Jason Nowak

1.5k total citations
20 papers, 1.1k citations indexed

About

Jason Nowak is a scholar working on Genetics, Molecular Biology and Toxicology. According to data from OpenAlex, Jason Nowak has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Toxicology. Recurrent topics in Jason Nowak's work include Estrogen and related hormone effects (13 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Computational Drug Discovery Methods (4 papers). Jason Nowak is often cited by papers focused on Estrogen and related hormone effects (13 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Computational Drug Discovery Methods (4 papers). Jason Nowak collaborates with scholars based in United States, China and France. Jason Nowak's co-authors include K.W. Nettles, John A. Katzenellenbogen, Germán A. Gil, John B. Bruning, Sathish Srinivasan, J.C. Nwachukwu, Geoffrey L. Greene, Douglas J. Kojetin, V. Cavett and Tudor Hughes and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Jason Nowak

20 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
Jason Nowak United States 15 557 485 203 165 122 20 1.1k
W J Checovich United States 11 378 0.7× 213 0.4× 51 0.3× 85 0.5× 41 0.3× 12 961
Wenwei Lin United States 23 645 1.2× 254 0.5× 51 0.3× 348 2.1× 101 0.8× 61 1.4k
Randall E. Bolger United States 7 357 0.6× 212 0.4× 55 0.3× 55 0.3× 66 0.5× 9 677
Rock Breton Canada 18 530 1.0× 348 0.7× 80 0.4× 49 0.3× 67 0.5× 30 1.1k
Vassilios Myrianthopoulos Greece 20 839 1.5× 55 0.1× 97 0.5× 182 1.1× 438 3.6× 49 1.5k
Alexey Koval Switzerland 24 977 1.8× 151 0.3× 45 0.2× 144 0.9× 45 0.4× 61 1.4k
Hui Wen Ng United States 16 289 0.5× 136 0.3× 182 0.9× 30 0.2× 50 0.4× 23 652
David Claveau Canada 15 416 0.7× 225 0.5× 39 0.2× 68 0.4× 255 2.1× 29 1.1k
Eunyoung Park South Korea 20 1.2k 2.2× 58 0.1× 114 0.6× 489 3.0× 181 1.5× 48 1.7k
Maria Antonietta Belisario Italy 23 697 1.3× 72 0.1× 27 0.1× 71 0.4× 70 0.6× 51 1.2k

Countries citing papers authored by Jason Nowak

Since Specialization
Citations

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

Fields of papers citing papers by Jason Nowak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Nowak

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Nowak. A scholar is included among the top collaborators of Jason Nowak 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 Jason Nowak. Jason Nowak 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
1.
2.
Nowak, Jason, et al.. (2023). The Ankle Joint. Clinics in Podiatric Medicine and Surgery. 40(4). 711–724. 1 indexed citations
3.
Bruno, Nelson E., J.C. Nwachukwu, Sathish Srinivasan, et al.. (2021). Chemical systems biology reveals mechanisms of glucocorticoid receptor signaling. Nature Chemical Biology. 17(3). 307–316. 15 indexed citations
4.
Nowak, Jason, et al.. (2021). Custom total talus replacement as a salvage option for failed total ankle arthroplasty: A prospective report of two cases. SHILAP Revista de lepidopterología. 2(1). 100113–100113. 7 indexed citations
5.
Mediouni, Sonia, Krishna Chinthalapudi, Joseph Jablonski, et al.. (2019). Didehydro-Cortistatin A Inhibits HIV-1 by Specifically Binding to the Unstructured Basic Region of Tat. mBio. 10(1). 67 indexed citations
6.
Stender, Joshua D., J.C. Nwachukwu, Irida Kastrati, et al.. (2017). Structural and Molecular Mechanisms of Cytokine-Mediated Endocrine Resistance in Human Breast Cancer Cells. Molecular Cell. 65(6). 1122–1135.e5. 88 indexed citations
7.
Nwachukwu, J.C., Sathish Srinivasan, Yangfan Zheng, et al.. (2016). Predictive features of ligand‐specific signaling through the estrogen receptor. Molecular Systems Biology. 12(4). 864–864. 43 indexed citations
8.
Nwachukwu, J.C., Sathish Srinivasan, Nelson E. Bruno, et al.. (2016). Systems Structural Biology Analysis of Ligand Effects on ERα Predicts Cellular Response to Environmental Estrogens and Anti-hormone Therapies. Cell chemical biology. 24(1). 35–45. 35 indexed citations
9.
Srinivasan, Sathish, J.C. Nwachukwu, Nelson E. Bruno, et al.. (2016). Full antagonism of the estrogen receptor without a prototypical ligand side chain. Nature Chemical Biology. 13(1). 111–118. 49 indexed citations
10.
Fanning, Sean W., Christopher G. Mayne, Weiyi Toy, et al.. (2016). Abstract 4854: Bazedoxifene inhibits ESR1 somatic mutants with improved potency compared to tamoxifene and raloxifene. Cancer Research. 76(14_Supplement). 4854–4854. 2 indexed citations
11.
Kojetin, Douglas J., Edna Matta‐Camacho, Tudor Hughes, et al.. (2015). Structural mechanism for signal transduction in RXR nuclear receptor heterodimers. Nature Communications. 6(1). 8013–8013. 107 indexed citations
12.
Nwachukwu, J.C., Sathish Srinivasan, Nelson E. Bruno, et al.. (2014). Resveratrol modulates the inflammatory response via an estrogen receptor-signal integration network. eLife. 3. e02057–e02057. 115 indexed citations
13.
Srinivasan, Sathish, J.C. Nwachukwu, V. Cavett, et al.. (2013). Ligand-binding dynamics rewire cellular signaling via estrogen receptor-α. Nature Chemical Biology. 9(5). 326–332. 55 indexed citations
14.
Bruning, John B., A.A. Parent, Germán A. Gil, et al.. (2010). Coupling of receptor conformation and ligand orientation determine graded activity. Nature Chemical Biology. 6(11). 837–843. 110 indexed citations
15.
Nettles, K.W., John B. Bruning, Germán A. Gil, et al.. (2008). NFκB selectivity of estrogen receptor ligands revealed by comparative crystallographic analyses. Nature Chemical Biology. 4(4). 241–247. 128 indexed citations
16.
Nettles, K.W., John B. Bruning, Germán A. Gil, et al.. (2007). Structural plasticity in the oestrogen receptor ligand‐binding domain. EMBO Reports. 8(6). 563–568. 118 indexed citations
17.
Nettles, K.W., et al.. (2007). CBP Is a Dosage-Dependent Regulator of Nuclear Factor-κB Suppression by the Estrogen Receptor. Molecular Endocrinology. 22(2). 263–272. 53 indexed citations
18.
Nettles, K.W., John B. Bruning, Germán A. Gil, et al.. (2007). Structural plasticity in the oestrogen receptor ligand‐binding domain. EMBO Reports. 8(6). 610–610. 5 indexed citations
19.
Michaels, James, et al.. (1995). Analysis of cell‐to‐bubble attachment in sparged bioreactors in the presence of cell‐protecting additives. Biotechnology and Bioengineering. 47(4). 407–419. 63 indexed citations
20.
Michaels, James, et al.. (1995). Interfacial properties of cell culture media with cell‐protecting additives. Biotechnology and Bioengineering. 47(4). 420–430. 47 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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