Lars O. Baumbusch

2.0k total citations
43 papers, 1.3k citations indexed

About

Lars O. Baumbusch is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lars O. Baumbusch has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 16 papers in Molecular Biology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lars O. Baumbusch's work include Neonatal Respiratory Health Research (13 papers), Cancer Genomics and Diagnostics (12 papers) and Genomic variations and chromosomal abnormalities (7 papers). Lars O. Baumbusch is often cited by papers focused on Neonatal Respiratory Health Research (13 papers), Cancer Genomics and Diagnostics (12 papers) and Genomic variations and chromosomal abnormalities (7 papers). Lars O. Baumbusch collaborates with scholars based in Norway, Poland and United States. Lars O. Baumbusch's co-authors include Ole Christian Lingjærde, Knut Liestøl, Anne‐Lise Børresen‐Dale, Ingrid K. Glad, Bjørn Naume, Gro Nilsen, Ola Didrik Saugstad, Peter Van Loo, Roslin Russell and Carlos Caldas and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Lars O. Baumbusch

41 papers receiving 1.3k citations

Peers

Lars O. Baumbusch
Marco Barchi Italy
Sarah E. McClelland United Kingdom
Jingde Zhu China
Peter Ly United States
Joshua B. Stevens United States
Christine J. Ye United States
Michelle Ricoul France
Tomoki Yokochi Japan
Liviu Malureanu United States
Steven W. Bremer United States
Marco Barchi Italy
Lars O. Baumbusch
Citations per year, relative to Lars O. Baumbusch Lars O. Baumbusch (= 1×) peers Marco Barchi

Countries citing papers authored by Lars O. Baumbusch

Since Specialization
Citations

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

Fields of papers citing papers by Lars O. Baumbusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars O. Baumbusch. 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 Lars O. Baumbusch. The network helps show where Lars O. Baumbusch may publish in the future.

Co-authorship network of co-authors of Lars O. Baumbusch

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

All Works

20 of 20 papers shown
1.
2.
Muinck, Eric J. de, Pål Trosvik, Nga Nguyen, et al.. (2023). Reduced abundance of Faecalibacterium prausnitzii in the gut microbiota of children diagnosed with cancer, a pilot study. SHILAP Revista de lepidopterología. 2. 1151889–1151889. 1 indexed citations
3.
Solberg, Rønnaug, et al.. (2022). Assessing nuclear versus mitochondrial cell-free DNA (cfDNA) by qRT-PCR and droplet digital PCR using a piglet model of perinatal asphyxia. Molecular Biology Reports. 50(2). 1533–1544. 4 indexed citations
4.
Przybyła, Weronika, Ståle Nygård, Solveig Engebretsen, et al.. (2022). Whole exome sequencing of high-risk neuroblastoma identifies novel non-synonymous variants. PLoS ONE. 17(8). e0273280–e0273280. 5 indexed citations
5.
Madetko‐Talowska, Anna, Lars O. Baumbusch, Katarzyna Szewczyk, et al.. (2020). Transcriptome analysis reveals dysregulation of genes involved in oxidative phosphorylation in a murine model of retinopathy of prematurity. Pediatric Research. 88(3). 391–397. 4 indexed citations
6.
Saugstad, Ola Didrik, et al.. (2019). Quantification of circulating cell-free DNA (cfDNA) in urine using a newborn piglet model of asphyxia. PLoS ONE. 14(12). e0227066–e0227066. 4 indexed citations
7.
Bik-Multanowski, Mirosław, Clara‐Cecilie Günther, Anna Madetko‐Talowska, et al.. (2019). Immune System Regulation Affected by a Murine Experimental Model of Bronchopulmonary Dysplasia: Genomic and Epigenetic Findings. Neonatology. 116(3). 269–277. 16 indexed citations
8.
Madetko‐Talowska, Anna, Lars O. Baumbusch, Katarzyna Szewczyk, et al.. (2019). Short- and long-term impact of hyperoxia on the blood and retinal cells’ transcriptome in a mouse model of oxygen-induced retinopathy. Pediatric Research. 87(3). 485–493. 11 indexed citations
9.
Rueegg, Corina S., et al.. (2018). Temporal patterns of circulating cell-free DNA (cfDNA) in a newborn piglet model of perinatal asphyxia. PLoS ONE. 13(11). e0206601–e0206601. 8 indexed citations
10.
Kaveh, Fatemeh, Lars O. Baumbusch, Daniel Nebdal, et al.. (2016). A systematic comparison of copy number alterations in four types of female cancer. BMC Cancer. 16(1). 913–913. 16 indexed citations
11.
Solberg, Rønnaug, Nils Bolstad, Anders Skinningsrud, et al.. (2015). Perinatal Asphyxia May Influence the Level of Beta-Amyloid (1-42) in Cerebrospinal Fluid: An Experimental Study on Newborn Pigs. PLoS ONE. 10(10). e0140966–e0140966. 18 indexed citations
12.
Reiche, Kristin, Katharina Kasack, S Schreiber, et al.. (2014). Long Non-Coding RNAs Differentially Expressed between Normal versus Primary Breast Tumor Tissues Disclose Converse Changes to Breast Cancer-Related Protein-Coding Genes. PLoS ONE. 9(9). e106076–e106076. 35 indexed citations
13.
Liu, Yanhong, Renke Zhou, Lars O. Baumbusch, et al.. (2013). Genomic copy number imbalances associated with bone and non-bone metastasis of early-stage breast cancer. Breast Cancer Research and Treatment. 143(1). 189–201. 8 indexed citations
14.
Otto, Benjamin, Christina Heinlein, Florian Wegwitz, et al.. (2012). Low‐grade and high‐grade mammary carcinomas in WAP‐T transgenic mice are independent entities distinguished by Met expression. International Journal of Cancer. 132(6). 1300–1310. 16 indexed citations
15.
Nilsen, Gro, Knut Liestøl, Peter Van Loo, et al.. (2012). Copynumber: Efficient algorithms for single- and multi-track copy number segmentation. BMC Genomics. 13(1). 591–591. 156 indexed citations
16.
Baumbusch, Lars O., Jørgen Aarøe, James Hicks, et al.. (2008). Comparison of the Agilent, ROMA/NimbleGen and Illumina platforms for classification of copy number alterations in human breast tumors. BMC Genomics. 9(1). 379–379. 41 indexed citations
17.
Baumbusch, Lars O., et al.. (2006). Genetic control of plant embryogenesis and embryo dormancy in Arabidopsis.. 417–428. 1 indexed citations
18.
Baumbusch, Lars O., Simen Myhre, Anita Langerød, et al.. (2006). Expression of full-length p53 and its isoform Deltap53 in breast carcinomas in relation to mutation status and clinical parameters.. Molecular Cancer. 5(1). 47–47. 20 indexed citations
19.
Lingjærde, Ole Christian, Lars O. Baumbusch, Knut Liestøl, Ingrid K. Glad, & Anne‐Lise Børresen‐Dale. (2004). CGH-Explorer: a program for analysis of array-CGH data. Bioinformatics. 21(6). 821–822. 149 indexed citations
20.
Polle, Andrea, et al.. (1999). Growth and protection against oxidative stress in young clones and mature spruce trees ( Picea abies L.) at high altitudes. Oecologia. 121(2). 149–156. 19 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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