Daniel Paull

3.3k total citations
29 papers, 1.3k citations indexed

About

Daniel Paull is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Paull has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Ophthalmology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Paull's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (8 papers) and Renal and related cancers (5 papers). Daniel Paull is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (8 papers) and Renal and related cancers (5 papers). Daniel Paull collaborates with scholars based in United States, United Kingdom and Israel. Daniel Paull's co-authors include Scott Noggle, Dieter Egli, Mark V. Sauer, Robert Prosser, Feng Du, Richard A. Abrams, Christopher C. Davoli, Matthew Zimmer, Robin Goland and Mitsutoshi Yamada and has published in prestigious journals such as Nature, PLoS ONE and Cell stem cell.

In The Last Decade

Daniel Paull

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Paull United States 15 917 186 162 139 123 29 1.3k
Eduardo Silva Portugal 24 894 1.0× 118 0.6× 20 0.1× 264 1.9× 62 0.5× 60 1.5k
Ainhoa García Spain 15 523 0.6× 29 0.2× 60 0.4× 105 0.8× 47 0.4× 24 1.1k
Heather Johnston Australia 17 693 0.8× 33 0.2× 107 0.7× 190 1.4× 14 0.1× 39 1.5k
Kathryn B. Garber United States 11 392 0.4× 182 1.0× 28 0.2× 466 3.4× 70 0.6× 19 700
Carlos Cardoso France 24 1.2k 1.3× 211 1.1× 64 0.4× 871 6.3× 22 0.2× 37 2.0k
Louise R. Simard Canada 26 1.7k 1.9× 44 0.2× 24 0.1× 263 1.9× 73 0.6× 55 2.3k
Michael W. Nestor United States 15 568 0.6× 130 0.7× 29 0.2× 127 0.9× 8 0.1× 31 843
Hussein Daoud Canada 24 1.1k 1.2× 167 0.9× 57 0.4× 627 4.5× 45 0.4× 58 2.4k
Emmette R. Hutchison United States 19 856 0.9× 206 1.1× 37 0.2× 55 0.4× 7 0.1× 25 1.7k
Anath C. Lionel Canada 21 940 1.0× 274 1.5× 18 0.1× 866 6.2× 25 0.2× 36 1.7k

Countries citing papers authored by Daniel Paull

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Paull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Paull

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

All Works

20 of 20 papers shown
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2.
Clayton, Benjamin L.L., Lilianne Barbar, Maria L. Sapar, et al.. (2024). Patient iPSC models reveal glia-intrinsic phenotypes in multiple sclerosis. Cell stem cell. 31(11). 1701–1713.e8. 12 indexed citations
3.
Smith, Matthew D., Xitiz Chamling, Alexander J. Gill, et al.. (2022). Reactive Astrocytes Derived From Human Induced Pluripotent Stem Cells Suppress Oligodendrocyte Precursor Cell Differentiation. Frontiers in Molecular Neuroscience. 15. 874299–874299. 14 indexed citations
4.
Paull, Daniel, et al.. (2022). Human pluripotent stem cells for the modelling of retinal pigment epithelium homeostasis and disease: A review. Clinical and Experimental Ophthalmology. 50(6). 667–677. 3 indexed citations
5.
Hartley, Brigham J., et al.. (2021). Modular deep learning enables automated identification of monoclonal cell lines. Nature Machine Intelligence. 3(7). 632–640. 8 indexed citations
6.
7.
Cai, Hui, Jie Gong, Laura Abriola, et al.. (2019). High-throughput screening identifies compounds that protect RPE cells from physiological stressors present in AMD. Experimental Eye Research. 185. 107641–107641. 17 indexed citations
8.
Sevilla, Ana, Matthew Zimmer, Héctor Martínez, et al.. (2018). Derivation and characterization of the NIH registry human stem cell line NYSCF100 line under defined feeder-free conditions. Stem Cell Research. 29. 99–102. 1 indexed citations
9.
Ortiz‐Virumbrales, Maitane, Cesar L. Moreno, Ilya Kruglikov, et al.. (2017). CRISPR/Cas9-Correctable mutation-related molecular and physiological phenotypes in iPSC-derived Alzheimer’s PSEN2 N141I neurons. Acta Neuropathologica Communications. 5(1). 77–77. 122 indexed citations
10.
Yamada, Mitsutoshi, Valentina Emmanuele, Maria J. Sanchez‐Quintero, et al.. (2016). Genetic Drift Can Compromise Mitochondrial Replacement by Nuclear Transfer in Human Oocytes. Cell stem cell. 18(6). 749–754. 117 indexed citations
11.
Burnett, Lisa C., Charles A. LeDuc, Carlos R. Sulsona, et al.. (2016). Induced pluripotent stem cells (iPSC) created from skin fibroblasts of patients with Prader-Willi syndrome (PWS) retain the molecular signature of PWS. Stem Cell Research. 17(3). 526–530. 22 indexed citations
12.
Jóhannesson, Bjarki, Ido Sagi, Athurva Gore, et al.. (2014). Comparable Frequencies of Coding Mutations and Loss of Imprinting in Human Pluripotent Cells Derived by Nuclear Transfer and Defined Factors. Cell stem cell. 15(5). 634–642. 95 indexed citations
13.
Nestor, Michael W., et al.. (2013). Differentiation of serum-free embryoid bodies from human induced pluripotent stem cells into networks. Stem Cell Research. 10(3). 454–463. 17 indexed citations
14.
Kahler, David J., Haiqing Hua, Dorota Moroziewicz, et al.. (2013). Improved Methods for Reprogramming Human Dermal Fibroblasts Using Fluorescence Activated Cell Sorting. PLoS ONE. 8(3). e59867–e59867. 49 indexed citations
15.
Paull, Daniel, Valentina Emmanuele, Nathan R. Treff, et al.. (2012). Nuclear genome transfer in human oocytes eliminates mitochondrial DNA variants. Nature. 493(7434). 632–637. 185 indexed citations
16.
Khalili, Ashkan, Daniel Paull, Hala M. Fadda, et al.. (2011). A Novel Slow Release Solid Bevacizumab Tissue Tablet Prevents Scarring Following Experimental Glaucoma Filtration Surgery (GFS). Investigative Ophthalmology & Visual Science. 52(14). 1645–1645. 1 indexed citations
17.
Khalili, Ashkan, et al.. (2009). Prolonged Local Ocular Delivery of an Antibody. Investigative Ophthalmology & Visual Science. 50(13). 5992–5992.
18.
Paull, Daniel, et al.. (2009). The Effects of Serum Amyloid P on Experimental Glaucoma Filtration Surgery. Investigative Ophthalmology & Visual Science. 50(13). 3908–3908. 3 indexed citations
19.
Ellis, J. S., Daniel Paull, Ashkan Khalili, et al.. (2009). Growth Factors and Ocular Scarring. European Ophthalmic Review. 3(2). 58–58. 3 indexed citations
20.
Abrams, Richard A., et al.. (2007). Altered vision near the hands. Cognition. 107(3). 1035–1047. 196 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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