Paul J. Tesar

9.7k total citations · 1 hit paper
65 papers, 6.2k citations indexed

About

Paul J. Tesar is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Paul J. Tesar has authored 65 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 19 papers in Developmental Neuroscience and 14 papers in Cancer Research. Recurrent topics in Paul J. Tesar's work include Pluripotent Stem Cells Research (28 papers), Neurogenesis and neuroplasticity mechanisms (18 papers) and CRISPR and Genetic Engineering (17 papers). Paul J. Tesar is often cited by papers focused on Pluripotent Stem Cells Research (28 papers), Neurogenesis and neuroplasticity mechanisms (18 papers) and CRISPR and Genetic Engineering (17 papers). Paul J. Tesar collaborates with scholars based in United States, Denmark and United Kingdom. Paul J. Tesar's co-authors include Ronald D.G. McKay, Josh Chenoweth, Frances A. Brook, Richard L. Gardner, E.P. Evans, David L. Mack, T. J. Davies, Peter C. Scacheri, Gabriel E. Zentner and Daniel C. Factor and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Paul J. Tesar

64 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

New cell lines from mouse epiblast share defining features with human embryonic stem cells

2007 1.6k citations Paul J. Tesar, Josh Chenoweth et al. profile →

Peers

Paul J. Tesar

MB

GENET

SURGE

DN

CR

Manching Ku United States

Guangjin Pan China

John T. Dimos United States

Vı́tězslav Bryja Czechia

Mitsuyo Maeda Japan

Hitoshi Niwa Japan

Takumi Era Japan

Guangming Wu Germany

Stuart M. Chambers United States

Nimet Maherali United States

Manching Ku United States

Paul J. Tesar

7.8k ×1.5

MB

1.3k ×2.0

GENET

633 ×1.0

SURGE

293 ×0.5

DN

704 ×1.2

CR

Citations per year, relative to Paul J. Tesar Paul J. Tesar (= 1×) peers Manching Ku

Countries citing papers authored by Paul J. Tesar

Since Specialization

Citations

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

Fields of papers citing papers by Paul J. Tesar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Tesar. 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 Paul J. Tesar. The network helps show where Paul J. Tesar may publish in the future.

Co-authorship network of co-authors of Paul J. Tesar

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

All Works

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20 of 20 papers shown

1.

Clayton, Benjamin L.L., Kevin Allan, Molly Karl, et al.. (2024). A phenotypic screening platform for identifying chemical modulators of astrocyte reactivity. Nature Neuroscience. 27(4). 656–665. 13 indexed citations

2.

Clayton, Benjamin L.L., Mayur Madhavan, Yuriy Fedorov, et al.. (2024). Pervasive environmental chemicals impair oligodendrocyte development. Nature Neuroscience. 27(5). 836–845. 24 indexed citations

3.

Hubler, Zita, David Yan, Ilya Bederman, et al.. (2021). Inhibition of SC4MOL and HSD17B7 shifts cellular sterol composition and promotes oligodendrocyte formation. RSC Chemical Biology. 3(1). 56–68. 9 indexed citations

4.

Clayton, Benjamin L.L. & Paul J. Tesar. (2021). Oligodendrocyte progenitor cell fate and function in development and disease. Current Opinion in Cell Biology. 73. 35–40. 41 indexed citations

5.

Allan, Kevin, Marissa A. Scavuzzo, Andrew R. Morton, et al.. (2020). Non-canonical Targets of HIF1a Impair Oligodendrocyte Progenitor Cell Function. Cell stem cell. 28(2). 257–272.e11. 33 indexed citations

6.

Madhavan, Mayur, Zachary S. Nevin, H. Elizabeth Shick, et al.. (2018). Induction of myelinating oligodendrocytes in human cortical spheroids. Nature Methods. 15(9). 700–706. 240 indexed citations

7.

Tesar, Paul J.. (2016). Snapshots of Pluripotency. Stem Cell Reports. 6(2). 163–167. 8 indexed citations

8.

Factor, Daniel C., Olivia Corradin, Gabriel E. Zentner, et al.. (2014). Epigenomic Comparison Reveals Activation of “Seed” Enhancers during Transition from Naive to Primed Pluripotency. Cell stem cell. 14(6). 854–863. 113 indexed citations

9.

Tang, Hong, Fadi J. Najm, Paul J. Tesar, et al.. (2013). High Throughput and High Content Screening Capabilities of the University of Cincinnati Drug Discovery Center. Journal of Biomolecular Techniques JBT. 24.

10.

Iwafuchi, Makiko, Kazuhiro Murakami, Hitoshi Niwa, et al.. (2012). Transcriptional regulatory networks in epiblast cells and during anterior neural plate development as modeled in epiblast stem cells. Development. 139(21). 3926–3937. 69 indexed citations

11.

Angeles, Alejandro De Los, Yuin‐Han Loh, Paul J. Tesar, & George Q. Daley. (2012). Accessing naïve human pluripotency. Current Opinion in Genetics & Development. 22(3). 272–282. 71 indexed citations

12.

Zentner, Gabriel E., Paul J. Tesar, & Peter C. Scacheri. (2011). Epigenetic signatures distinguish multiple classes of enhancers with distinct cellular functions. Genome Research. 21(8). 1273–1283. 408 indexed citations

13.

Najm, Fadi J., Josh Chenoweth, Joseph H. Nadeau, et al.. (2011). Isolation of Epiblast Stem Cells from Preimplantation Mouse Embryos. Cell stem cell. 8(3). 318–325. 114 indexed citations

14.

Chenoweth, Josh, Ronald D.G. McKay, & Paul J. Tesar. (2010). Epiblast stem cells contribute new insight into pluripotency and gastrulation. Development Growth & Differentiation. 52(3). 293–301. 38 indexed citations

15.

Schnetz, Michael P., Lusy Handoko, Batool Akhtar‐Zaidi, et al.. (2010). CHD7 Targets Active Gene Enhancer Elements to Modulate ES Cell-Specific Gene Expression. PLoS Genetics. 6(7). e1001023–e1001023. 193 indexed citations

16.

Chenoweth, Josh & Paul J. Tesar. (2010). Isolation and Maintenance of Mouse Epiblast Stem Cells. Methods in molecular biology. 636. 25–44. 24 indexed citations

17.

Stefano, Bruno Di, Christa Buecker, Federica Ungaro, et al.. (2010). An ES-Like Pluripotent State in FGF-Dependent Murine iPS cells. PLoS ONE. 5(12). e16092–e16092. 15 indexed citations

18.

Anderson, Philip D., et al.. (2009). Genetic Factors on Mouse Chromosome 18 Affecting Susceptibility to Testicular Germ Cell Tumors and Permissiveness to Embryonic Stem Cell Derivation. Cancer Research. 69(23). 9112–9117. 14 indexed citations

19.

Chou, Yu‐Fen, Maureen Eijpe, Akiko Yabuuchi, et al.. (2008). The Growth Factor Environment Defines Distinct Pluripotent Ground States in Novel Blastocyst-Derived Stem Cells. Cell. 135(3). 449–461. 168 indexed citations

20.

Xi, Hualin Simon, Hennady P. Shulha, Teresa R. Vales, et al.. (2007). Identification and Characterization of Cell Type–Specific and Ubiquitous Chromatin Regulatory Structures in the Human Genome. PLoS Genetics. 3(8). e136–e136. 176 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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