Dagmar Hess
Impact in
- Oncology top 5%
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
- Oncology 27
- Cancer Treatment and Pharmacology 14
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- PI3K/AKT/mTOR signaling in cancer 6
- Cancer therapeutics and mechanisms 6
- Co-authors
- Cristiana Sessa (23 shared papers)Markus Borner (4 shared papers)Beat Thürlimann (8 shared papers)Markus Joerger (19 shared papers)Olivia Pagani (7 shared papers)Aron Goldhirsch (6 shared papers)Giovanni Martinelli (5 shared papers)H. J. Illiger (1 shared paper)
- Journals
- Journal of Clinical Oncology (14 papers)Annals of Oncology (11 papers)European Journal of Cancer (7 papers)Blood (3 papers)Investigational New Drugs (3 papers)
- Partner nations
- SwitzerlandItalySpain
In The Last Decade
Dagmar Hess
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Oncology 760
- Cancer Research 215
- Geriatrics and Gerontology 43
- Molecular Biology 853
- Immunology 223
Countries citing papers authored by Dagmar Hess
This map shows the geographic impact of Dagmar Hess'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 Dagmar Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Hess more than expected).
Fields of papers citing papers by Dagmar Hess
This network shows the impact of papers produced by Dagmar Hess. 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 Dagmar Hess. The network helps show where Dagmar Hess may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagmar Hess, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 408 | |
| 2 | 2008 | 170 | |
| 3 | 2001 | 121 | |
| 4 | 2014 | 97 | |
| 5 | 2005 | 82 | |
| 6 | 2012 | 73 | |
| 7 | 2009 | 57 | |
| 8 | 2004 | 51 | |
| 9 | 2009 | 50 | |
| 10 | 2015 | 48 | |
| 11 | 2000 | 47 | |
| 12 | 2003 | 45 | |
| 13 | 2014 | 45 | |
| 14 | 1999 | 40 | |
| 15 | 2010 | 38 | |
| 16 | 2014 | 35 | |
| 17 | 2017 | 30 | |
| 18 | 2004 | 27 | |
| 19 | 2006 | 23 | |
| 20 | 2007 | 21 |
About Dagmar Hess
Dagmar Hess is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (14 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer therapeutics and mechanisms (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Lung Cancer Treatments and Mutations (5 papers), Multiple Myeloma Research and Treatments (4 papers), Advanced Breast Cancer Therapies (4 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Oncology (760 citations), Cancer Research (215 citations), Geriatrics and Gerontology (43 citations), Molecular Biology (853 citations) and Immunology (223 citations). Dagmar Hess has collaborated with scholars based in Switzerland, Italy and Spain. Frequent co-authors include Cristiana Sessa, Markus Borner, Beat Thürlimann, Markus Joerger, Olivia Pagani, Aron Goldhirsch, Giovanni Martinelli, H. J. Illiger, Dirk Behringer and Valerijus Ostapenko. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, European Journal of Cancer, Blood and Investigational New Drugs.
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.