Sigrid Klaar

3.5k total citations · 2 hit papers
17 papers, 2.6k citations indexed

About

Sigrid Klaar is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Sigrid Klaar has authored 17 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Sigrid Klaar's work include Cancer-related Molecular Pathways (6 papers), HER2/EGFR in Cancer Research (5 papers) and Cancer Genomics and Diagnostics (5 papers). Sigrid Klaar is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), HER2/EGFR in Cancer Research (5 papers) and Cancer Genomics and Diagnostics (5 papers). Sigrid Klaar collaborates with scholars based in Sweden, Singapore and Finland. Sigrid Klaar's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Sigrid Klaar

16 papers receiving 2.5k citations

Hit Papers

An expression signature for p53 status in human breast ca... 2005 2026 2012 2019 2005 2005 250 500 750

Peers

Sigrid Klaar
Comparison fields: 5 of 84
  • Molecular Biology 1.7k
  • Oncology 1.2k
  • Cancer Research 1.1k
  • Genetics 263
  • Pulmonary and Respiratory Medicine 260
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Andrea Bild United States
Tim Jatkoe United States
Véronique Becette France
Viviane Praz Switzerland
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Kristine Kleivi Sahlberg Norway
Klaus‐Jürgen Winzer Germany
Hege G. Russnes Norway
Jaana Lahti‐Domenici United States
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Citations per field, relative to Sigrid Klaar
Sigrid Klaar · 1×
Citations per year, relative to Sigrid Klaar
Sigrid Klaar · 1×

Countries citing papers authored by Sigrid Klaar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
# 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 survival breakdown →
966
8
Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts breakdown →
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

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.

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