H. Maaß
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
- Oncology 19
- Co-authors
- Hüseyin Çakmak (21 shared papers)Uwe Kühnapfel (13 shared papers)G. Trams (9 shared papers)Felix Bach (9 shared papers)W. Jonat (12 shared papers)F. Lehmann (2 shared papers)F. Hölzel (5 shared papers)Herta Flor (5 shared papers)
- Journals
- Journal of Cancer Research and Clinical Oncology (12 papers)European Journal of Endocrinology (7 papers)Archives of Gynecology and Obstetrics (6 papers)Journal of Molecular Medicine (6 papers)Die Naturwissenschaften (4 papers)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
H. Maaß
92 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 138
- Human-Computer Interaction 115
- Computer Graphics and Computer-Aided Design 56
- Anesthesiology and Pain Medicine 44
- Rehabilitation 53
- Cell Biology 122
Countries citing papers authored by H. Maaß
This map shows the geographic impact of H. Maaß'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 H. Maaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Maaß more than expected).
Fields of papers citing papers by H. Maaß
This network shows the impact of papers produced by H. Maaß. 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 H. Maaß. The network helps show where H. Maaß may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Maaß, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 238 | |
| 2 | 1995 | 138 | |
| 3 | 1972 | 78 | |
| 4 | 2014 | 75 | |
| 5 | 1997 | 51 | |
| 6 | 2013 | 48 | |
| 7 | 2014 | 45 | |
| 8 | 1993 | 40 | |
| 9 | 1973 | 35 | |
| 10 | 2015 | 30 | |
| 11 | [Adjuvant endocrine therapy of breast cancer]. | 1983 | 28 |
| 12 | 2005 | 22 | |
| 13 | 2023 | 20 | |
| 14 | 1958 | 19 | |
| 15 | 2018 | 18 | |
| 16 | 2013 | 16 | |
| 17 | 1965 | 15 | |
| 18 | [Effect of roentgen rays on carbohydrate metabolism of tumor cells]. | 1957 | 14 |
| 19 | 1960 | 11 | |
| 20 | 1962 | 10 |
About H. Maaß
H. Maaß is a scholar working on Oncology, Molecular Biology, Genetics, Surgery and Cancer Research, having authored 105 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), Surgical Simulation and Training (11 papers), Breast Cancer Treatment Studies (9 papers), Cancer, Hypoxia, and Metabolism (5 papers), Augmented Reality Applications (5 papers), Lung Cancer Treatments and Mutations (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (115 citations), Computer Graphics and Computer-Aided Design (56 citations), Anesthesiology and Pain Medicine (44 citations), Rehabilitation (53 citations) and Cell Biology (122 citations). H. Maaß has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Hüseyin Çakmak, Uwe Kühnapfel, G. Trams, Felix Bach, W. Jonat, F. Lehmann, F. Hölzel, Herta Flor, Martin Diers and Sandra Kamping. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, European Journal of Endocrinology, Archives of Gynecology and Obstetrics, Journal of Molecular Medicine and Die Naturwissenschaften.
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.