Selma van Staveren

408 total citations
14 papers, 290 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 290 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 Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and Gene expression and cancer classification (4 papers). Selma van Staveren is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and Gene expression and cancer classification (4 papers). Selma van Staveren collaborates with scholars based in Netherlands, Germany and United States. Selma van Staveren's co-authors include Leo Koenderman, Nienke Vrisekoop, Maria Francesca Piacentini, Bart Roelands, Romain Meeusen, Jos J. de Koning, Carl Foster, Joost Gribnau, Friedemann Loos and Tahsin Stefan Barakat 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 285 citations

Peers

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

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

#	Work	Indexed citations
1	Transformation of multicolour flow cytometry data with OTflow prevents misleading multivariate analysis results and incorrect immunological conclusions 2021 ·Cytometry Part A ·(unknown), Selma van Staveren, Gerjen H. Tinnevelt, (unknown), Nienke Vrisekoop, L.M.C. Buydens, Leo Koenderman, Jeroen J. Jansen, Oscar F. van den Brink	4
2	Kinetics of Neutrophil Subsets in Acute, Subacute, and Chronic Inflammation 2021 ·Frontiers in Immunology ·Suzanne Bongers, (unknown), Erinke van Grinsven, Selma van Staveren, (unknown), Roy Spijkerman, (unknown), (unknown), (unknown), Guus P. Leijte, Matthijs Kox, Peter Pickkers, Falco Hietbrink, Luke P. H. Leenen, Leo Koenderman, Nienke Vrisekoop	38
3	Multi-set Pre-processing of Multicolor Flow Cytometry Data 2020 ·Scientific Reports ·(unknown), Gerjen H. Tinnevelt, Bart Hilvering, Kristiaan Wouters, Selma van Staveren, Geert Postma, Nienke Vrisekoop, L.M.C. Buydens, Leo Koenderman, Jeroen J. Jansen	4
4	A novel data fusion method for the effective analysis of multiple panels of flow cytometry data 2019 ·Scientific Reports ·Gerjen H. Tinnevelt, Selma van Staveren, Kristiaan Wouters, Erwin Wijnands, Kenneth Verboven, (unknown), Leo Koenderman, L.M.C. Buydens, Jeroen J. Jansen	8
5	Characterization of the phenotype of human eosinophils and their progenitors in the bone marrow of healthy individuals 2019 ·Haematologica ·(unknown), Selma van Staveren, Erinke van Grinsven, Marije Bartels, Kiki Tesselaar, Guus P. Leijte, Matthijs Kox, Peter Pickkers, Nienke Vrisekoop, Leo Koenderman	24
6	Submaximal heart rate seems inadequate to prescribe and monitor intensified training 2019 ·European Journal of Sport Science ·(unknown), Carl Foster, Romain Meeusen, Bart Roelands, Maria Francesca Piacentini, Selma van Staveren, Leo Koenderman, Jos J. de Koning	8
7	Multi-dimensional flow cytometry analysis reveals increasing changes in the systemic neutrophil compartment during seven consecutive days of endurance exercise 2018 ·PLoS ONE ·Selma van Staveren, (unknown), (unknown), Bart Hilvering, Gerjen H. Tinnevelt, Karin de Ruiter, Maria Francesca Piacentini, Bart Roelands, Romain Meeusen, Jos J. de Koning, Jeroen J. Jansen, Nienke Vrisekoop, Leo Koenderman	21
8	Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm 2018 ·Scientific Reports ·(unknown), Selma van Staveren, (unknown), Bart Hilvering, Gerjen H. Tinnevelt, Geert Postma, Oscar F. van den Brink, L.M.C. Buydens, Nienke Vrisekoop, Leo Koenderman, Jeroen J. Jansen	10
9	Trovafloxacin-Induced Liver Injury: Lack in Regulation of Inflammation by Inhibition of Nucleotide Release and Neutrophil Movement 2018 ·Toxicological Sciences ·Giulio Giustarini, Nienke Vrisekoop, Laura Kruijssen, (unknown), Selma van Staveren, Manon van Roest, Rob Bleumink, Marianne Bol‐Schoenmakers, Richard Weaver, Leo Koenderman, Joost J. Smit, Raymond Pieters	11
10	A field‐applicable method for flow cytometric analysis of granulocyte activation: Cryopreservation of fixed granulocytes 2018 ·Cytometry Part A ·Karin de Ruiter, Selma van Staveren, Bart Hilvering, Edward F. Knol, Nienke Vrisekoop, Leo Koenderman, Maria Yazdanbakhsh	17
11	Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype 2017 ·Scientific Reports ·Gerjen H. Tinnevelt, (unknown), Bart Hilvering, Selma van Staveren, (unknown), Luzheng Xue, Andries C. Bloem, Leo Koenderman, L.M.C. Buydens, Jeroen J. Jansen	20
12	Changes in Choice Reaction Time During and After 8 Days Exhaustive Cycling Are Not Related to Changes in Physical Performance 2017 ·International Journal of Sports Physiology and Performance ·(unknown), Selma van Staveren, Danilo Iannetta, Bart Roelands, Romain Meeusen, Maria Francesca Piacentini, Carl Foster, Leo Koenderman, H.A.M. Daanen, Jos J. de Koning	5
13	Prediction of Functional Overreaching From Subjective Fatigue and Readiness to Train After Only 3 Days of Cycling 2016 ·International Journal of Sports Physiology and Performance ·(unknown), Selma van Staveren, (unknown), Maria Francesca Piacentini, Romain Meeusen, Bart Roelands, Leo Koenderman, H.A.M. Daanen, Carl Foster, Jos J. de Koning	63
14	The Trans-Activator RNF12 and Cis-Acting Elements Effectuate X Chromosome Inactivation Independent of X-Pairing 2014 ·Molecular Cell ·Tahsin Stefan Barakat, Friedemann Loos, Selma van Staveren, (unknown), Mehrnaz Ghazvini, J. Anton Grootegoed, Joost Gribnau	57

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.

Explore authors with similar magnitude of impact