Selma van Staveren

25 total papers · 401 total citations
14 papers, 287 citations indexed

About

Selma van Staveren is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Selma van Staveren has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Biophysics and 4 papers in Immunology. Recurrent topics in Selma van Staveren's work include Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (5 papers) and Gene expression and cancer classification (4 papers). Selma van Staveren is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (5 papers) and Gene expression and cancer classification (4 papers). Selma van Staveren collaborates with scholars based in Netherlands, Germany and Belgium. Selma van Staveren's co-authors include Leo Koenderman, Nienke Vrisekoop, Jos J. de Koning, Maria Francesca Piacentini, Bart Roelands, Romain Meeusen, Mehrnaz Ghazvini, Carl Foster, Friedemann Loos and Joost Gribnau and has published in prestigious journals such as Molecular Cell, PLoS ONE and Scientific Reports.

In The Last Decade

Selma van Staveren

14 papers receiving 282 citations

Author Peers

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

Author						Papers	Cites
Selma van Staveren	109	61	60	48	33	14	287
Sebastian Schauer	82 0.8×	32 0.5×	42 0.7×	44 0.9×	3 0.1×	14	285
Haitao Xie	131 1.2×	7 0.1×	90 1.5×	11 0.2×	10 0.3×	19	328
Carlos Ernesto Santos Ferreira	39 0.4×	63 1.0×	34 0.6×	18 0.4×	12 0.4×	23	203
Per Ole Iversen	56 0.5×	51 0.8×	9 0.1×	23 0.5×	4 0.1×	14	319
Sheng Guo	84 0.8×	21 0.3×	87 1.4×	20 0.4×	6 0.2×	18	311
Wanling Jiang	78 0.7×	31 0.5×	10 0.2×	24 0.5×	11 0.3×	13	161
Marion E. Schneider	70 0.6×	77 1.3×	13 0.2×	17 0.4×	13 0.4×	12	270
Zehui He	174 1.6×	16 0.3×	37 0.6×	8 0.2×	17 0.5×	15	299
Panagiotis Mylonas	43 0.4×	10 0.2×	78 1.3×	21 0.4×	8 0.2×	13	318
Michel Hoogmartens	79 0.7×	4 0.1×	41 0.7×	10 0.2×	10 0.3×	15	318

Countries citing papers authored by Selma van Staveren

Since Specialization

Citations

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

Fields of papers citing papers by Selma van Staveren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selma van Staveren. 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 Selma van Staveren. The network helps show where Selma van Staveren may publish in the future.

Co-authorship network of co-authors of Selma van Staveren

This figure shows the co-authorship network connecting the top 25 collaborators of Selma van Staveren. A scholar is included among the top collaborators of Selma van Staveren 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 Selma van Staveren. Selma van Staveren 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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