Kay Wiebrands

3.6k total citations · 3 hit papers
9 papers, 2.4k citations indexed

About

Kay Wiebrands is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Kay Wiebrands has authored 9 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Genetics. Recurrent topics in Kay Wiebrands's work include Cancer Cells and Metastasis (5 papers), Digestive system and related health (4 papers) and Single-cell and spatial transcriptomics (3 papers). Kay Wiebrands is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Digestive system and related health (4 papers) and Single-cell and spatial transcriptomics (3 papers). Kay Wiebrands collaborates with scholars based in Netherlands, United States and Germany. Kay Wiebrands's co-authors include Alexander van Oudenaarden, Hans Clevers, Onur Başak, Anna Lyubimova, Dominic Grün, Nobuo Sasaki, Lennart Kester, Johan H. van Es, Maaike van den Born and Harry Begthel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Methods.

In The Last Decade

Kay Wiebrands

9 papers receiving 2.4k citations

Hit Papers

Single-cell messenger RNA sequencing reveals rare intesti... 2015 2026 2018 2022 2015 2016 2016 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kay Wiebrands Netherlands 9 1.6k 759 439 393 313 9 2.4k
Roslin Russell United Kingdom 22 1.5k 0.9× 977 1.3× 469 1.1× 645 1.6× 213 0.7× 30 2.7k
Quin F. Wills United Kingdom 11 1.4k 0.8× 293 0.4× 278 0.6× 470 1.2× 501 1.6× 18 2.1k
Johanna Klughammer Austria 13 2.1k 1.3× 265 0.3× 322 0.7× 415 1.1× 767 2.5× 17 2.9k
Jessica C. Mar United States 28 1.7k 1.0× 511 0.7× 208 0.5× 376 1.0× 656 2.1× 60 3.2k
Ephraim Kenigsberg United States 11 2.9k 1.7× 245 0.3× 394 0.9× 390 1.0× 670 2.1× 15 3.5k
Bernhard Schmierer United Kingdom 19 2.5k 1.5× 482 0.6× 454 1.0× 323 0.8× 178 0.6× 28 3.1k
Valentina Proserpio Italy 12 2.3k 1.4× 263 0.3× 165 0.4× 546 1.4× 633 2.0× 20 2.8k
Léon van Gurp Netherlands 15 969 0.6× 238 0.3× 473 1.1× 189 0.5× 158 0.5× 18 1.8k
Marco Mignardi Sweden 11 1.4k 0.9× 249 0.3× 158 0.4× 452 1.2× 604 1.9× 17 2.2k
Morag Robertson United Kingdom 12 3.8k 2.3× 438 0.6× 579 1.3× 212 0.5× 226 0.7× 22 4.4k

Countries citing papers authored by Kay Wiebrands

Since Specialization
Citations

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

Fields of papers citing papers by Kay Wiebrands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay Wiebrands

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Wiebrands. A scholar is included among the top collaborators of Kay Wiebrands 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 Kay Wiebrands. Kay Wiebrands is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Es, Johan H. van, Kay Wiebrands, Carmen López‐Iglesias, et al.. (2019). Enteroendocrine and tuft cells support Lgr5 stem cells on Paneth cell depletion. Proceedings of the National Academy of Sciences. 116(52). 26599–26605. 79 indexed citations
2.
Başak, Onur, Teresa G. Krieger, Mauro J. Muraro, et al.. (2018). Troy+ brain stem cells cycle through quiescence and regulate their number by sensing niche occupancy. Proceedings of the National Academy of Sciences. 115(4). E610–E619. 121 indexed citations
3.
Roovers, Elke F., Lucas Kaaij, Stefan Redl, et al.. (2018). Tdrd6a Regulates the Aggregation of Buc into Functional Subcellular Compartments that Drive Germ Cell Specification. Developmental Cell. 46(3). 285–301.e9. 65 indexed citations
4.
Sasaki, Nobuo, Norman Sachs, Kay Wiebrands, et al.. (2016). Reg4 + deep crypt secretory cells function as epithelial niche for Lgr5 + stem cells in colon. Proceedings of the National Academy of Sciences. 113(37). E5399–407. 206 indexed citations
5.
Başak, Onur, Joep Beumer, Kay Wiebrands, et al.. (2016). Induced Quiescence of Lgr5+ Stem Cells in Intestinal Organoids Enables Differentiation of Hormone-Producing Enteroendocrine Cells. Cell stem cell. 20(2). 177–190.e4. 259 indexed citations
6.
Tetteh, Paul W., Onur Başak, Henner F. Farin, et al.. (2016). Replacement of Lost Lgr5-Positive Stem Cells through Plasticity of Their Enterocyte-Lineage Daughters. Cell stem cell. 18(2). 203–213. 412 indexed citations breakdown →
7.
Grün, Dominic, Mauro J. Muraro, Jean-Charles Boisset, et al.. (2016). De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data. Cell stem cell. 19(2). 266–277. 370 indexed citations breakdown →
8.
Grün, Dominic, Anna Lyubimova, Lennart Kester, et al.. (2015). Single-cell messenger RNA sequencing reveals rare intestinal cell types. Nature. 525(7568). 251–255. 847 indexed citations breakdown →
9.
Klemm, Sandy, Stefan Semrau, Kay Wiebrands, et al.. (2014). Transcriptional profiling of cells sorted by RNA abundance. Nature Methods. 11(5). 549–551. 26 indexed citations

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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