Femke Ringnalda

2.9k total citations · 2 hit papers
16 papers, 2.0k citations indexed

About

Femke Ringnalda is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Femke Ringnalda has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Femke Ringnalda's work include CRISPR and Genetic Engineering (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Femke Ringnalda is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Femke Ringnalda collaborates with scholars based in Netherlands, Switzerland and United States. Femke Ringnalda's co-authors include Gerald Schwank, Hans Clevers, Lukas Villiger, Eelco J.P. de Koning, Markus H. Heim, Robert G. Vries, Cindy J.M. Loomans, Helen Lindsay, Mark D. Robinson and Toshiro Sato and has published in prestigious journals such as Advanced Materials, Nature Medicine and Nature Communications.

In The Last Decade

Femke Ringnalda

15 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unlimited in vitro expansion of adult bi-potent pancreas progenitors through the Lgr5/R-spondin axis

2013 535 citations Meritxell Huch, Paola Bonfanti et al. The EMBO Journal profile →
Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

2018 339 citations Sandro Nuciforo, Isabel Fofana et al. Cell Reports profile →

Peers

Femke Ringnalda

ONCOL

SURGE

GENET

Annelise Haft United States

Yana Zavros United States

Masashi Tachibana Japan

S. Tamir Rashid United Kingdom

Sara Dutton Sackett United States

Amanda Andersson-Rolf United Kingdom

Tetsushi Kinugasa Japan

Ken Nishimura Japan

Malgorzata Borowiak United States

Nicholas R. F. Hannan United Kingdom

Annelise Haft United States

Femke Ringnalda

720 ×0.7

389 ×0.5

ONCOL

305 ×0.6

582 ×1.3

SURGE

286 ×0.8

GENET

Citations per year, relative to Femke Ringnalda Femke Ringnalda (= 1×) peers Annelise Haft

Countries citing papers authored by Femke Ringnalda

Since Specialization

Citations

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

Fields of papers citing papers by Femke Ringnalda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Femke Ringnalda

This figure shows the co-authorship network connecting the top 25 collaborators of Femke Ringnalda. A scholar is included among the top collaborators of Femke Ringnalda 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 Femke Ringnalda. Femke Ringnalda 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:

16 of 16 papers shown

Kim, Seok‐Young, Gijs J. F. van Son, Femke Ringnalda, et al.. (2025). Tripotent Lgr5 stem cells in the posterior tongue generate lingual, taste, and salivary gland lineages. Nature Communications. 16(1). 10266–10266.

Kim, Seok‐Young, Marijn A. Vermeulen, Femke Ringnalda, et al.. (2025). Organoid drug profiling identifies methotrexate as a therapy for SCCOHT, a rare pediatric cancer. Science Advances. 11(9). eadq1724–eadq1724. 2 indexed citations

Williams, Justin, Femke Ringnalda, Natalia Moreno, et al.. (2023). Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities. Oncogene. 42(20). 1661–1671. 15 indexed citations

Villiger, Lukas, Tanja Rothgangl, Dominik Witzigmann, et al.. (2021). In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA. Nature Biomedical Engineering. 5(2). 179–189. 75 indexed citations

Bleijs, Margit, et al.. (2021). EWSR1-WT1 Target Genes and Therapeutic Options Identified in a Novel DSRCT In Vitro Model. Cancers. 13(23). 6072–6072. 11 indexed citations

Ringnalda, Femke, et al.. (2021). Canine Pituitary Organoids as 3D In Vitro Model for Cushing Disease. Journal of the Endocrine Society. 5(Supplement_1). A533–A533. 2 indexed citations

Frey, Nina, Femke Ringnalda, Sharan Janjuha, et al.. (2020). Genome-Scale CRISPR Screening in Human Intestinal Organoids Identifies Drivers of TGF-β Resistance. Cell stem cell. 26(3). 431–440.e8. 149 indexed citations

Savić, Nataša, Femke Ringnalda, Christian Berk, et al.. (2019). In vitro Generation of CRISPR-Cas9 Complexes with Covalently Bound Repair Templates for Genome Editing in Mammalian Cells. BIO-PROTOCOL. 9(1). 12 indexed citations

Savić, Nataša, Femke Ringnalda, Helen Lindsay, et al.. (2018). Covalent linkage of the DNA repair template to the CRISPR-Cas9 nuclease enhances homology-directed repair. eLife. 7. 117 indexed citations

10.

Loomans, Cindy J.M., Femke Ringnalda, Léon van Gurp, et al.. (2018). Expansion of Adult Human Pancreatic Tissue Yields Organoids Harboring Progenitor Cells with Endocrine Differentiation Potential. Stem Cell Reports. 10(3). 712–724. 113 indexed citations

11.

Nuciforo, Sandro, Isabel Fofana, Matthias S. Matter, et al.. (2018). Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies. Cell Reports. 24(5). 1363–1376. 339 indexed citations breakdown →

12.

Villiger, Lukas, Hiu Man Grisch‐Chan, Helen Lindsay, et al.. (2018). Treatment of a metabolic liver disease by in vivo genome base editing in adult mice. Nature Medicine. 24(10). 1519–1525. 301 indexed citations

13.

Broguière, Nicolas, Christian Hirt, Emma Cavalli, et al.. (2018). Growth of Epithelial Organoids in a Defined Hydrogel. Advanced Materials. 30(43). e1801621–e1801621. 225 indexed citations

14.

Gurp, Léon van, Cindy J.M. Loomans, Gitanjali Dharmadhikari, et al.. (2016). Sequential intravital imaging reveals in vivo dynamics of pancreatic tissue transplanted under the kidney capsule in mice. Diabetologia. 59(11). 2387–2392. 22 indexed citations

15.

Huch, Meritxell, Paola Bonfanti, Sylvia F. Boj, et al.. (2013). Unlimited in vitro expansion of adult bi-potent pancreas progenitors through the Lgr5/R-spondin axis. The EMBO Journal. 32(20). 2708–2721. 535 indexed citations breakdown →

16.

Petersen, Natalia, Frank Reimann, Sina Bartfeld, et al.. (2013). Generation of L Cells in Mouse and Human Small Intestine Organoids. Diabetes. 63(2). 410–420. 115 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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