Annette Kopp‐Schneider
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 2%
- Cancer Research top 2%
- Co-authors
- Uwe HaberkornAntonia Dimitrakopoulou‐StraussChristopher J. PortierHans‐Ulrich KauczorChristos SachpekidisJessica C. HasselMonika EichingerLutz Edler
- Topics
- Statistical Methods in Clinical Trials (28 papers)Carcinogens and Genotoxicity Assessment (16 papers)Cancer Immunotherapy and Biomarkers (15 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Annette Kopp‐Schneider
212 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 182
- Molecular Biology 2.1k
- Pulmonary and Respiratory Medicine 1.5k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Oncology 1.3k
- Cancer Research 857
Countries citing papers authored by Annette Kopp‐Schneider
This map shows the geographic impact of Annette Kopp‐Schneider'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 Annette Kopp‐Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annette Kopp‐Schneider more than expected).
Fields of papers citing papers by Annette Kopp‐Schneider
This network shows the impact of papers produced by Annette Kopp‐Schneider. 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 Annette Kopp‐Schneider. The network helps show where Annette Kopp‐Schneider may publish in the future.
Co-authorship network of co-authors of Annette Kopp‐Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Annette Kopp‐Schneider. A scholar is included among the top collaborators of Annette Kopp‐Schneider based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Annette Kopp‐Schneider. Annette Kopp‐Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 48 | |
| 13 | 59 | |
| 14 | 194 | |
| 15 | 158 | |
| 16 | 320 | |
| 17 | Proteomic analysis of TCDD-mediated effects in marmoset liver and thymus | 1 |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 12 |
About Annette Kopp‐Schneider
Annette Kopp‐Schneider is a scholar working on Statistics and Probability, Modeling and Simulation and Cancer Research, having authored 221 papers that have together received 6.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (28 papers), Carcinogens and Genotoxicity Assessment (16 papers) and Cancer Immunotherapy and Biomarkers (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Cancer Research (857 citations) and Oncology (1.3k citations). Annette Kopp‐Schneider has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Uwe Haberkorn, Antonia Dimitrakopoulou‐Strauss, Christopher J. Portier, Hans‐Ulrich Kauczor, Christos Sachpekidis, Jessica C. Hassel, Monika Eichinger, Lutz Edler, Olaf Witt and Michael Puderbach. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Nucleic Acids Research.
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.