Anthony Conway

1.4k total citations
17 papers, 1.1k citations indexed

About

Anthony Conway is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anthony Conway has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anthony Conway's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Anthony Conway is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Anthony Conway collaborates with scholars based in United States, United Kingdom and Italy. Anthony Conway's co-authors include David V. Schaffer, Anuj Chauhan, Jinah Kim, Tandis Vazin, Patrick Goodwill, Randolph S. Ashton, Bo Zheng, Emine Ülkü Sarıtaş, Steven Conolly and Kwang‐il Lim and has published in prestigious journals such as Nature Neuroscience, Nature Nanotechnology and Biomaterials.

In The Last Decade

Anthony Conway

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Conway United States 12 565 302 154 148 140 17 1.1k
Sven Schnichels Germany 21 775 1.4× 386 1.3× 46 0.3× 236 1.6× 76 0.5× 85 1.8k
Panagiotis Mastorakos United States 19 537 1.0× 387 1.3× 101 0.7× 191 1.3× 64 0.5× 53 1.6k
James P. Bertram United States 12 309 0.5× 257 0.9× 42 0.3× 181 1.2× 114 0.8× 14 935
Guillaume Blin United Kingdom 18 873 1.5× 449 1.5× 71 0.5× 56 0.4× 65 0.5× 30 1.6k
Barbara Krynska United States 19 367 0.6× 209 0.7× 122 0.8× 98 0.7× 71 0.5× 39 1.3k
Kohei Johkura Japan 19 737 1.3× 245 0.8× 91 0.6× 65 0.4× 34 0.2× 49 1.3k
Giovanna Peruzzi Italy 30 1.5k 2.7× 343 1.1× 86 0.6× 100 0.7× 49 0.3× 80 3.0k
Xiaofen Mo China 16 467 0.8× 91 0.3× 51 0.3× 167 1.1× 24 0.2× 34 999
Nipan Israsena Thailand 15 453 0.8× 92 0.3× 151 1.0× 128 0.9× 139 1.0× 39 827
Mark J. Cooper United States 31 2.2k 3.9× 265 0.9× 672 4.4× 381 2.6× 55 0.4× 55 2.8k

Countries citing papers authored by Anthony Conway

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Conway

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

All Works

17 of 17 papers shown
1.
Fong, Helen, Matthew Mendel, Jing Hu, et al.. (2025). A serum- and feeder-free system to generate CD4 and regulatory T cells from human iPSCs. Stem Cells. 43(4). 3 indexed citations
2.
Li, Yanfeng, Chandan Guha, Patrik Asp, et al.. (2023). Resolution of hepatic fibrosis after ZFN-mediated gene editing in the PiZ mouse model of human α1-antitrypsin deficiency. Hepatology Communications. 7(3). e0070–e0070. 5 indexed citations
3.
Suzuki, Shingo, Ana M. Crane, C. Barillà, et al.. (2020). Highly Efficient Gene Editing of Cystic Fibrosis Patient-Derived Airway Basal Cells Results in Functional CFTR Correction. Molecular Therapy. 28(7). 1684–1695. 60 indexed citations
4.
Conway, Anthony, Matthew Mendel, Kenneth H. Kim, et al.. (2019). Non-viral Delivery of Zinc Finger Nuclease mRNA Enables Highly Efficient In Vivo Genome Editing of Multiple Therapeutic Gene Targets. Molecular Therapy. 27(4). 866–877. 69 indexed citations
5.
Toland, K., Anthony Conway, L. Cunningham, et al.. (2018). Development of a pulling machine to produce micron diameter fused silica fibres for use in prototype advanced gravitational wave detectors. Classical and Quantum Gravity. 35(16). 165004–165004. 3 indexed citations
6.
Conway, Anthony, et al.. (2018). Red Blood cell IMPDH activity in adults and children with or without azathioprine: Relationship between thiopurine metabolites, ITPA and TPMT activities. Basic & Clinical Pharmacology & Toxicology. 124(5). 600–606. 5 indexed citations
7.
Schiroli, Giulia, Samuele Ferrari, Anthony Conway, et al.. (2017). Preclinical modeling highlights the therapeutic potential of hematopoietic stem cell gene editing for correction of SCID-X1. Science Translational Medicine. 9(411). 159 indexed citations
8.
Zheng, Bo, Tandis Vazin, Patrick Goodwill, et al.. (2015). Magnetic Particle Imaging tracks the long-term fate of in vivo neural cell implants with high image contrast. Scientific Reports. 5(1). 14055–14055. 211 indexed citations
9.
Conway, Anthony, et al.. (2015). Multivalent Conjugates of Sonic Hedgehog Accelerate Diabetic Wound Healing. Tissue Engineering Part A. 21(17-18). 2366–2378. 14 indexed citations
10.
Conway, Anthony & David V. Schaffer. (2014). Biomaterial Microenvironments to Support the Generation of New Neurons in the Adult Brain. Stem Cells. 32(5). 1220–1229. 14 indexed citations
11.
Conway, Anthony, Dawn P. Spelke, & David V. Schaffer. (2013). Conjugation of Proteins to Polymer Chains to Create Multivalent Molecules. Methods in molecular biology. 1202. 95–102. 2 indexed citations
12.
Vazin, Tandis, Randolph S. Ashton, Anthony Conway, et al.. (2013). The effect of multivalent Sonic hedgehog on differentiation of human embryonic stem cells into dopaminergic and GABAergic neurons. Biomaterials. 35(3). 941–948. 43 indexed citations
13.
Conway, Anthony, Tandis Vazin, Dawn P. Spelke, et al.. (2013). Multivalent ligands control stem cell behaviour in vitro and in vivo. Nature Nanotechnology. 8(11). 831–838. 94 indexed citations
14.
Ashton, Randolph S., Anthony Conway, Jamie Bergen, et al.. (2012). Astrocytes regulate adult hippocampal neurogenesis through ephrin-B signaling. Nature Neuroscience. 15(10). 1399–1406. 173 indexed citations
15.
Conway, Anthony & David V. Schaffer. (2012). Biophysical regulation of stem cell behavior within the niche. Stem Cell Research & Therapy. 3(6). 50–50. 31 indexed citations
16.
Peltier, Joseph, Anthony Conway, Albert J. Keung, & David V. Schaffer. (2010). Akt Increases Sox2 Expression in Adult Hippocampal Neural Progenitor Cells, but Increased Sox2 Does Not Promote Proliferation. Stem Cells and Development. 20(7). 1153–1161. 25 indexed citations
17.
Kim, Jinah, Anthony Conway, & Anuj Chauhan. (2008). Extended delivery of ophthalmic drugs by silicone hydrogel contact lenses. Biomaterials. 29(14). 2259–2269. 184 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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