Heiko Enderling
Impact in
- Modeling and Simulation top 0.1%
- Mathematical Biology Tumor Growth
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 64
- Cancer Cells and Metastasis 37
- Cancer Immunotherapy and Biomarkers 14
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- Mathematical Biology Tumor Growth 61
- Co-authors
- Philip Hahnfeldt (16 shared papers)Lynn Hlatky (13 shared papers)Mark A. J. Chaplain (7 shared papers)Jan Poleszczuk (18 shared papers)Alexander R.A. Anderson (8 shared papers)Eduardo G. Moros (19 shared papers)Renee Brady‐Nicholls (9 shared papers)Jimmy J. Caudell (19 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (11 papers)Bulletin of Mathematical Biology (11 papers)Cancer Research (5 papers)Frontiers in Oncology (4 papers)Neoplasia (3 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Heiko Enderling
116 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 1.6k
- Cancer Research 840
- Oncology 1.4k
- Cell Biology 525
- Radiation 247
Countries citing papers authored by Heiko Enderling
This map shows the geographic impact of Heiko Enderling'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 Heiko Enderling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Enderling more than expected).
Fields of papers citing papers by Heiko Enderling
This network shows the impact of papers produced by Heiko Enderling. 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 Heiko Enderling. The network helps show where Heiko Enderling may publish in the future.
Co-authors
The 25 scholars most cited alongside Heiko Enderling, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2009 | 140 | |
| 3 | 2006 | 139 | |
| 4 | 2014 | 135 | |
| 5 | 2019 | 111 | |
| 6 | 2012 | 106 | |
| 7 | 2009 | 98 | |
| 8 | 2016 | 92 | |
| 9 | 2005 | 85 | |
| 10 | 2015 | 82 | |
| 11 | 2012 | 79 | |
| 12 | 2020 | 65 | |
| 13 | 2014 | 64 | |
| 14 | 2017 | 61 | |
| 15 | 2011 | 55 | |
| 16 | 2008 | 55 | |
| 17 | 2015 | 53 | |
| 18 | 2019 | 53 | |
| 19 | 2010 | 52 | |
| 20 | 2009 | 52 |
About Heiko Enderling
Heiko Enderling is a scholar working on Oncology, Modeling and Simulation, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (61 papers), Cancer Cells and Metastasis (37 papers), Cancer Genomics and Diagnostics (25 papers), Microtubule and mitosis dynamics (17 papers), Advanced Radiotherapy Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Cancer Immunotherapy and Biomarkers (14 papers) and Effects of Radiation Exposure (12 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Cancer Research (840 citations), Oncology (1.4k citations), Cell Biology (525 citations) and Radiation (247 citations). Heiko Enderling has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Philip Hahnfeldt, Lynn Hlatky, Mark A. J. Chaplain, Jan Poleszczuk, Alexander R.A. Anderson, Eduardo G. Moros, Renee Brady‐Nicholls, Jimmy J. Caudell, Louis B. Harrison and Jayant S. Vaidya. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Bulletin of Mathematical Biology, Cancer Research, Frontiers in Oncology and Neoplasia.
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.