Christofer Bäcklin

732 citations
10 papers · 177 · h-index 6

Impact in

Papers in

Christofer Bäcklin

8 papers receiving 172 citations

Peers

Christofer Bäcklin
Comparison fields: 5 of 62
  • Rheumatology 31
  • Cancer Research 23
  • Immunology 31
  • Molecular Biology 90
  • Biophysics 5
Replace Nadina Ortiz‐Brüchle with:
Nadina Ortiz‐Brüchle Germany
Ronald P. Schuyler United States
Minna Turkkila Sweden
Zhipeng Cao Australia
Danielle Cohen Netherlands
Carla Cossu Italy
Kevin Huang United States
Audrey Donnart France
Jack Bibby United States
Antonio Rosal‐Vela Spain
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Citations per field
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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 201175
2 201737
3 201620
4 201519
5 201811
6 20219
7 20184
8 20182
9
Bayesian model averaging of adaptive bandwidth kernel density estimators yields state-of-the-art performance
20150
10
DNA methylation-based prediction of in vitro drug resistance in primary pediatric acute lymphoblastic leukemia patient samples
20150

About Christofer Bäcklin

Christofer Bäcklin is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Artificial Intelligence, having authored 10 papers that have together received 177 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Research Studies (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Acute Myeloid Leukemia Research (1 paper), Advanced Data Compression Techniques (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Rheumatology (31 citations), Cancer Research (23 citations), Immunology (31 citations), Molecular Biology (90 citations) and Biophysics (5 citations). Christofer Bäcklin has collaborated with scholars based in Sweden, Spain and Finland. Frequent co-authors include Mats G. Gustafsson, Olle Ericsson, Ulf Landegren, Masood Kamali‐Moghaddam, Simon Fredriksson, Simon Heath, Lars Wallentin, Spyros Darmanis, Marta Gut and Rachel Yuan Nong. Their work appears in journals such as Pattern Recognition, Scientific Reports, Bioinformatics, Journal of Statistical Software and Neuroendocrinology.

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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