Sigrid Klaar
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 1%
- Genetics top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Jonas BerghJohanna SmedsPer HallAlexander PlonerYudi PawitanLance D. MillerEdison T. LiuVinsensius B. Vega
- Topics
- Cancer-related Molecular Pathways (6 papers)HER2/EGFR in Cancer Research (5 papers)Cancer Genomics and Diagnostics (5 papers)
In The Last Decade
Sigrid Klaar
16 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.7k
- Oncology 1.2k
- Cancer Research 1.1k
- Genetics 263
- Pulmonary and Respiratory Medicine 260
Countries citing papers authored by Sigrid Klaar
This map shows the geographic impact of Sigrid Klaar'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 Sigrid Klaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sigrid Klaar more than expected).
Fields of papers citing papers by Sigrid Klaar
This network shows the impact of papers produced by Sigrid Klaar. 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 Sigrid Klaar. The network helps show where Sigrid Klaar may publish in the future.
Co-authorship network of co-authors of Sigrid Klaar
This figure shows the co-authorship network connecting the top 25 collaborators of Sigrid Klaar. A scholar is included among the top collaborators of Sigrid Klaar 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 Sigrid Klaar. Sigrid Klaar 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 | 28 | |
| 3 | 31 | |
| 4 | 205 | |
| 5 | 15 | |
| 6 | 439 | |
| 7 | An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survivalbreakdown → | 966 |
| 8 | Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohortsbreakdown → | 613 |
| 9 | 46 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | Increased p53 mutation frequency during tumor progression--results from a breast cancer cohort. | 42 |
| 15 | 5 | |
| 16 | The expression of vascular endothelial growth factor correlates with mutant p53 and poor prognosis in human breast cancer. | 128 |
| 17 | 12 |
About Sigrid Klaar
Sigrid Klaar is a scholar working on Cancer Research, Oncology and Dermatology, having authored 17 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), HER2/EGFR in Cancer Research (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.2k citations) and Molecular Biology (1.7k citations). Sigrid Klaar has collaborated with scholars based in Sweden, Singapore and Finland. Frequent co-authors include Jonas Bergh, Johanna Smeds, Per Hall, Alexander Ploner, Yudi Pawitan, Lance D. Miller, Edison T. Liu, Vinsensius B. Vega, Joshy George and Liza A. Vergara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Cancer Research and Annals of Oncology.
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.