Dagmar Hess
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Treatment and Pharmacology
Papers in
- Oncology 13
- Cancer Treatment and Pharmacology 6
- Cancer Immunotherapy and Biomarkers 4
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- PI3K/AKT/mTOR signaling in cancer 5
- Cancer therapeutics and mechanisms 4
- Histone Deacetylase Inhibitors Research 3
- Co-authors
- Cristiana Sessa (18 shared papers)Markus Borner (4 shared papers)Beat J. K. Thurlimann (8 shared papers)Olivia Pagani (7 shared papers)Markus Joerger (14 shared papers)Aron Goldhirsch (6 shared papers)Giovanni Martinelli (5 shared papers)Valerijus Ostapenko (1 shared paper)
- Journals
- Annals of Oncology (12 papers)European Journal of Cancer (8 papers)Blood (3 papers)Investigational New Drugs (3 papers)Cancer Chemotherapy and Pharmacology (3 papers)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Dagmar Hess
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 61
- Oncology 299
- Drug Discovery 1
- Geriatrics and Gerontology 39
- Cancer Research 101
- Molecular Biology 477
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 409 | |
| 2 | 2008 | 175 | |
| 3 | 2001 | 129 | |
| 4 | 2014 | 102 | |
| 5 | 2005 | 93 | |
| 6 | 2012 | 75 | |
| 7 | 2024 | 69 | |
| 8 | 2009 | 61 | |
| 9 | 2018 | 56 | |
| 10 | 2004 | 55 | |
| 11 | 2015 | 52 | |
| 12 | 2009 | 51 | |
| 13 | 2000 | 48 | |
| 14 | 2014 | 47 | |
| 15 | 2003 | 44 | |
| 16 | 1999 | 41 | |
| 17 | 2010 | 38 | |
| 18 | 2014 | 36 | |
| 19 | 2023 | 34 | |
| 20 | 2017 | 30 |
About Dagmar Hess
Dagmar Hess is a scholar working on Oncology, Molecular Biology, Biomaterials, Hematology and Pathology and Forensic Medicine, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer therapeutics and mechanisms (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Oncology (299 citations), Drug Discovery (1 citation), Geriatrics and Gerontology (39 citations), Cancer Research (101 citations) and Molecular Biology (477 citations). Dagmar Hess has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Cristiana Sessa, Markus Borner, Beat J. K. Thurlimann, Olivia Pagani, Markus Joerger, Aron Goldhirsch, Giovanni Martinelli, Valerijus Ostapenko, Stephen R.D. Johnston and Stephen Y.T. Chan. Their work appears in journals such as Annals of Oncology, European Journal of Cancer, Blood, Investigational New Drugs and Cancer Chemotherapy and Pharmacology.
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.