Markus Eckstein
Impact in
- Health Informatics top 5%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Co-authors
- Arndt Hartmann (89 shared papers)Johannes Breyer (35 shared papers)Philipp Erben (33 shared papers)Wolfgang Otto (20 shared papers)Bernd Wullich (37 shared papers)Ralph M. Wirtz (23 shared papers)Robert Stoehr (16 shared papers)Maximilian Burger (17 shared papers)
- Journals
- Cancers (13 papers)Journal of Clinical Oncology (11 papers)European Archives of Oto-Rhino-Laryngology (6 papers)European Urology (6 papers)International Journal of Molecular Sciences (6 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Markus Eckstein
191 papers receiving 2.6k citations
Markus Eckstein's Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 48
- Oncology 760
- Surgery 958
- Cancer Research 252
- Otorhinolaryngology 71
Countries citing papers authored by Markus Eckstein
This map shows the geographic impact of Markus Eckstein'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 Markus Eckstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Eckstein more than expected).
Fields of papers citing papers by Markus Eckstein
This network shows the impact of papers produced by Markus Eckstein. 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 Markus Eckstein. The network helps show where Markus Eckstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Eckstein, 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 213 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer Hit paper breakdown → | 2023 | 155 |
| 2 | 2020 | 120 | |
| 3 | 2020 | 97 | |
| 4 | Bispecific T cell engager therapy for refractory rheumatoid arthritis Hit paper breakdown → | 2024 | 85 |
| 5 | 2021 | 77 | |
| 6 | 2019 | 77 | |
| 7 | 2020 | 67 | |
| 8 | 2017 | 55 | |
| 9 | 2019 | 52 | |
| 10 | 2020 | 51 | |
| 11 | 2017 | 50 | |
| 12 | 2023 | 43 | |
| 13 | 2021 | 42 | |
| 14 | 2018 | 35 | |
| 15 | 2021 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2018 | 32 | |
| 18 | 2019 | 31 | |
| 19 | 2018 | 28 | |
| 20 | 2021 | 28 |
About Markus Eckstein
Markus Eckstein is a scholar working on Surgery, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 213 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (83 papers), Urinary and Genital Oncology Studies (39 papers), Cancer Immunotherapy and Biomarkers (31 papers), Renal cell carcinoma treatment (13 papers), Head and Neck Cancer Studies (13 papers), Epigenetics and DNA Methylation (12 papers), AI in cancer detection (11 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Health Informatics (48 citations), Oncology (760 citations), Surgery (958 citations), Cancer Research (252 citations) and Otorhinolaryngology (71 citations). Markus Eckstein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Arndt Hartmann, Johannes Breyer, Philipp Erben, Wolfgang Otto, Bernd Wullich, Ralph M. Wirtz, Robert Stoehr, Maximilian Burger, Sebastian Foersch and Danijel Sikic. Their work appears in journals such as Cancers, Journal of Clinical Oncology, European Archives of Oto-Rhino-Laryngology, European Urology and International Journal of Molecular Sciences.
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.