Veronika Akopian

1.6k total citations
9 papers, 968 citations indexed

About

Veronika Akopian is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Veronika Akopian has authored 9 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in Veronika Akopian's work include Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (4 papers) and CRISPR and Genetic Engineering (3 papers). Veronika Akopian is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (4 papers) and CRISPR and Genetic Engineering (3 papers). Veronika Akopian collaborates with scholars based in United States, Germany and Australia. Veronika Akopian's co-authors include Alexander Meissner, Alexander M. Tsankov, Michael J. Ziller, Julie Donaghey, Andreas Gnirke, Hongcang Gu, Casey A. Gifford, Ramona Pop, Ido Amit and John L. Rinn and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Veronika Akopian

9 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Veronika Akopian United States	7	903	135	64	53	44	9	968
Violetta Karwacki-Neisius United States	8	839 0.9×	217 1.6×	56 0.9×	79 1.5×	50 1.1×	10	906
Sissy E. Wamaitha United States	11	909 1.0×	168 1.2×	63 1.0×	66 1.2×	72 1.6×	14	1.0k
Nils Grabole United Kingdom	7	790 0.9×	157 1.2×	55 0.9×	28 0.5×	40 0.9×	9	846
Shiran Bar Israel	7	514 0.6×	126 0.9×	43 0.7×	43 0.8×	40 0.9×	9	583
Gloryn Chia United States	10	612 0.7×	107 0.8×	29 0.5×	43 0.8×	61 1.4×	14	695
Dekker C. Deacon United States	8	607 0.7×	114 0.8×	38 0.6×	80 1.5×	59 1.3×	18	734
Christina Galonska United States	7	791 0.9×	140 1.0×	30 0.5×	45 0.8×	19 0.4×	9	841
Kibibi Ganz United States	5	1.4k 1.5×	242 1.8×	113 1.8×	90 1.7×	94 2.1×	5	1.5k
M.J. Abeyta United States	5	530 0.6×	111 0.8×	78 1.2×	39 0.7×	81 1.8×	9	645
Marti Borkent United States	4	910 1.0×	85 0.6×	94 1.5×	54 1.0×	86 2.0×	4	943

Countries citing papers authored by Veronika Akopian

Since Specialization

Citations

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

Fields of papers citing papers by Veronika Akopian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronika Akopian

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

All Works

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9 of 9 papers shown

1.

Tsankov, Alexander M., Marc H. Wadsworth, Veronika Akopian, et al.. (2019). Loss of DNA methyltransferase activity in primed human ES cells triggers increased cell-cell variability and transcriptional repression. Development. 146(19). 7 indexed citations

2.

Charlton, Jocelyn, Timothy L. Downing, Zachary D. Smith, et al.. (2018). Global delay in nascent strand DNA methylation. Nature Structural & Molecular Biology. 25(4). 327–332. 61 indexed citations

3.

Liao, Jing, Rahul Karnik, Hongcang Gu, et al.. (2015). Targeted disruption of DNMT1, DNMT3A and DNMT3B in human embryonic stem cells. Nature Genetics. 47(5). 469–478. 357 indexed citations

4.

Cacchiarelli, Davide, Cole Trapnell, Michael J. Ziller, et al.. (2015). Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency. Cell. 162(2). 412–424. 151 indexed citations

5.

Tsankov, Alexander M., Veronika Akopian, Ramona Pop, et al.. (2015). A qPCR ScoreCard quantifies the differentiation potential of human pluripotent stem cells. Nature Biotechnology. 33(11). 1182–1192. 113 indexed citations

6.

Tsankov, Alexander M., Hongcang Gu, Veronika Akopian, et al.. (2015). Transcription factor binding dynamics during human ES cell differentiation. Nature. 518(7539). 344–349. 258 indexed citations

7.

Akopian, Veronika, Michelle M. Chan, Kendell Clement, et al.. (2012). Epigenomics and chromatin dynamics. Genome biology. 13(2). 313–313. 2 indexed citations

8.

Akopian, Veronika, Michelle M. Chan, Kendell Clement, et al.. (2012). Epigenomics and chromatin dynamics. Genome Biology. 13(2). 313–313. 2 indexed citations

9.

Stamp, Lincon A., Jun Wu, Veronika Akopian, et al.. (2012). The GCTM-5 Epitope Associated with the Mucin-Like Glycoprotein FCGBP Marks Progenitor Cells in Tissues of Endodermal Origin. Stem Cells. 30(9). 1999–2009. 17 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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