Femke Ringnalda

2.9k citations
16 papers · 2.0k indexed · 2 hit papers · h-index 12
Topics
CRISPR and Genetic Engineering (5 papers)Pancreatic function and diabetes (4 papers)Diabetes and associated disorders (3 papers)

In The Last Decade

Femke Ringnalda

15 papers receiving 2.0k citations

Hit Papers

Unlimited in vitro expansion of adult bi-potent pancreas ...201320262017202120132018100200300400500

Peers

Femke Ringnalda
Comparison fields: 5 of 97
  • Molecular Biology 1.1k
  • Oncology 730
  • Biomedical Engineering 523
  • Surgery 460
  • Genetics 356
Replace S. Tamir Rashid with:
S. Tamir Rashid United Kingdom
Amanda Andersson-Rolf United Kingdom
Malgorzata Borowiak United States
Yuichiro Miyaoka Japan
Masashi Tachibana Japan
Nicholas R. F. Hannan United Kingdom
Daekwan Seo South Korea
Sander Boymans Netherlands
Shiro Yui Japan
Annelise Haft United States
Femke Ringnalda relative to S. Tamir Rashid United Kingdom S. Tamir Rashid's profile →
Citations per field
00.5×3.7×
S. Tamir Rashid · 1×
Citations per year

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

16 of 16 papers shown
#WorkIndexed citations
1 0
2 2
3 15
4 75
5 11
6 2
7 149
8 12
9 117
10 113
11
Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsiesbreakdown →
339
12 301
13 225
14 22
15
Unlimited in vitro expansion of adult bi-potent pancreas progenitors through the Lgr5/R-spondin axisbreakdown →
535
16 115

About Femke Ringnalda

Femke Ringnalda is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Hepatology (224 citations), Oncology (730 citations) and Aging (35 citations). Femke Ringnalda has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent 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. Their work appears in journals such as Advanced Materials, Nature Medicine and Nature Communications.

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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