Jamie J. Newman

8.5k total citations · 4 hit papers
21 papers, 6.6k citations indexed

About

Jamie J. Newman is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jamie J. Newman has authored 21 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Jamie J. Newman's work include Pluripotent Stem Cells Research (5 papers), Mesenchymal stem cell research (4 papers) and Cancer-related Molecular Pathways (4 papers). Jamie J. Newman is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Mesenchymal stem cell research (4 papers) and Cancer-related Molecular Pathways (4 papers). Jamie J. Newman collaborates with scholars based in United States, Netherlands and Canada. Jamie J. Newman's co-authors include Tyler Jacks, Richard A. Young, Laura Lintault, Andrea Ventura, Michael H. Kagey, Stuart S. Levine, Steve Bilodeau, David A. Orlando, Phillip A. Sharp and Rudolf Jaenisch and has published in prestigious journals such as Nature, Cell and Genes & Development.

In The Last Decade

Jamie J. Newman

21 papers receiving 6.6k citations

Hit Papers

4 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.

Mediator and cohesin connect gene expression and chromatin architecture

2010 1.4k citations Michael H. Kagey, Jamie J. Newman et al. Nature profile →
Restoration of p53 function leads to tumour regression in vivo

2007 1.4k citations Andrea Ventura, David G. Kirsch et al. Nature profile →
Targeted Deletion Reveals Essential and Overlapping Functions of the miR-17∼92 Family of miRNA Clusters

2008 1.3k citations Andrea Ventura, Amanda Young et al. Cell profile →
Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells

2008 1.1k citations Alexander Marson, Stuart S. Levine et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamie J. Newman United States	12	5.5k	2.1k	1.2k	488	472	21	6.6k
Satrajit Sinha United States	39	3.5k 0.6×	754 0.4×	1.9k 1.5×	533 1.1×	619 1.3×	112	5.3k
David O. Ferguson United States	40	6.2k 1.1×	1.4k 0.7×	2.4k 2.0×	842 1.7×	645 1.4×	67	7.6k
Ruben van Boxtel Netherlands	30	2.7k 0.5×	1.4k 0.7×	1.7k 1.4×	386 0.8×	700 1.5×	84	5.0k
Ralph Meuwissen Netherlands	19	2.6k 0.5×	1.0k 0.5×	1.4k 1.2×	348 0.7×	428 0.9×	25	4.1k
Monica Venere United States	26	3.9k 0.7×	1.2k 0.6×	1.9k 1.5×	248 0.5×	345 0.7×	60	4.8k
Antonio Postigo Spain	40	5.0k 0.9×	1.2k 0.6×	2.8k 2.3×	1.3k 2.7×	725 1.5×	74	7.7k
Pilar Sánchez‐Gómez Spain	31	4.3k 0.8×	775 0.4×	1.4k 1.1×	360 0.7×	697 1.5×	79	5.9k
P. Mathijs Voorhoeve Singapore	27	3.4k 0.6×	1.7k 0.8×	988 0.8×	229 0.5×	419 0.9×	33	4.2k
Dalong Qian United States	16	3.6k 0.6×	1.6k 0.8×	2.2k 1.8×	646 1.3×	534 1.1×	30	5.4k
J. Michael Ruppert United States	36	5.4k 1.0×	1.9k 0.9×	2.3k 1.9×	381 0.8×	1.2k 2.5×	54	7.6k

Countries citing papers authored by Jamie J. Newman

Since Specialization

Citations

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

Fields of papers citing papers by Jamie J. Newman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie J. Newman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Newman, Jamie J., et al.. (2024). Nuclear Transcription Factor Detection. Methods in molecular biology. 2783. 367–390. 1 indexed citations

Stephens, Jacqueline M., et al.. (2022). MED12 Regulates Human Adipose-Derived Stem Cell Adipogenesis and Mediator Kinase Subunit Expression in Murine Adipose Depots. Stem Cells and Development. 31(5-6). 119–131. 1 indexed citations

Lee, Laura, et al.. (2022). Wastewater surveillance in smaller college communities may aid future public health initiatives. PLoS ONE. 17(9). e0270385–e0270385. 8 indexed citations

