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
-
- Statistical Methods in Clinical Trials 5
- Statistical Methods and Inference 4
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- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 2
- Co-authors
- Stefan Michiels (7 shared papers)Federico Rotolo (6 shared papers)Ariane Dunant (1 shared paper)Axel Le Cesne (1 shared paper)Charles Honoré (1 shared paper)Andrea Marrari (1 shared paper)Federica Perrone (1 shared paper)Chiara Colombo (1 shared paper)
- Journals
- Annals of Oncology (4 papers)Bioinformatics (2 papers)Cancer Research (2 papers)Journal of the American Society of Nephrology (1 paper)The Pharmacogenomics Journal (1 paper)
- Partner nations
- FranceUnited StatesCzechia
In The Last Decade
Nils Ternès
24 papers receiving 578 citations
Peers
Comparison fields: 5 of 75
- Rheumatology 179
- Pulmonary and Respiratory Medicine 162
- Transplantation 13
- Statistics and Probability 43
- Oncology 112
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 168 | |
| 2 | 2014 | 100 | |
| 3 | 2016 | 79 | |
| 4 | 2023 | 41 | |
| 5 | 2022 | 40 | |
| 6 | 2016 | 30 | |
| 7 | 2016 | 28 | |
| 8 | 2023 | 18 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2017 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2021 | 2 |
About Nils Ternès
Nils Ternès is a scholar working on Statistics and Probability, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 25 papers that have together received 581 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Gene expression and cancer classification (4 papers), Advanced Breast Cancer Therapies (4 papers), Statistical Methods and Inference (4 papers), HER2/EGFR in Cancer Research (3 papers), Estrogen and related hormone effects (2 papers), Bioinformatics and Genomic Networks (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Rheumatology (179 citations), Pulmonary and Respiratory Medicine (162 citations), Transplantation (13 citations), Statistics and Probability (43 citations) and Oncology (112 citations). Nils Ternès has collaborated with scholars based in France, United States and Czechia. Frequent co-authors include Stefan Michiels, Federico Rotolo, Ariane Dunant, Axel Le Cesne, Charles Honoré, Andrea Marrari, Federica Perrone, Chiara Colombo, Alessandro Gronchi and Marco Fiore. Their work appears in journals such as Annals of Oncology, Bioinformatics, Cancer Research, Journal of the American Society of Nephrology and The Pharmacogenomics Journal.
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.