Christofer Bäcklin

732 total citations
10 papers, 177 citations indexed

About

Christofer Bäcklin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Christofer Bäcklin has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Christofer Bäcklin's work include Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (2 papers) and Lung Cancer Research Studies (2 papers). Christofer Bäcklin is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (2 papers) and Lung Cancer Research Studies (2 papers). Christofer Bäcklin collaborates with scholars based in Sweden, Denmark and Finland. Christofer Bäcklin's co-authors include Mats G. Gustafsson, Simon Fredriksson, Olle Ericsson, Lars Wallentin, Rachel Yuan Nong, Spyros Darmanis, Masood Kamali‐Moghaddam, Simon Heath, Marta Gut and Ulf Landegren and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Christofer Bäcklin

8 papers receiving 172 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christofer Bäcklin Sweden 6 90 31 31 23 23 10 177
Carla Cossu Italy 6 135 1.5× 14 0.5× 21 0.7× 22 1.0× 41 1.8× 10 208
Danielle Cohen Netherlands 8 42 0.5× 36 1.2× 22 0.7× 52 2.3× 22 1.0× 13 190
Zhipeng Cao Australia 7 110 1.2× 26 0.8× 28 0.9× 48 2.1× 61 2.7× 17 247
Øystein Eikrem Norway 10 170 1.9× 18 0.6× 30 1.0× 30 1.3× 64 2.8× 30 295
Anupriya Dalmia United Kingdom 2 92 1.0× 11 0.4× 15 0.5× 17 0.7× 37 1.6× 2 140
Félicie Sherer Belgium 6 90 1.0× 8 0.3× 46 1.5× 54 2.3× 37 1.6× 7 231
Ronald P. Schuyler United States 8 113 1.3× 27 0.9× 65 2.1× 31 1.3× 13 0.6× 8 226
Takuma Kawakami Japan 5 45 0.5× 41 1.3× 60 1.9× 36 1.6× 17 0.7× 10 176
Janine Roy Germany 6 57 0.6× 11 0.4× 50 1.6× 16 0.7× 15 0.7× 11 174
Mathilde Skaarup Larsen Denmark 8 61 0.7× 13 0.4× 37 1.2× 94 4.1× 25 1.1× 11 197

Countries citing papers authored by Christofer Bäcklin

Since Specialization
Citations

This map shows the geographic impact of Christofer Bäcklin'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 Christofer Bäcklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christofer Bäcklin more than expected).

Fields of papers citing papers by Christofer Bäcklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christofer Bäcklin. 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 Christofer Bäcklin. The network helps show where Christofer Bäcklin may publish in the future.

Co-authorship network of co-authors of Christofer Bäcklin

This figure shows the co-authorship network connecting the top 25 collaborators of Christofer Bäcklin. A scholar is included among the top collaborators of Christofer Bäcklin 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 Christofer Bäcklin. Christofer Bäcklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Palle, Josefine, Christofer Bäcklin, Jonas Abrahamsson, et al.. (2021). DNA Methylation Signatures Predict Cytogenetic Subtype and Outcome in Pediatric Acute Myeloid Leukemia (AML). Genes. 12(6). 895–895. 9 indexed citations
2.
Nordlund, Jessica, Christofer Bäcklin, & Amanda Raine. (2018). Computational and Statistical Analysis of Array-Based DNA Methylation Data. Methods in molecular biology. 1878. 173–191. 2 indexed citations
3.
Bäcklin, Christofer & Mats G. Gustafsson. (2018). Developer-Friendly and Computationally Efficient Predictive Modeling without Information Leakage: The emil Package for R. Journal of Statistical Software. 85(13). 4 indexed citations
4.
Bäcklin, Christofer, Claes Andersson, & Mats G. Gustafsson. (2018). Self-tuning density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance. Pattern Recognition. 78. 133–143. 11 indexed citations
5.
Almlöf, Jonas Carlsson, Andrei Alexsson, Juliana Imgenberg‐Kreuz, et al.. (2017). Novel risk genes for systemic lupus erythematosus predicted by random forest classification. Scientific Reports. 7(1). 6236–6236. 37 indexed citations
6.
Daskalakis, Kosmas, Christofer Bäcklin, Olov Norlén, et al.. (2016). DcR3, TFF3, and Midkine Are Novel Serum Biomarkers in Small Intestinal Neuroendocrine Tumors. Neuroendocrinology. 105(2). 170–181. 20 indexed citations
7.
Marzouka, Nour‐Al‐Dain, Jessica Nordlund, Christofer Bäcklin, et al.. (2015). CopyNumber450kCancer: baseline correction for accurate copy number calling from the 450k methylation array. Bioinformatics. 32(7). 1080–1082. 19 indexed citations
8.
Bäcklin, Christofer, Claes Andersson, & Mats Gustafsson. (2015). Bayesian model averaging of adaptive bandwidth kernel density estimators yields state-of-the-art performance.
9.
Bäcklin, Christofer, Eva Freyhult, Britt‐Marie Frost, et al.. (2015). DNA methylation-based prediction of in vitro drug resistance in primary pediatric acute lymphoblastic leukemia patient samples.
10.
Darmanis, Spyros, Rachel Yuan Nong, Agneta Siegbahn, et al.. (2011). ProteinSeq: High-Performance Proteomic Analyses by Proximity Ligation and Next Generation Sequencing. PLoS ONE. 6(9). e25583–e25583. 75 indexed citations

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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