Daniel Heylmann
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- DNA Repair Mechanisms 7
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- PARP inhibition in cancer therapy 2
- Co-authors
- Bernd Kaina (10 shared papers)Thomas Kindler (2 shared papers)Martina Bauer (3 shared papers)Franz Rödel (1 shared paper)Michael Goldstein (2 shared papers)Jörg Fahrer (5 shared papers)Markus Christmann (3 shared papers)Viviane Ponath (2 shared papers)
- Journals
- DNA repair (2 papers)Scientific Reports (2 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2 papers)Cell Death and Disease (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Daniel Heylmann
17 papers receiving 819 citations
Peers
Comparison fields: 5 of 102
- Immunology 228
- Oncology 267
- Cancer Research 107
- Radiology, Nuclear Medicine and Imaging 164
- Hematology 45
Countries citing papers authored by Daniel Heylmann
This map shows the geographic impact of Daniel Heylmann'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 Daniel Heylmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Heylmann more than expected).
Fields of papers citing papers by Daniel Heylmann
This network shows the impact of papers produced by Daniel Heylmann. 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 Daniel Heylmann. The network helps show where Daniel Heylmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Heylmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 183 | |
| 2 | 2011 | 154 | |
| 3 | 2021 | 104 | |
| 4 | 2013 | 86 | |
| 5 | 2019 | 68 | |
| 6 | 2012 | 48 | |
| 7 | 2018 | 43 | |
| 8 | 2022 | 34 | |
| 9 | 2016 | 25 | |
| 10 | 2022 | 25 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2017 | 4 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 |
About Daniel Heylmann
Daniel Heylmann is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 823 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Cancer Immunotherapy and Biomarkers (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Effects of Radiation Exposure (3 papers), Immune Cell Function and Interaction (2 papers), PARP inhibition in cancer therapy (2 papers), NF-κB Signaling Pathways (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (228 citations), Oncology (267 citations), Cancer Research (107 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Hematology (45 citations). Daniel Heylmann has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Bernd Kaina, Thomas Kindler, Martina Bauer, Franz Rödel, Michael Goldstein, Jörg Fahrer, Markus Christmann, Viviane Ponath, Nina Seiwert and Solveig Hasselwander. Their work appears in journals such as DNA repair, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Cell Death and Disease and PLoS ONE.
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.