Ritva Rice

1.9k total citations
24 papers, 1.4k citations indexed

About

Ritva Rice is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Ritva Rice has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Genetics and 4 papers in Rheumatology. Recurrent topics in Ritva Rice's work include dental development and anomalies (9 papers), Hedgehog Signaling Pathway Studies (8 papers) and Cleft Lip and Palate Research (7 papers). Ritva Rice is often cited by papers focused on dental development and anomalies (9 papers), Hedgehog Signaling Pathway Studies (8 papers) and Cleft Lip and Palate Research (7 papers). Ritva Rice collaborates with scholars based in Finland, United Kingdom and United States. Ritva Rice's co-authors include David Rice, Irma Thesleff, Bradley Spencer‐Dene, Amel Gritli-Linde, Andrew P. McMahon, Clive Dickson, Savério Bellusci, Mohammad K. Hajihosseini, Timothy Goodman and Bjørn R. Olsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Ritva Rice

23 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritva Rice Finland 19 987 646 120 102 101 24 1.4k
Amir M. Ashique United States 16 1.1k 1.2× 625 1.0× 194 1.6× 56 0.5× 154 1.5× 22 1.5k
Raj K. Ladher Japan 24 1.8k 1.9× 524 0.8× 57 0.5× 157 1.5× 210 2.1× 45 2.3k
Mark Joseph Bitgood United States 5 1.7k 1.7× 693 1.1× 55 0.5× 211 2.1× 126 1.2× 5 2.0k
Maria Pia Postiglione Austria 13 1.2k 1.3× 357 0.6× 335 2.8× 68 0.7× 292 2.9× 14 1.8k
Carolina Parada United States 21 890 0.9× 460 0.7× 183 1.5× 109 1.1× 104 1.0× 24 1.3k
Melanie Price Germany 10 1.6k 1.7× 568 0.9× 146 1.2× 216 2.1× 129 1.3× 13 2.3k
Renée V. Hoch United States 15 906 0.9× 245 0.4× 173 1.4× 129 1.3× 145 1.4× 17 1.6k
Pierre Coltey France 11 1.4k 1.5× 663 1.0× 113 0.9× 143 1.4× 147 1.5× 12 2.0k
Michael J. Depew United Kingdom 21 2.5k 2.5× 1.1k 1.8× 106 0.9× 146 1.4× 156 1.5× 30 3.1k
Esther Bell United States 19 1.2k 1.2× 293 0.5× 114 0.9× 80 0.8× 146 1.4× 27 1.5k

Countries citing papers authored by Ritva Rice

Since Specialization
Citations

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

Fields of papers citing papers by Ritva Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritva Rice

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

All Works

20 of 20 papers shown
1.
Takatalo, Maarit, et al.. (2025). RAB23 facilitates clathrin-coated nascent vesicle formation at the plasma membrane and modulates cell signaling. Cellular and Molecular Life Sciences. 82(1). 171–171.
2.
Takatalo, Maarit, et al.. (2020). RAB23 coordinates early osteogenesis by repressing FGF10-pERK1/2 and GLI1. eLife. 9. 18 indexed citations
3.
Goodman, Timothy, et al.. (2020). Fibroblast growth factor 10 is a negative regulator of postnatal neurogenesis in the mouse hypothalamus. Development. 147(13). 24 indexed citations
4.
Rice, Ritva, Judith A. Cebra‐Thomas, Maarja Haugas, et al.. (2017). Melanoblast development coincides with the late emerging cells from the dorsal neural tube in turtle Trachemys scripta. Scientific Reports. 7(1). 12063–12063. 8 indexed citations
5.
Rybtsov, Stanislav, Céline Souilhol, Ritva Rice, et al.. (2017). A molecular roadmap of the AGM region reveals BMPER as a novel regulator of HSC maturation. The Journal of Experimental Medicine. 214(12). 3731–3751. 50 indexed citations
6.
Rice, Ritva, Paul Riccio, Scott F. Gilbert, & Judith A. Cebra‐Thomas. (2015). Emerging from the rib: Resolving the turtle controversies. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 324(3). 208–220. 24 indexed citations
7.
Haan, Niels, Timothy Goodman, Ritva Rice, et al.. (2013). Fgf10-Expressing Tanycytes Add New Neurons to the Appetite/Energy-Balance Regulating Centers of the Postnatal and Adult Hypothalamus. Journal of Neuroscience. 33(14). 6170–6180. 187 indexed citations
8.
Cebra‐Thomas, Judith A., Anne Terrell, Kayla Branyan, et al.. (2013). Late‐emigrating trunk neural crest cells in turtle embryos generate an osteogenic ectomesenchyme in the plastron. Developmental Dynamics. 242(11). 1223–1235. 33 indexed citations
9.
Lana‐Elola, Eva, Przemko Tylżanowski, Maarit Takatalo, et al.. (2011). Noggin null allele mice exhibit a microform of holoprosencephaly. Human Molecular Genetics. 20(20). 4005–4015. 22 indexed citations
10.
11.
12.
Lana‐Elola, Eva, Ritva Rice, Agamemnon E. Grigoriadis, & David Rice. (2007). Cell fate specification during calvarial bone and suture development. Developmental Biology. 311(2). 335–346. 71 indexed citations
13.
Rice, Ritva, David Rice, & Irma Thesleff. (2005). Foxc1 integrates Fgf and Bmp signalling independently of twist or noggin during calvarial bone development. Developmental Dynamics. 233(3). 847–852. 32 indexed citations
14.
Rice, Ritva, et al.. (2005). Expression patterns of Hedgehog signalling pathway members during mouse palate development. Gene Expression Patterns. 6(2). 206–212. 67 indexed citations
15.
Rice, Ritva, Irma Thesleff, & David Rice. (2005). Regulation of Twist, Snail, and Id1 is conserved between the developing murine palate and tooth. Developmental Dynamics. 234(1). 28–35. 36 indexed citations
16.
Rice, Ritva, Bradley Spencer‐Dene, Amel Gritli-Linde, et al.. (2004). Disruption of Fgf10/Fgfr2b-coordinated epithelial-mesenchymal interactions causes cleft palate. Journal of Clinical Investigation. 113(12). 1692–1700. 293 indexed citations
17.
Gajęcka, Marzena, Wei Yu, Blake C. Ballif, et al.. (2004). Delineation of mechanisms and regions of dosage imbalance in complex rearrangements of 1p36 leads to a putative gene for regulation of cranial suture closure. European Journal of Human Genetics. 13(2). 139–149. 68 indexed citations
18.
Åberg, Thomas, Xiuping Wang, Jung Hwan Kim, et al.. (2004). Runx2 mediates FGF signaling from epithelium to mesenchyme during tooth morphogenesis. Developmental Biology. 270(1). 76–93. 144 indexed citations
19.
Rice, Ritva, Bradley Spencer‐Dene, Amel Gritli-Linde, et al.. (2004). Disruption of Fgf10/Fgfr2b-coordinated epithelial-mesenchymal interactions causes cleft palate. Journal of Clinical Investigation. 113(12). 1692–1700. 12 indexed citations
20.
Rice, Ritva, David Rice, Bjørn R. Olsen, & Irma Thesleff. (2003). Progression of calvarial bone development requires Foxc1 regulation of Msx2 and Alx4. Developmental Biology. 262(1). 75–87. 98 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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