Nikolas Schopow
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Cancer Genomics and Diagnostics
Papers in
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- Sarcoma Diagnosis and Treatment 3
- Ferroptosis and cancer prognosis 3
- Oncology 7
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
- Vascular Tumors and Angiosarcomas 2
- Co-authors
- Georg Osterhoff (17 shared papers)Changwu Wu (9 shared papers)Sonja Kallendrusch (9 shared papers)Chao Deng (3 shared papers)Christoph Josten (4 shared papers)Kristian Nikolaus Schneider (2 shared papers)Ingo Bechmann (2 shared papers)Jun Tan (2 shared papers)
In The Last Decade
Nikolas Schopow
20 papers receiving 278 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 18
- Cancer Research 38
- Oncology 55
- Immunology 34
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Nikolas Schopow
This map shows the geographic impact of Nikolas Schopow'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 Nikolas Schopow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolas Schopow more than expected).
Fields of papers citing papers by Nikolas Schopow
This network shows the impact of papers produced by Nikolas Schopow. 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 Nikolas Schopow. The network helps show where Nikolas Schopow may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikolas Schopow, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2016 | 46 | |
| 3 | 2023 | 37 | |
| 4 | 2024 | 24 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2016 | 1 |
About Nikolas Schopow
Nikolas Schopow is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Rheumatology and Genetics, having authored 23 papers that have together received 281 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Vascular Tumors and Angiosarcomas (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Trauma and Emergency Care Studies (2 papers). The work is most often cited by research in Health Informatics (18 citations), Cancer Research (38 citations), Oncology (55 citations), Immunology (34 citations) and Pulmonary and Respiratory Medicine (49 citations). Nikolas Schopow has collaborated with scholars based in Germany and China. Frequent co-authors include Georg Osterhoff, Changwu Wu, Sonja Kallendrusch, Chao Deng, Christoph Josten, Kristian Nikolaus Schneider, Ingo Bechmann, Jun Tan, Christian Wittekind and Georg Gosheger. Their work appears in journals such as Journal of Biomedical Science, International Journal of Molecular Sciences, Cancers, Digital Health and Genes.
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.