Sonja De Pauw

12 total papers · 937 total citations
11 papers, 752 citations indexed

About

Sonja De Pauw is a scholar working on Pediatrics, Perinatology and Child Health, Speech and Hearing and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sonja De Pauw has authored 11 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 4 papers in Speech and Hearing and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sonja De Pauw's work include Childhood Cancer Survivors' Quality of Life (8 papers), Adolescent and Pediatric Healthcare (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). Sonja De Pauw is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (8 papers), Adolescent and Pediatric Healthcare (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). Sonja De Pauw collaborates with scholars based in Canada and United States. Sonja De Pauw's co-authors include W M Hryniuk, Michael Goodyear, Andrew Arnold, Mark N. Levine, Michael Gent, J. Hirsh, Ronald D. Barr, B. Findlay, Gordon Guyatt and V. Bramwell and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Pediatric Blood & Cancer.

In The Last Decade

Sonja De Pauw

11 papers receiving 727 citations

Author Peers

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

Author						Papers	Cites
Sonja De Pauw	248	230	221	135	125	11	752
Heather Howley	50 0.2×	189 0.8×	118 0.5×	93 0.7×	111 0.9×	22	769
Michael Lees	133 0.5×	52 0.2×	287 1.3×	208 1.5×	30 0.2×	29	776
Eva Bergsträßer	54 0.2×	169 0.7×	72 0.3×	92 0.7×	157 1.3×	31	661
Nina Salooja	155 0.6×	165 0.7×	71 0.3×	66 0.5×	317 2.5×	28	866
Petter Quist‐Paulsen	103 0.4×	296 1.3×	102 0.5×	124 0.9×	210 1.7×	19	747
Lone Frank	131 0.5×	61 0.3×	37 0.2×	104 0.8×	25 0.2×	15	908
M. G. Valsecchi	134 0.5×	272 1.2×	31 0.1×	112 0.8×	193 1.5×	27	861
A Rees	62 0.3×	44 0.2×	62 0.3×	50 0.4×	48 0.4×	16	664
Nicola Fitz-Simon	156 0.6×	84 0.4×	32 0.1×	217 1.6×	15 0.1×	19	769
Kaie Pruunsild	102 0.4×	391 1.7×	56 0.3×	20 0.1×	213 1.7×	14	669

Countries citing papers authored by Sonja De Pauw

Since Specialization

Citations

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

Fields of papers citing papers by Sonja De Pauw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonja De Pauw. 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 Sonja De Pauw. The network helps show where Sonja De Pauw may publish in the future.

Co-authorship network of co-authors of Sonja De Pauw

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja De Pauw. A scholar is included among the top collaborators of Sonja De Pauw 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 Sonja De Pauw. Sonja De Pauw 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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