shared paper)H Pickartz (1 shared paper)H Stein (1 shared paper)W. Lang (1 shared paper)
- Journals
- Journal of Telemedicine and Telecare (4 papers)Archives of Virology (2 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (2 papers)BMC Medical Informatics and Decision Making (1 paper)Pathology (1 paper)
- Partner nations
- GermanySwitzerlandAfghanistan
In The Last Decade
G. Stauch
36 papers receiving 622 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 120
- Oncology 213
- Health Informatics 9
- Pathology and Forensic Medicine 112
- Endocrinology, Diabetes and Metabolism 88
Countries citing papers authored by G. Stauch
This map shows the geographic impact of G. Stauch'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. Stauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Stauch more than expected).
Fields of papers citing papers by G. Stauch
This network shows the impact of papers produced by G. Stauch. 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. Stauch. The network helps show where G. Stauch may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Stauch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 215 | |
| 2 | 1987 | 110 | |
| 3 | 1980 | 103 | |
| 4 | 2004 | 40 | |
| 5 | 1987 | 20 | |
| 6 | Experience based approach to interactive versus "store and forward" telepathology. | 1998 | 13 |
| 7 | 2000 | 12 | |
| 8 | 2013 | 12 | |
| 9 | 2002 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 1981 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 1989 | 8 | |
| 15 | 2005 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 1984 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 5 |
About G. Stauch
G. Stauch is a scholar working on Oncology, Surgery, Epidemiology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 651 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Polyomavirus and related diseases (4 papers), Mycobacterium research and diagnosis (3 papers), Breast Lesions and Carcinomas (3 papers), Global Cancer Incidence and Screening (3 papers), Lymphatic Disorders and Treatments (2 papers), Parvovirus B19 Infection Studies (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Cancer Research (120 citations), Oncology (213 citations), Health Informatics (9 citations), Pathology and Forensic Medicine (112 citations) and Endocrinology, Diabetes and Metabolism (88 citations). G. Stauch has collaborated with scholars based in Germany, Switzerland and Afghanistan. Frequent co-authors include W. Heidenreich, Johannes Gerdes, Ralph J. Lellé, A. Georgii, Roland Schwarting, H Pickartz, H Stein, W. Lang, Ellen Kienzle and Michael J. Mihatsch. Their work appears in journals such as Journal of Telemedicine and Telecare, Archives of Virology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, BMC Medical Informatics and Decision Making and 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.