Marit Wiersma

19 total papers · 913 total citations
17 papers, 679 citations indexed

About

Marit Wiersma is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marit Wiersma has authored 17 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marit Wiersma's work include Endoplasmic Reticulum Stress and Disease (8 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Autophagy in Disease and Therapy (4 papers). Marit Wiersma is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (8 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Autophagy in Disease and Therapy (4 papers). Marit Wiersma collaborates with scholars based in Netherlands, Germany and United States. Marit Wiersma's co-authors include Bianca J.J.M. Brundel, Deli Zhang, Robert H. Henning, Denise M.S. van Marion, Natasja M.S. de Groot, Eva A.H. Lanters, Femke Hoogstra‐Berends, Rob C. I. Wüst, Riekelt H. Houtkooper and Roelien A. M. Meijering and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

Marit Wiersma

17 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Marit Wiersma	334	242	123	91	89	17	679
Femke Hoogstra‐Berends	346 1.0×	255 1.1×	122 1.0×	54 0.6×	53 0.6×	16	612
G L Engelmann	447 1.3×	264 1.1×	85 0.7×	107 1.2×	39 0.4×	19	740
Jocelyne Blanc	329 1.0×	255 1.1×	101 0.8×	130 1.4×	44 0.5×	20	747
Jean‐Raymond Teyssier	264 0.8×	99 0.4×	34 0.3×	150 1.6×	67 0.8×	31	691
Haihui Pan	343 1.0×	93 0.4×	32 0.3×	103 1.1×	73 0.8×	12	637
Xiaoding Wang	310 0.9×	125 0.5×	188 1.5×	60 0.7×	163 1.8×	16	689
Daniel A. East	469 1.4×	92 0.4×	137 1.1×	93 1.0×	186 2.1×	12	726
Zuzana Nichtová	453 1.4×	115 0.5×	133 1.1×	97 1.1×	82 0.9×	25	681
Lingchen Gao	341 1.0×	137 0.6×	68 0.6×	76 0.8×	105 1.2×	18	628
Thomas K. Sin	314 0.9×	105 0.4×	46 0.4×	184 2.0×	122 1.4×	22	638

Countries citing papers authored by Marit Wiersma

Since Specialization

Citations

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

Fields of papers citing papers by Marit Wiersma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marit Wiersma

This figure shows the co-authorship network connecting the top 25 collaborators of Marit Wiersma. A scholar is included among the top collaborators of Marit Wiersma 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 Marit Wiersma. Marit Wiersma 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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