Anna Terry

734 total citations
9 papers, 578 citations indexed

About

Anna Terry is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Anna Terry has authored 9 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Oncology. Recurrent topics in Anna Terry's work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers) and CRISPR and Genetic Engineering (2 papers). Anna Terry is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers) and CRISPR and Genetic Engineering (2 papers). Anna Terry collaborates with scholars based in United Kingdom, United States and Netherlands. Anna Terry's co-authors include Amanda G. Fisher, Matthias Merkenschlager, Rong Wu, David M. Gilbert, Prim B. Singh, Helle F. Jørgensen, Mikhail Spivakov, Bradley S. Cobb, Vlad C. Seitan and Bingtao Hao and has published in prestigious journals such as Nature, Blood and PLoS ONE.

In The Last Decade

Anna Terry

9 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Terry United Kingdom	8	483	101	69	56	53	9	578
Mónica Román-Trufero United Kingdom	9	502 1.0×	32 0.3×	124 1.8×	33 0.6×	37 0.7×	14	560
Kai‐Hsin Chang United States	13	262 0.5×	111 1.1×	64 0.9×	23 0.4×	132 2.5×	15	540
Javier Martín‐González Denmark	10	298 0.6×	70 0.7×	40 0.6×	18 0.3×	46 0.9×	19	433
Hai‐Qiang Dai United States	8	630 1.3×	136 1.3×	89 1.3×	56 1.0×	13 0.2×	12	737
Bum‐Kyu Lee United States	14	371 0.8×	59 0.6×	40 0.6×	58 1.0×	26 0.5×	28	521
Julien Vandamme Denmark	12	523 1.1×	90 0.9×	111 1.6×	29 0.5×	17 0.3×	18	640
Mette Bentsen Germany	6	391 0.8×	62 0.6×	62 0.9×	57 1.0×	10 0.2×	13	493
Maren Mönnich Germany	9	280 0.6×	26 0.3×	106 1.5×	22 0.4×	30 0.6×	10	357
Julie Stock United Kingdom	6	806 1.7×	29 0.3×	111 1.6×	61 1.1×	11 0.2×	6	856
K. E. Brown United Kingdom	3	279 0.6×	89 0.9×	100 1.4×	149 2.7×	76 1.4×	3	414

Countries citing papers authored by Anna Terry

Since Specialization

Citations

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

Fields of papers citing papers by Anna Terry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Terry

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Terry. A scholar is included among the top collaborators of Anna Terry 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 Anna Terry. Anna Terry 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.

Kokkinopoulos, Ioannis, Hidekazu Ishida, Rie Saba, et al.. (2015). Single-Cell Expression Profiling Reveals a Dynamic State of Cardiac Precursor Cells in the Early Mouse Embryo. PLoS ONE. 10(10). e0140831–e0140831. 24 indexed citations

2.

Ferreirós-Vidal, Isabel, Thomas Carroll, Ben Taylor, et al.. (2013). Genome-wide identification of Ikaros targets elucidates its contribution to mouse B-cell lineage specification and pre-B–cell differentiation. Blood. 121(10). 1769–1782. 87 indexed citations

3.

Brouilette, Scott, Scott Kuersten, Charles A. Mein, et al.. (2012). A simple and novel method for RNA‐seq library preparation of single cell cDNA analysis by hyperactive Tn5 transposase. Developmental Dynamics. 241(10). 1584–1590. 17 indexed citations

4.

Seitan, Vlad C., Bingtao Hao, Kikuë Tachibana-Konwalski, et al.. (2011). A role for cohesin in T-cell-receptor rearrangement and thymocyte differentiation. Nature. 476(7361). 467–471. 187 indexed citations

5.

Mazzarella, Luca, Helle F. Jørgensen, Anna Terry, et al.. (2010). Embryonic stem cell–derived hemangioblasts remain epigenetically plastic and require PRC1 to prevent neural gene expression. Blood. 117(1). 83–87. 14 indexed citations

6.

Jørgensen, Helle F., Anna Terry, Chiara Beretta, et al.. (2009). REST selectively represses a subset of RE1-containing neuronal genes in mouse embryonic stem cells. Development. 136(5). 715–721. 68 indexed citations

7.

Jørgensen, Helle F., Véronique Azuara, Shannon Amoils, et al.. (2007). The impact of chromatin modifiers on the timing of locus replication in mouse embryonic stem cells. Genome biology. 8(8). R169–R169. 63 indexed citations

8.

Wu, Rong, Anna Terry, & David M. Gilbert. (2006). Observing S-Phase Dynamics of Histone Modifications With Fluorescently Labeled Antibodies. Humana Press eBooks. 325. 139–148. 5 indexed citations

9.

Wu, Rong, Anna Terry, Prim B. Singh, & David M. Gilbert. (2005). Differential Subnuclear Localization and Replication Timing of Histone H3 Lysine 9 Methylation States. Molecular Biology of the Cell. 16(6). 2872–2881. 113 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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