Dale Frank

3.6k total citations · 1 hit paper
50 papers, 3.0k citations indexed

About

Dale Frank is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dale Frank has authored 50 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 15 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dale Frank's work include Developmental Biology and Gene Regulation (26 papers), Wnt/β-catenin signaling in development and cancer (11 papers) and Epigenetics and DNA Methylation (10 papers). Dale Frank is often cited by papers focused on Developmental Biology and Gene Regulation (26 papers), Wnt/β-catenin signaling in development and cancer (11 papers) and Epigenetics and DNA Methylation (10 papers). Dale Frank collaborates with scholars based in Israel, United States and United Kingdom. Dale Frank's co-authors include Richard M. Harland, Howard Cedar, Aharon Razin, Sarah Elias, Zahava Siegfried, Benjamin Tycko, Monica Mendelsohn, V. Temper, Teresa M. Lamb and Hazel Sive and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Dale Frank

50 papers receiving 2.9k 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.

Spl elements protect a CpG island from de novo methylation

1994 600 citations Dale Frank, Zahava Siegfried et al. Nature profile →

Peers

Dale Frank

MB

GENET

PPCH

CB

CMN

Duncan B. Sparrow Australia

A. Faiella Italy

Karin Schuster-Gossler Germany

Maxime Bouchard Canada

Abraham Fainsod Israel

Ruth M. Arkell Australia

J. Murdoch United Kingdom

Karin Gaudenz United States

Anne Goriely United Kingdom

Corinne Stoetzel France

Duncan B. Sparrow Australia

Dale Frank

3.0k ×1.1

MB

982 ×1.0

GENET

261 ×0.6

PPCH

249 ×1.0

CB

138 ×0.7

CMN

Citations per year, relative to Dale Frank Dale Frank (= 1×) peers Duncan B. Sparrow

Countries citing papers authored by Dale Frank

Since Specialization

Citations

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

Fields of papers citing papers by Dale Frank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dale Frank

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

20 of 20 papers shown

1.

Lichtig, Hava, et al.. (2020). Modeling Bainbridge-Ropers Syndrome in Xenopus laevis Embryos. Frontiers in Physiology. 11. 75–75. 12 indexed citations

2.

Lichtig, Hava, et al.. (2019). PTK7 proteolytic fragment proteins function during early Xenopus development. Developmental Biology. 453(1). 48–55. 2 indexed citations

3.

Frank, Dale & Dalit Sela‐Donenfeld. (2018). Hindbrain induction and patterning during early vertebrate development. Cellular and Molecular Life Sciences. 76(5). 941–960. 31 indexed citations

4.

Sela‐Donenfeld, Dalit & Dale Frank. (2017). A “Brief History” of Developmental Biology in Israel. The International Journal of Developmental Biology. 61(3-4-5). 115–120. 1 indexed citations

5.

Volodarsky, Michael, Hava Lichtig, Tom Leibson, et al.. (2015). CDC174, a novel component of the exon junction complex whose mutation underlies a syndrome of hypotonia and psychomotor developmental delay. Human Molecular Genetics. 24(22). 6485–6491. 12 indexed citations

6.

Lichtig, Hava, et al.. (2013). PTK7 modulates Wnt signaling activity via LRP6. Development. 141(2). 410–421. 62 indexed citations

7.

Frank, Dale, et al.. (2011). FAK and WNT Signaling: The Meeting of Two Pathways in Cancer and Development. Anti-Cancer Agents in Medicinal Chemistry. 11(7). 600–606. 29 indexed citations

8.

Elkouby, Yaniv M. & Dale Frank. (2010). Mesodermal Wnt signaling organizes the neural plate via Meis3. Developmental Biology. 344(1). 476–476. 3 indexed citations

9.

Elias, Sarah, et al.. (2005). Aggregation of maternal pigment granules is induced by the cytosolic discoidin domain of the Xenopus Del1 protein. Developmental Dynamics. 233(1). 224–232. 1 indexed citations

10.

Keren, Aviad, Eyal Bengal, & Dale Frank. (2005). p38 MAP kinase regulates the expression of XMyf5 and affects distinct myogenic programs during Xenopus development. Developmental Biology. 288(1). 73–86. 42 indexed citations

11.

Dibner, Charna, Sarah Elias, Jacob Souopgui, et al.. (2004). The Meis3 protein and retinoid signaling interact to pattern the Xenopus hindbrain. Developmental Biology. 271(1). 75–86. 22 indexed citations

12.

Salas, Martha, Rosalind M. John, Anjana Saxena, et al.. (2004). Placental growth retardation due to loss of imprinting of Phlda2. Mechanisms of Development. 121(10). 1199–1210. 123 indexed citations

13.

Zetser, Anna, Dale Frank, & Eyal Bengal. (2001). MAP Kinase Converts MyoD into an Instructive Muscle Differentiation Factor in Xenopus. Developmental Biology. 240(1). 168–181. 30 indexed citations

14.

Salzberg, Adi, et al.. (1999). A Meis family protein caudalizes neural cell fates in Xenopus. Mechanisms of Development. 80(1). 3–13. 63 indexed citations

15.

Elias, Sarah, et al.. (1998). A POU protein regulates mesodermal competence to FGF in Xenopus. Mechanisms of Development. 71(1-2). 131–142. 18 indexed citations

16.

Frank, Dale, Denise O’Keefe, Diem Dao, et al.. (1997). The IPL Gene on Chromosome 11p15.5 is Imprinted in Humans and Mice and is Similar to TDAG51, Implicated in Fas Expression and Apoptosis. Human Molecular Genetics. 6(12). 2021–2029. 133 indexed citations

17.

Frank, Dale, et al.. (1995). The PKD1 gene produces a developmentally regulated protein in mesenchyme and vasculature. Nature Medicine. 1(4). 359–364. 30 indexed citations

18.

Frank, Dale, Zahava Siegfried, Monica Mendelsohn, et al.. (1994). Spl elements protect a CpG island from de novo methylation. Nature. 371(6496). 435–438. 600 indexed citations breakdown →

19.

Frank, Dale, Ilana Keshet, Moshe Shani, et al.. (1991). Demethylation of CpG islands in embryonic cells. Nature. 351(6323). 239–241. 131 indexed citations

20.

Frank, Dale, Michal Lichtenstein, Ze’ev Paroush, et al.. (1990). Demethylation of genes in animal cells. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 326(1235). 241–251. 25 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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