Anne Moon

9.3k total citations
96 papers, 6.1k citations indexed

About

Anne Moon is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Anne Moon has authored 96 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 21 papers in Surgery and 19 papers in Epidemiology. Recurrent topics in Anne Moon's work include Congenital heart defects research (41 papers), Congenital Heart Disease Studies (15 papers) and Developmental Biology and Gene Regulation (13 papers). Anne Moon is often cited by papers focused on Congenital heart defects research (41 papers), Congenital Heart Disease Studies (15 papers) and Developmental Biology and Gene Regulation (13 papers). Anne Moon collaborates with scholars based in United States, Japan and Canada. Anne Moon's co-authors include Mario R. Capecchi, Deborah U. Frank, David H. Kirn, Caroline J. Breitbach, Tae-Ho Hwang, Anne M. Boulet, Benjamin R. Arenkiel, William J. Rhead, John C. Bell and T J Ley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Anne Moon

95 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Moon United States 45 4.4k 2.0k 1.1k 880 764 96 6.1k
John H. McVey United Kingdom 45 2.8k 0.6× 2.0k 1.0× 899 0.8× 223 0.3× 577 0.8× 144 6.0k
Tomoki Todo Japan 43 3.1k 0.7× 3.4k 1.7× 2.8k 2.5× 1.8k 2.0× 279 0.4× 143 7.2k
Doris Brown United States 29 2.6k 0.6× 668 0.3× 815 0.7× 402 0.5× 535 0.7× 75 4.0k
Danny Huylebroeck Belgium 58 8.3k 1.9× 1.3k 0.7× 1.6k 1.4× 983 1.1× 1.3k 1.7× 163 11.7k
Anton H. N. Hopman Netherlands 39 2.4k 0.6× 1.6k 0.8× 895 0.8× 699 0.8× 1.1k 1.5× 137 5.7k
Vesa Kaartinen United States 46 4.3k 1.0× 1.7k 0.8× 531 0.5× 391 0.4× 718 0.9× 124 6.5k
Aaron M. Zorn United States 46 6.3k 1.4× 1.6k 0.8× 1.2k 1.1× 248 0.3× 1.8k 2.4× 126 8.6k
Leslie D. Stratford-Perricaudet France 15 3.1k 0.7× 3.2k 1.6× 596 0.5× 504 0.6× 360 0.5× 18 4.8k
Peter C. Scacheri United States 41 4.8k 1.1× 1.0k 0.5× 769 0.7× 715 0.8× 448 0.6× 80 6.5k
D. Leanne Jones United States 39 5.1k 1.1× 1.1k 0.5× 2.9k 2.6× 858 1.0× 525 0.7× 66 8.8k

