M. van Weel‐Sipman

8 total papers · 502 total citations
5 papers, 84 citations indexed

About

M. van Weel‐Sipman is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M. van Weel‐Sipman has authored 5 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 1 paper in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in M. van Weel‐Sipman's work include Acute Lymphoblastic Leukemia research (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Ethics and Legal Issues in Pediatric Healthcare (1 paper). M. van Weel‐Sipman is often cited by papers focused on Acute Lymphoblastic Leukemia research (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Ethics and Legal Issues in Pediatric Healthcare (1 paper). M. van Weel‐Sipman collaborates with scholars based in Netherlands, Italy and France. M. van Weel‐Sipman's co-authors include G. A. M. de Vaan, K. Hählen, A. Veerman, A van der Does-van den Berg, J.F. van der Weerden, J. J. P. van de Kamp, J. de Koning, Gergely Kriván, G Souillet and J Cahn and has published in prestigious journals such as The Journal of Pediatrics, Pediatric Research and PubMed.

In The Last Decade

M. van Weel‐Sipman

5 papers receiving 82 citations

Author Peers

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

Author						Papers	Cites
M. van Weel‐Sipman	37	28	27	25	16	5	84
Eleanor J. Ward	35 0.9×	46 1.6×	50 1.9×	31 1.2×	19 1.2×	8	213
Aly Abdel‐Mageed	38 1.0×	23 0.8×	12 0.4×	7 0.3×	16 1.0×	7	96
Violaine Noël	23 0.6×	23 0.8×	11 0.4×	19 0.8×	5 0.3×	5	106
Chang Xu	12 0.3×	30 1.1×	30 1.1×	30 1.2×	24 1.5×	7	97
Krisztina Zuborne Alapi	20 0.5×	20 0.7×	70 2.6×	10 0.4×	15 0.9×	9	264
Christa Krupski	35 0.9×	25 0.9×	6 0.2×	15 0.6×	47 2.9×	8	88
M. Trebo	104 2.8×	85 3.0×	28 1.0×	22 0.9×	6 0.4×	6	132
Anne Sophie Carret	34 0.9×	16 0.6×	13 0.5×	17 0.7×	16 1.0×	6	73
Wilma Deplano	54 1.5×	36 1.3×	16 0.6×	9 0.4×	18 1.1×	5	76
Jeanette H. Payne	121 3.3×	73 2.6×	23 0.9×	49 2.0×	9 0.6×	6	229

Countries citing papers authored by M. van Weel‐Sipman

Since Specialization

Citations

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

Fields of papers citing papers by M. van Weel‐Sipman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. van Weel‐Sipman. 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 M. van Weel‐Sipman. The network helps show where M. van Weel‐Sipman may publish in the future.

Co-authorship network of co-authors of M. van Weel‐Sipman

This figure shows the co-authorship network connecting the top 25 collaborators of M. van Weel‐Sipman. A scholar is included among the top collaborators of M. van Weel‐Sipman 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 M. van Weel‐Sipman. M. van Weel‐Sipman 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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