Carter M. Takacs

3.0k total citations · 1 hit paper
14 papers, 1.8k citations indexed

About

Carter M. Takacs is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carter M. Takacs has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carter M. Takacs's work include RNA Research and Splicing (6 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (4 papers). Carter M. Takacs is often cited by papers focused on RNA Research and Splicing (6 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (4 papers). Carter M. Takacs collaborates with scholars based in United States, Germany and Australia. Carter M. Takacs's co-authors include Antonio J. Giráldez, Kevin J. Peterson, Miler T. Lee, Matthew J. Wargo, Jessica B. Lyons, Mark A. McPeek, Ariel Bazzini, Elizabeth Fleming, Ashley R. Bonneau and Mohamed A. El-Brolosy and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Carter M. Takacs

14 papers receiving 1.7k 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.

Genetic compensation triggered by mutant mRNA degradation

2019 635 citations Mohamed A. El-Brolosy, Zacharias Kontarakis et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carter M. Takacs United States	13	1.2k	295	242	179	168	14	1.8k
Daniel E. Martínez United States	18	1.3k 1.0×	290 1.0×	199 0.8×	121 0.7×	378 2.3×	39	2.2k
Robert M. Freeman United States	15	1.9k 1.5×	194 0.7×	216 0.9×	104 0.6×	214 1.3×	16	2.4k
Lionel Christiaen United States	29	2.0k 1.6×	313 1.1×	309 1.3×	91 0.5×	152 0.9×	63	2.4k
Nori Satoh Japan	23	1.5k 1.2×	469 1.6×	159 0.7×	86 0.5×	250 1.5×	28	2.4k
Hee‐Chan Seo Norway	20	1.2k 1.0×	266 0.9×	253 1.0×	48 0.3×	86 0.5×	28	1.6k
Anna Di Gregorio United States	28	1.7k 1.3×	400 1.4×	189 0.8×	71 0.4×	169 1.0×	56	2.1k
Alex de Mendoza United Kingdom	22	1.3k 1.0×	205 0.7×	182 0.8×	60 0.3×	286 1.7×	43	1.9k
Henry Roehl United Kingdom	20	1.4k 1.2×	312 1.1×	551 2.3×	152 0.8×	59 0.4×	31	2.0k
Michio Ogasawara Japan	25	1.2k 1.0×	315 1.1×	110 0.5×	61 0.3×	135 0.8×	66	1.9k
YY Li China	18	918 0.7×	375 1.3×	68 0.3×	88 0.5×	175 1.0×	60	2.1k

Countries citing papers authored by Carter M. Takacs

Since Specialization

Citations

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

Fields of papers citing papers by Carter M. Takacs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carter M. Takacs. 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 Carter M. Takacs. The network helps show where Carter M. Takacs may publish in the future.

Co-authorship network of co-authors of Carter M. Takacs

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

All Works

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14 of 14 papers shown

Musaev, Damir, Charles E. Vejnar, Valeria Yartseva, et al.. (2024). UPF1 regulates mRNA stability by sensing poorly translated coding sequences. Cell Reports. 43(4). 114074–114074. 6 indexed citations

Vejnar, Charles E., Carter M. Takacs, Valeria Yartseva, et al.. (2019). Genome wide analysis of 3′ UTR sequence elements and proteins regulating mRNA stability during maternal-to-zygotic transition in zebrafish. Genome Research. 29(7). 1100–1114. 48 indexed citations

El-Brolosy, Mohamed A., Zacharias Kontarakis, Andrea Rossi, et al.. (2019). Genetic compensation triggered by mutant mRNA degradation. Nature. 568(7751). 193–197. 635 indexed citations breakdown →

Beaudoin, Jean-Denis, Eva Maria Novoa, Charles E. Vejnar, et al.. (2018). Analyses of mRNA structure dynamics identify embryonic gene regulatory programs. Nature Structural & Molecular Biology. 25(8). 677–686. 87 indexed citations

Yartseva, Valeria, Carter M. Takacs, Charles E. Vejnar, Miler T. Lee, & Antonio J. Giráldez. (2016). RESA identifies mRNA-regulatory sequences at high resolution. Nature Methods. 14(2). 201–207. 29 indexed citations

Takacs, Carter M. & Antonio J. Giráldez. (2015). miR-430 regulates oriented cell division during neural tube development in zebrafish. Developmental Biology. 409(2). 442–450. 28 indexed citations

Lee, Miler T., Ashley R. Bonneau, Carter M. Takacs, et al.. (2013). Nanog, Pou5f1 and SoxB1 activate zygotic gene expression during the maternal-to-zygotic transition. Nature. 503(7476). 360–364. 362 indexed citations

Takacs, Carter M. & Antonio J. Giráldez. (2010). MicroRNAs as genetic sculptors: Fishing for clues. Seminars in Cell and Developmental Biology. 21(7). 760–767. 29 indexed citations

Takacs, Carter M., Jason R. Baird, Edward G. Hughes, et al.. (2008). Dual Positive and Negative Regulation of Wingless Signaling by Adenomatous Polyposis Coli. Science. 319(5861). 333–336. 49 indexed citations

10.

Benchabane, Hassina, Edward G. Hughes, Carter M. Takacs, Jason R. Baird, & Yashi Ahmed. (2008). Adenomatous polyposis coli is present near the minimal level required for accurate graded responses to the Wingless morphogen. Development. 135(5). 963–971. 17 indexed citations

11.

Wang, Jun, et al.. (2005). Chromosomal DNA transfer in Mycobacterium smegmatis is mechanistically different from classical Hfr chromosomal DNA transfer. Molecular Microbiology. 58(1). 280–288. 40 indexed citations

12.

Takacs, Carter M., Gabriele Amore, Paola Oliveri, et al.. (2004). Expression of an NK2 homeodomain gene in the apical ectoderm defines a new territory in the early sea urchin embryo. Developmental Biology. 269(1). 152–164. 44 indexed citations

13.

Peterson, Kevin J., et al.. (2004). Estimating metazoan divergence times with a molecular clock. Proceedings of the National Academy of Sciences. 101(17). 6536–6541. 334 indexed citations

14.

Takacs, Carter M., Vanessa N. Moy, & Kevin J. Peterson. (2002). Testing putative hemichordate homologues of the chordate dorsal nervous system and endostyle: expression of NK2.1 (TTF‐1) in the acorn worm Ptychodera flava (Hemichordata, Ptychoderidae). Evolution & Development. 4(6). 405–417. 48 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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