Newman, Jamie J., et al.. (2022). Developing curriculum for teaching scientific visual communication. 1 indexed citations

Newman, Jamie J., et al.. (2020). Distinct roles for Notch1 and Notch3 in human adipose-derived stem/stromal cell adipogenesis. Molecular Biology Reports. 47(11). 8439–8450. 11 indexed citations

Newman, Jamie J., et al.. (2020). Mediator's Kinase Module: A Modular Regulator of Cell Fate. Stem Cells and Development. 29(24). 1535–1551. 6 indexed citations

Lee, Laura, et al.. (2020). Combination of soluble factors and biomaterial scaffolds enhance human adipose-derived stem/stromal cell myogenesis. Biochemical and Biophysical Research Communications. 529(4). 1180–1185. 3 indexed citations

Newman, Jamie J., et al.. (2019). Poly (ethylene glycol) hydrogel scaffolds with multiscale porosity for culture of human adipose-derived stem cells. Journal of Biomaterials Science Polymer Edition. 30(11). 895–918. 11 indexed citations

Bunnell, Bruce A., et al.. (2018). MED31 involved in regulating self-renewal and adipogenesis of human mesenchymal stem cells. Molecular Biology Reports. 45(5). 1545–1550. 3 indexed citations

10.

Caldorera‐Moore, Mary, et al.. (2018). Poly (ethylene glycol) hydrogel elasticity influences human mesenchymal stem cell behavior. Regenerative Biomaterials. 5(3). 167–175. 45 indexed citations

11.

Sandel, Demi, et al.. (2018). Notch3 is involved in adipogenesis of human adipose-derived stromal/stem cells. Biochimie. 150. 31–36. 13 indexed citations

12.

Newman, Jamie J., et al.. (2016). Poly(ethylene glycol) Hydrogels with Tailorable Surface and Mechanical Properties for Tissue Engineering Applications. ACS Biomaterials Science & Engineering. 3(8). 1494–1498. 20 indexed citations

13.

Mullen, Alan C., David A. Orlando, Jamie J. Newman, et al.. (2011). Master Transcription Factors Determine Cell-Type-Specific Responses to TGF-β Signaling. Cell. 147(3). 565–576. 458 indexed citations

14.

Kagey, Michael H., Jamie J. Newman, Steve Bilodeau, et al.. (2010). Mediator and cohesin connect gene expression and chromatin architecture. Nature. 467(7314). 430–435. 1430 indexed citations breakdown →

15.

Newman, Jamie J. & R A Young. (2010). Connecting Transcriptional Control to Chromosome Structure and Human Disease. Cold Spring Harbor Symposia on Quantitative Biology. 75(0). 227–235. 11 indexed citations

16.

Ventura, Andrea, Amanda Young, Monte M. Winslow, et al.. (2008). Targeted Deletion Reveals Essential and Overlapping Functions of the miR-17∼92 Family of miRNA Clusters. Cell. 132(5). 875–886. 1300 indexed citations breakdown →

17.

Marson, Alexander, Stuart S. Levine, Megan F. Cole, et al.. (2008). Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells. Cell. 134(3). 521–533. 1104 indexed citations breakdown →

18.

Cole, Megan F., Sarah E. Johnstone, Jamie J. Newman, Michael H. Kagey, & Richard A. Young. (2008). Tcf3 is an integral component of the core regulatory circuitry of embryonic stem cells. Genes & Development. 22(6). 746–755. 397 indexed citations

19.

Ventura, Andrea, David G. Kirsch, Margaret E. McLaughlin, et al.. (2007). Restoration of p53 function leads to tumour regression in vivo. Nature. 445(7128). 661–665. 1402 indexed citations breakdown →

20.

Flores, Elsa R., Shomit Sengupta, John B. Miller, et al.. (2005). Tumor predisposition in mice mutant for p63 and p73: Evidence for broader tumor suppressor functions for the p53 family. Cancer Cell. 7(4). 363–373. 383 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.

Explore authors with similar magnitude of impact