Christofer Bäcklin

741 citations
10 papers · 185 · h-index 6

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • Lung Cancer Research Studies 2
    • Pancreatic and Hepatic Oncology Research 1

Christofer Bäcklin

8 papers receiving 179 citations

Peers

Christofer Bäcklin
Comparison fields: 5 of 60
  • Rheumatology 30
  • Cancer Research 21
  • Immunology 26
  • Molecular Biology 87
  • Biological Psychiatry 2
Replace Samuel Q. Li with:
Samuel Q. Li United States
Minna Turkkila Sweden
Danielle Cohen Netherlands
Shuyuan Xian China
Nadina Ortiz‐Brüchle Germany
Ronald P. Schuyler United States
Paymann Harirchian United States
Jack Bibby United States
Maria Chiara Gelmi Netherlands
Amanda Schulman United States
Christofer Bäcklin relative to Samuel Q. Li United States Samuel Q. Li's profile →
Citations per field
00.5×1.5×2.4×
Samuel Q. Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Christofer Bäcklin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christofer Bäcklin Line = papers co-authored together Christofer Bäcklin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201177
2 201740
3 201621
4 201520
5 201811
6 202110
7 20184
8 20182
9
DNA methylation-based prediction of in vitro drug resistance in primary pediatric acute lymphoblastic leukemia patient samples
20150
10
Bayesian model averaging of adaptive bandwidth kernel density estimators yields state-of-the-art performance
20150

About Christofer Bäcklin

Christofer Bäcklin is a scholar working on Molecular Biology, Oncology, Epidemiology, Artificial Intelligence and Cancer Research, having authored 10 papers that have together received 185 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Lung Cancer Research Studies (2 papers), Acute Myeloid Leukemia Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Syndromes and Imprinting (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Rheumatology (30 citations), Cancer Research (21 citations), Immunology (26 citations), Molecular Biology (87 citations) and Biological Psychiatry (2 citations). Christofer Bäcklin has collaborated with scholars based in Sweden, Finland and Norway. Frequent co-authors include Mats G. Gustafsson, Rachel Yuan Nong, Simon Heath, Simon Fredriksson, Agneta Siegbahn, Ulf Landegren, Lars Wallentin, Marta Gut, Spyros Darmanis and Olle Ericsson. Their work appears in journals such as Bioinformatics, Pattern Recognition, Neuroendocrinology, Scientific Reports and Journal of Statistical Software.

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.

Explore authors with similar magnitude of impact