Nils Ternès
Impact in
- Rheumatology top 5%
- Soft tissue tumor case studies
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- Sarcoma Diagnosis and Treatment
- Advanced Breast Cancer Therapies
Papers in
-
- Gene expression and cancer classification 6
- Bioinformatics and Genomic Networks 3
- Metabolomics and Mass Spectrometry Studies 2
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- Statistical Methods and Inference 6
- Statistical Methods in Clinical Trials 6
- Co-authors
- Stefan Michiels (6 shared papers)Federico Rotolo (5 shared papers)Sylvie Bonvalot (1 shared paper)Alessandro Gronchi (1 shared paper)Ariane Dunant (1 shared paper)Chiara Colombo (1 shared paper)Axel Le Cesne (1 shared paper)Andrea Marrari (1 shared paper)
- Journals
- Annals of Oncology (4 papers)Bioinformatics (2 papers)Cancer Research (2 papers)Nature Communications (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- FranceUnited StatesCzechia
In The Last Decade
Nils Ternès
23 papers receiving 542 citations
Peers
Comparison fields: 5 of 80
- Rheumatology 182
- Pulmonary and Respiratory Medicine 254
- Pathology and Forensic Medicine 103
- Oncology 156
- Cancer Research 83
Countries citing papers authored by Nils Ternès
This map shows the geographic impact of Nils Ternès'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 Nils Ternès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nils Ternès more than expected).
Fields of papers citing papers by Nils Ternès
This network shows the impact of papers produced by Nils Ternès. 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 Nils Ternès. The network helps show where Nils Ternès may publish in the future.
Co-authors
The 25 scholars most cited alongside Nils Ternès, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 162 | |
| 2 | 2014 | 97 | |
| 3 | 2016 | 75 | |
| 4 | 2022 | 40 | |
| 5 | 2023 | 37 | |
| 6 | 2016 | 28 | |
| 7 | 2016 | 23 | |
| 8 | 2023 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 9 | |
| 11 | 2015 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 2 |
About Nils Ternès
Nils Ternès is a scholar working on Molecular Biology, Statistics and Probability, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 24 papers that have together received 545 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Statistical Methods in Clinical Trials (6 papers), Gene expression and cancer classification (6 papers), HER2/EGFR in Cancer Research (5 papers), Advanced Breast Cancer Therapies (5 papers), Breast Cancer Treatment Studies (3 papers), Bioinformatics and Genomic Networks (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Rheumatology (182 citations), Pulmonary and Respiratory Medicine (254 citations), Pathology and Forensic Medicine (103 citations), Oncology (156 citations) and Cancer Research (83 citations). Nils Ternès has collaborated with scholars based in France, United States and Czechia. Frequent co-authors include Stefan Michiels, Federico Rotolo, Sylvie Bonvalot, Alessandro Gronchi, Ariane Dunant, Chiara Colombo, Axel Le Cesne, Andrea Marrari, Charles Honoré and Marco Fiore. Their work appears in journals such as Annals of Oncology, Bioinformatics, Cancer Research, Nature Communications and BMC Bioinformatics.
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.