Kay Wiebrands

3.6k citations
9 papers · 2.4k indexed · 3 hit papers · h-index 9
Topics
Cancer Cells and Metastasis (5 papers)Digestive system and related health (4 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Kay Wiebrands

9 papers receiving 2.4k citations

Hit Papers

Single-cell messenger RNA sequencing reveals rare intesti...2015202620182022201520162016250500750

Peers

Kay Wiebrands
Comparison fields: 5 of 99
  • Molecular Biology 1.6k
  • Oncology 759
  • Genetics 439
  • Cancer Research 393
  • Immunology 313
Replace Quin F. Wills with:
Quin F. Wills United Kingdom
Jessica C. Mar United States
Johanna Klughammer Austria
Kelly Street United States
Ephraim Kenigsberg United States
Jay W. Shin Japan
Marius Lange Germany
Morag Robertson United Kingdom
Jingyuan Deng United States
Anna Golebiewska Luxembourg
Kay Wiebrands relative to Quin F. Wills United Kingdom Quin F. Wills's profile →
Citations per field
00.5×2.6×
Quin F. Wills · 1×
Citations per year

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
#WorkIndexed citations
1 79
2 121
3 65
4 206
5 259
6
Replacement of Lost Lgr5-Positive Stem Cells through Plasticity of Their Enterocyte-Lineage Daughtersbreakdown →
412
7
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Databreakdown →
370
8
Single-cell messenger RNA sequencing reveals rare intestinal cell typesbreakdown →
847
9 26

About Kay Wiebrands

Kay Wiebrands is a scholar working on Developmental Neuroscience, Oncology and Genetics, having authored 9 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Digestive system and related health (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Biophysics (167 citations), Oncology (759 citations) and Cancer Research (393 citations). Kay Wiebrands has collaborated with scholars based in Netherlands, United States and Germany. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Methods.

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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