Anne E. Conway

1.1k total citations
7 papers, 820 citations indexed

About

Anne E. Conway is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anne E. Conway has authored 7 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Anne E. Conway's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (2 papers). Anne E. Conway is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (3 papers) and Renal and related cancers (2 papers). Anne E. Conway collaborates with scholars based in United States, Bulgaria and Singapore. Anne E. Conway's co-authors include Amander T. Clark, Kathrin Plath, Anne Lindgren, William E. Lowry, Bennett G. Novitch, Saravanan Karumbayaram, Michaela Patterson, Steven A. Goldman, Harley I. Kornblum and Martina Wiedau‐Pazos and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Biological Psychiatry.

In The Last Decade

Anne E. Conway

7 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne E. Conway United States	6	735	98	89	78	72	7	820
Katarzyna Tilgner United Kingdom	14	993 1.4×	106 1.1×	96 1.1×	52 0.7×	52 0.7×	17	1.1k
Michelle Desler United States	15	808 1.1×	42 0.4×	96 1.1×	50 0.6×	100 1.4×	20	935
Daniella Herszfeld Australia	10	335 0.5×	46 0.5×	49 0.6×	135 1.7×	25 0.3×	13	518
Shila Mekhoubad United States	5	1.2k 1.6×	80 0.8×	356 4.0×	99 1.3×	80 1.1×	5	1.3k
Kibibi Ganz United States	5	1.4k 1.9×	62 0.6×	242 2.7×	21 0.3×	90 1.3×	5	1.5k
Thomas Brade United States	10	648 0.9×	67 0.7×	164 1.8×	20 0.3×	35 0.5×	10	764
Annie Wolff France	10	458 0.6×	60 0.6×	63 0.7×	59 0.8×	17 0.2×	11	616
Rodrigo Osorno United Kingdom	10	1.1k 1.5×	60 0.6×	105 1.2×	22 0.3×	47 0.7×	11	1.1k
Kerrianne Cunniff United States	9	1.2k 1.7×	328 3.3×	271 3.0×	74 0.9×	49 0.7×	10	1.3k
Zongyong Ai China	11	441 0.6×	71 0.7×	50 0.6×	29 0.4×	20 0.3×	18	547

Countries citing papers authored by Anne E. Conway

Since Specialization

Citations

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

Fields of papers citing papers by Anne E. Conway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne E. Conway

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

All Works

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7 of 7 papers shown

1.

Conway, Anne E., Eric L. Van Nostrand, Gabriel A. Pratt, et al.. (2016). Enhanced CLIP Uncovers IMP Protein-RNA Targets in Human Pluripotent Stem Cells Important for Cell Adhesion and Survival. Cell Reports. 15(3). 666–679. 107 indexed citations

2.

Xie, Wei, Chunying Song, Nicolas L. Young, et al.. (2009). Histone H3 Lysine 56 Acetylation Is Linked to the Core Transcriptional Network in Human Embryonic Stem Cells. Molecular Cell. 33(4). 417–427. 160 indexed citations

3.

Kim, Yong, Amit Deshpande, Yan‐Shan Dai, et al.. (2009). Cyclin-dependent Kinase 2-associating Protein 1 Commits Murine Embryonic Stem Cell Differentiation through Retinoblastoma Protein Regulation. Journal of Biological Chemistry. 284(35). 23405–23414. 18 indexed citations

4.

Park, Tae Sub, Zoran Galić, Anne E. Conway, et al.. (2009). Derivation of Primordial Germ Cells from Human Embryonic and Induced Pluripotent Stem Cells Is Significantly Improved by Coculture with Human Fetal Gonadal Cells. Stem Cells. 27(4). 783–795. 200 indexed citations

5.

Karumbayaram, Saravanan, Bennett G. Novitch, Michaela Patterson, et al.. (2009). Directed Differentiation of Human-Induced Pluripotent Stem Cells Generates Active Motor Neurons. Stem Cells. 27(4). 806–811. 300 indexed citations

6.

Conway, Anne E., Anne Lindgren, Zoran Galić, et al.. (2008). A Self-Renewal Program Controls the Expansion of Genetically Unstable Cancer Stem Cells in Pluripotent Stem Cell-Derived Tumors. Stem Cells. 27(1). 18–28. 32 indexed citations

7.

Dukoff, Ruth, Charles W. Wilkinson, Robert Lasser, et al.. (1999). Physostigmine challenge before and after chronic cholinergic blockade in elderly volunteers. Biological Psychiatry. 46(2). 189–195. 3 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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