Margareta Ek

24 total papers · 767 total citations
16 papers, 624 citations indexed

About

Margareta Ek is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Margareta Ek has authored 16 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Margareta Ek's work include RNA and protein synthesis mechanisms (5 papers), Photosynthetic Processes and Mechanisms (4 papers) and Biochemical and Molecular Research (3 papers). Margareta Ek is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Photosynthetic Processes and Mechanisms (4 papers) and Biochemical and Molecular Research (3 papers). Margareta Ek collaborates with scholars based in Sweden, United States and Singapore. Margareta Ek's co-authors include Peter Brzezinski, Pia Ädelroth, Patrik Johansson, David M. Mitchell, Robert B. Gennis, Gisela Brändén, Tove Sjögren, Gang Liu, Arjan Snijder and Hongming Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Margareta Ek

16 papers receiving 612 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Margareta Ek	496	180	110	85	59	16	624
Gisela Brändén	541 1.1×	201 1.1×	51 0.5×	68 0.8×	77 1.3×	29	758
Gina M. Clayton	437 0.9×	236 1.3×	73 0.7×	98 1.2×	12 0.2×	12	789
Peter Moser	323 0.7×	44 0.2×	56 0.5×	145 1.7×	23 0.4×	11	652
Nicholas P. Labello	351 0.7×	26 0.1×	47 0.4×	135 1.6×	50 0.8×	11	595
Hiroyuki Kurihara	470 0.9×	52 0.3×	21 0.2×	134 1.6×	29 0.5×	33	778
Tadao Shibanuma	488 1.0×	72 0.4×	41 0.4×	329 3.9×	20 0.3×	27	784
Weixiao Yuan Wahlgren	360 0.7×	75 0.4×	27 0.2×	33 0.4×	41 0.7×	25	555
Aldino Viegas	498 1.0×	30 0.2×	59 0.5×	101 1.2×	17 0.3×	29	784
Yui S. Tang	234 0.5×	94 0.5×	56 0.5×	139 1.6×	9 0.2×	18	579
Bernard‐Pierre Roques	353 0.7×	87 0.5×	19 0.2×	88 1.0×	40 0.7×	18	577

Countries citing papers authored by Margareta Ek

Since Specialization

Citations

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

Fields of papers citing papers by Margareta Ek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margareta Ek

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

All Works

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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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