Catharina Claesson

417 total citations
8 papers, 333 citations indexed

About

Catharina Claesson is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Catharina Claesson has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Epidemiology. Recurrent topics in Catharina Claesson's work include RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers) and RNA modifications and cancer (2 papers). Catharina Claesson is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers) and RNA modifications and cancer (2 papers). Catharina Claesson collaborates with scholars based in Sweden and Poland. Catharina Claesson's co-authors include Sven‐Olof Olofsson, Jan Borén, Lennart Asp, Florentyna Lustig, Thomas Börén, Ulf Lagerkvist, Mirosława Z. Barciszewska, M. Barciszewska, Daniel Lindén and Li Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Catharina Claesson

8 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catharina Claesson Sweden	7	236	65	61	55	40	8	333
G P Hough United States	7	125 0.5×	51 0.8×	88 1.4×	19 0.3×	28 0.7×	7	331
Fayanne E. Thorngate United States	10	190 0.8×	61 0.9×	125 2.0×	23 0.4×	105 2.6×	11	387
Mahmood R. Kazemi United States	7	174 0.7×	96 1.5×	67 1.1×	50 0.9×	72 1.8×	8	405
Takahiro Kuwasako Japan	3	165 0.7×	45 0.7×	41 0.7×	16 0.3×	58 1.4×	5	257
Daniel S. Meyers United States	5	189 0.8×	88 1.4×	121 2.0×	30 0.5×	29 0.7×	7	369
Annelise M. Poss United States	8	196 0.8×	64 1.0×	46 0.8×	34 0.6×	50 1.3×	9	305
Katy Raddatz Australia	10	236 1.0×	81 1.2×	44 0.7×	30 0.5×	41 1.0×	10	392
Nicole Witte Germany	8	195 0.8×	61 0.9×	58 1.0×	20 0.4×	40 1.0×	10	310
Julien Bricambert France	3	199 0.8×	125 1.9×	123 2.0×	44 0.8×	73 1.8×	3	340
Aoi Satoh Japan	10	169 0.7×	81 1.2×	81 1.3×	22 0.4×	65 1.6×	10	278

Countries citing papers authored by Catharina Claesson

Since Specialization

Citations

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

Fields of papers citing papers by Catharina Claesson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catharina Claesson

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lindén, Daniel, Jan Oscarsson, Catharina Claesson, et al.. (2002). Influence of Peroxisome Proliferator-activated Receptor α Agonists on the Intracellular Turnover and Secretion of Apolipoprotein (Apo) B-100 and ApoB-48. Journal of Biological Chemistry. 277(25). 23044–23053. 78 indexed citations

2.

Asp, Lennart, Catharina Claesson, Jan Borén, & Sven‐Olof Olofsson. (2000). ADP-ribosylation Factor 1 and Its Activation of Phospholipase D Are Important for the Assembly of Very Low Density Lipoproteins. Journal of Biological Chemistry. 275(34). 26285–26292. 62 indexed citations

3.

Rustaeus, Sabina, Catharina Claesson, Lennart Asp, et al.. (1999). Assembly of Very Low Density Lipoprotein: A Two-Step Process of Apolipoprotein B Core Lipidation. Journal of Nutrition. 129(2). 463S–466S. 57 indexed citations

4.

Olofsson, S., et al.. (1999). The assembly of VLDL: A two step process. Atherosclerosis. 144. 4–4. 1 indexed citations

5.

Claesson, Catharina, et al.. (1995). Glycine Codon Discrimination and the Nucleotide inPosition 32 of the Anticodon Loop. Journal of Molecular Biology. 247(2). 191–196. 37 indexed citations

6.

Börén, Thomas, Per Elias, Tore Samuelsson, et al.. (1993). Undiscriminating Codon Reading with Adenosine in the Wobble Position. Journal of Molecular Biology. 230(3). 739–749. 30 indexed citations

7.

Lustig, Florentyna, et al.. (1993). The nucleotide in position 32 of the tRNA anticodon loop determines ability of anticodon UCC to discriminate among glycine codons.. Proceedings of the National Academy of Sciences. 90(8). 3343–3347. 52 indexed citations

8.

Claesson, Catharina, Tore Samuelsson, Florentyna Lustig, & Thomas Börén. (1990). Codon reading properties of an unmodified transfer RNA. FEBS Letters. 273(1-2). 173–176. 16 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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