Countries citing papers authored by Anne Moon

Since Specialization
Citations

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

Fields of papers citing papers by Anne Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Moon. A scholar is included among the top collaborators of Anne Moon 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 Anne Moon. Anne Moon 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.
Astrof, Sophie, Cecilia Arriagada, Yukio Saijoh, et al.. (2023). Aberrant differentiation of second heart field mesoderm prefigures cellular defects in the outflow tract in response to loss of FGF8. Developmental Biology. 499. 10–21. 3 indexed citations
2.
Chen, Valerie, Brian J. Francica, David Hsieh, et al.. (2023). Abstract 1636: Generation of novel potent human TREX1 inhibitors facilitated by crystallography. Cancer Research. 83(7_Supplement). 1636–1636. 2 indexed citations
3.
Schirge, Silvia, Johann Gout, Frank Arnold, et al.. (2023). TBX3 is dynamically expressed in pancreatic organogenesis and fine-tunes regeneration. BMC Biology. 21(1). 55–55. 1 indexed citations
4.
Rudat, Carsten, Timo H. Lüdtke, Vincent M. Christoffels, et al.. (2021). Regulation of otocyst patterning by Tbx2 and Tbx3 is required for inner ear morphogenesis in the mouse. Development. 148(8). 33 indexed citations
5.
Kweon, Junghun, Heather Eckart, Andrew D. Hoffmann, et al.. (2020). Hedgehog–FGF signaling axis patterns anterior mesoderm during gastrulation. Proceedings of the National Academy of Sciences. 117(27). 15712–15723. 27 indexed citations
6.
Moreau, Julie, Scott Kesteven, Ella MMA Martin, et al.. (2019). Gene-environment interaction impacts on heart development and embryo survival. Development. 146(4). 49 indexed citations
7.
P, Pavan Kumar, Pascal Pineau, Agnès Marchio, et al.. (2014). Long noncoding RNA PANDA and scaffold-attachment-factor SAFA control senescence entry and exit. Nature Communications. 5(1). 5323–5323. 159 indexed citations
8.
Breitbach, Caroline J., Rozanne Arulanandam, Naomi De Silva, et al.. (2013). Oncolytic Vaccinia Virus Disrupts Tumor-Associated Vasculature in Humans. Cancer Research. 73(4). 1265–1275. 208 indexed citations
9.
Pan, Yi, Christian Carbe, Ute Pickhinke, et al.. (2013). Heparan sulfate expression in the neural crest is essential for mouse cardiogenesis. Matrix Biology. 35. 253–265. 20 indexed citations
10.
Murashima, Aki, Shinichi Miyagawa, Yukiko Ogino, et al.. (2011). Essential Roles of Androgen Signaling in Wolffian Duct Stabilization and Epididymal Cell Differentiation. Endocrinology. 152(4). 1640–1651. 64 indexed citations
11.
Guo, Chaoshe, Ye Sun, Bin Zhou, et al.. (2011). A Tbx1-Six1/Eya1-Fgf8 genetic pathway controls mammalian cardiovascular and craniofacial morphogenesis. Journal of Clinical Investigation. 121(4). 1585–1595. 104 indexed citations
12.
Zhou, Hong-Ming, Paige Snider, Jian Wang, et al.. (2011). Pax3 is essential for normal cardiac neural crest morphogenesis but is not required during migration nor outflow tract septation. Developmental Biology. 356(2). 308–322. 48 indexed citations
13.
Riehle, Christian, Heiko Bugger, Sandra Sena, et al.. (2009). Abstract 3992: Insulin Receptor Substrates (IRS) are Critical Regulators of Autophagy and Cardiomyocyte Survival. Circulation. 120. 1 indexed citations
14.
Hauri‐Hohl, Mathias, Saulius Žuklys, Marcel P. Keller, et al.. (2008). TGF-β signaling in thymic epithelial cells regulates thymic involution and postirradiation reconstitution. Blood. 112(3). 626–634. 58 indexed citations
15.
Evans, Sylvia Μ., et al.. (2006). Required, tissue-specific roles for Fgf8 in outflow tract formation and remodeling. Development. 133(12). 2419–2433. 199 indexed citations
16.
Boulet, Anne M., Anne Moon, Benjamin R. Arenkiel, & Mario R. Capecchi. (2004). The roles of Fgf4 and Fgf8 in limb bud initiation and outgrowth. Developmental Biology. 273(2). 361–372. 164 indexed citations
17.
Jaskoll, Tina, et al.. (2004). FGF8 dose-dependent regulation of embryonic submandibular salivary gland morphogenesis. Developmental Biology. 268(2). 457–469. 58 indexed citations
19.
Moon, Anne & Mario R. Capecchi. (2000). Fgf8 is required for outgrowth and patterning of the limbs. Nature Genetics. 26(4). 455–459. 260 indexed citations
20.
Amendt, Brad A., et al.. (1987). Short-chain acyl-coenzyme A dehydrogenase deficiency. Clinical and biochemical studies in two patients.. Journal of Clinical Investigation. 79(5). 1303–1309. 133 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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