Ava C. Carter

7.5k total citations · 2 hit papers
15 papers, 2.8k citations indexed

About

Ava C. Carter is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ava C. Carter has authored 15 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Ava C. Carter's work include CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (4 papers). Ava C. Carter is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (4 papers). Ava C. Carter collaborates with scholars based in United States, France and United Kingdom. Ava C. Carter's co-authors include Howard Y. Chang, Jin Xu, Justin K. Ichida, Kevin Eggan, Pedro J. Batista, Donna M. Bouley, Alan C. Mullen, K. Daneshvar, Jiajing Zhang and Ryan A. Flynn and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Ava C. Carter

15 papers receiving 2.8k 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.

m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells

2014 957 citations Pedro J. Batista, Benoit Molinié et al. Cell stem cell profile →
A Small-Molecule Inhibitor of Tgf-β Signaling Replaces Sox2 in Reprogramming by Inducing Nanog

2009 612 citations Justin K. Ichida, Joel Blanchard et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ava C. Carter United States	13	2.5k	770	308	188	159	15	2.8k
Sasha Mendjan Austria	16	1.8k 0.7×	197 0.3×	178 0.6×	348 1.9×	309 1.9×	26	2.3k
Mohammadsharif Tabebordbar United States	12	2.9k 1.1×	648 0.8×	848 2.8×	309 1.6×	135 0.8×	15	3.2k
Junjun Ding China	17	1.8k 0.7×	311 0.4×	143 0.5×	113 0.6×	74 0.5×	38	2.0k
Alessandro Bertero United States	21	1.6k 0.6×	173 0.2×	197 0.6×	503 2.7×	274 1.7×	35	2.2k
Shaohe Wang United States	20	799 0.3×	371 0.5×	124 0.4×	68 0.4×	98 0.6×	44	1.6k
Karin A. Fischer United States	19	1.7k 0.7×	592 0.8×	114 0.4×	364 1.9×	240 1.5×	23	2.1k
Khalil Kass Youssef Belgium	14	1.2k 0.5×	340 0.4×	148 0.5×	84 0.4×	60 0.4×	15	2.3k
Giuliano Giuseppe Stirparo United Kingdom	21	1.8k 0.7×	254 0.3×	179 0.6×	405 2.2×	165 1.0×	29	2.1k
Daniel Ortmann United Kingdom	18	1.4k 0.6×	189 0.2×	119 0.4×	302 1.6×	428 2.7×	28	1.9k
Sunny Y. Wong United States	20	1.1k 0.4×	147 0.2×	509 1.7×	120 0.6×	58 0.4×	33	1.9k

Countries citing papers authored by Ava C. Carter

Since Specialization

Citations

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

Fields of papers citing papers by Ava C. Carter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ava C. Carter

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

All Works

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15 of 15 papers shown

Boulting, Gabriella L., Bulent Ataman, Maxwell A. Sherman, et al.. (2021). Activity-dependent regulome of human GABAergic neurons reveals new patterns of gene regulation and neurological disease heritability. Nature Neuroscience. 24(3). 437–448. 33 indexed citations

Marion‐Poll, Lucile, Dina Zielinski, Mikaël Attia, et al.. (2021). Locus specific epigenetic modalities of random allelic expression imbalance. Nature Communications. 12(1). 5330–5330. 11 indexed citations

Carter, Ava C., Jin Xu, Yuning Wei, et al.. (2020). Spen links RNA-mediated endogenous retrovirus silencing and X chromosome inactivation. eLife. 9. 37 indexed citations

Ransom, Ryan C., Ava C. Carter, Ankit Salhotra, et al.. (2018). Mechanoresponsive stem cells acquire neural crest fate in jaw regeneration. Nature. 563(7732). 514–521. 133 indexed citations

Cho, Seung Woo, Jin Xu, Ruping Sun, et al.. (2018). Promoter of lncRNA Gene PVT1 Is a Tumor-Suppressor DNA Boundary Element. Cell. 173(6). 1398–1412.e22. 313 indexed citations

Yost, Kathryn E., Ava C. Carter, Jin Xu, Ulrike Litzenburger, & Howard Y. Chang. (2018). ATAC Primer Tool for targeted analysis of accessible chromatin. Nature Methods. 15(5). 304–305. 11 indexed citations

Lu, Zhipeng, Ava C. Carter, & Howard Y. Chang. (2017). Mechanistic insights in X-chromosome inactivation. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1733). 20160356–20160356. 48 indexed citations

Xu, Jin, Ava C. Carter, Anne-Valérie Gendrel, et al.. (2017). Landscape of monoallelic DNA accessibility in mouse embryonic stem cells and neural progenitor cells. Nature Genetics. 49(3). 377–386. 59 indexed citations

Xu, Jin, Xinxin Peng, Yuezheng Zhang, et al.. (2017). Free-living human cells reconfigure their chromosomes in the evolution back to uni-cellularity. eLife. 6. 23 indexed citations

10.

Chen, Xingqi, Ying Shen, Jason D. Buenrostro, et al.. (2016). ATAC-see reveals the accessible genome by transposase-mediated imaging and sequencing. Nature Methods. 13(12). 1013–1020. 164 indexed citations

11.

Giorgetti, Luca, Bryan R. Lajoie, Ava C. Carter, et al.. (2016). Structural organization of the inactive X chromosome in the mouse. Nature. 535(7613). 575–579. 283 indexed citations

12.

Carter, Ava C., Brandi N. Davis‐Dusenbery, Kathryn Koszka, Justin K. Ichida, & Kevin Eggan. (2014). Nanog-Independent Reprogramming to iPSCs with Canonical Factors. Stem Cell Reports. 2(2). 119–126. 34 indexed citations

13.

Batista, Pedro J., Benoit Molinié, Jinkai Wang, et al.. (2014). m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells. Cell stem cell. 15(6). 707–719. 957 indexed citations breakdown →

14.

Ichida, Justin K., Julia TCW, Luis A. Williams, et al.. (2014). Notch inhibition allows oncogene-independent generation of iPS cells. Nature Chemical Biology. 10(8). 632–639. 54 indexed citations

15.

Ichida, Justin K., Joel Blanchard, Kelvin Lam, et al.. (2009). A Small-Molecule Inhibitor of Tgf-β Signaling Replaces Sox2 in Reprogramming by Inducing Nanog. Cell stem cell. 5(5). 491–503. 612 indexed citations breakdown →

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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