Helge Täubert
- Molecular Biology top 1%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 5%
- Co-authors
- Peter WürlFrank BartelMatthias BacheAxel MeyeMatthias KapplerThomas GreitherSven WachHannelore Schmidt
- Topics
- Sarcoma Diagnosis and Treatment (48 papers)Cancer-related Molecular Pathways (45 papers)Bladder and Urothelial Cancer Treatments (30 papers)
- Journals
- CellJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Helge Täubert
241 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 4.3k
- Oncology 2.9k
- Cancer Research 2.3k
- Pulmonary and Respiratory Medicine 1.3k
- Surgery 718
Countries citing papers authored by Helge Täubert
This map shows the geographic impact of Helge Täubert'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 Helge Täubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helge Täubert more than expected).
Fields of papers citing papers by Helge Täubert
This network shows the impact of papers produced by Helge Täubert. 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 Helge Täubert. The network helps show where Helge Täubert may publish in the future.
Co-authorship network of co-authors of Helge Täubert
This figure shows the co-authorship network connecting the top 25 collaborators of Helge Täubert. A scholar is included among the top collaborators of Helge Täubert 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 Helge Täubert. Helge Täubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 9 | |
| 11 | 74 | |
| 12 | 51 | |
| 13 | 32 | |
| 14 | 20 | |
| 15 | 43 | |
| 16 | 20 | |
| 17 | Predicting MACE breeding values on a phantom country scale | 0 |
| 18 | The Interbull audit project part I - Results of an international survey | 1 |
| 19 | ESTIMATION OF GENETIC PARAMETERS FOR FARROWING TRAITS IN PUREBRED AND CROSSBRED SOWS AND ESTIMATION OF THEIR GENETIC RELATIONSHIPS | 2 |
| 20 | 1 |
About Helge Täubert
Helge Täubert is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 247 papers that have together received 7.1k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (48 papers), Cancer-related Molecular Pathways (45 papers) and Bladder and Urothelial Cancer Treatments (30 papers). The work is most often cited by research in Cancer Research (2.3k citations), Oncology (2.9k citations) and Molecular Biology (4.3k citations). Helge Täubert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter Würl, Frank Bartel, Matthias Bache, Axel Meye, Matthias Kappler, Thomas Greither, Sven Wach, Hannelore Schmidt, Bernd Wullich and Gareth L. Bond. Their work appears in journals such as Cell, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.