Joshua P. Plotnik

757 total citations
10 papers, 235 citations indexed

About

Joshua P. Plotnik is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Joshua P. Plotnik has authored 10 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Joshua P. Plotnik's work include Ubiquitin and proteasome pathways (5 papers), Prostate Cancer Treatment and Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Joshua P. Plotnik is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Prostate Cancer Treatment and Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Joshua P. Plotnik collaborates with scholars based in United States. Joshua P. Plotnik's co-authors include Peter C. Hollenhorst, Justin A. Budka, Mary W. Ferris, Travis J. Jerde, Vivekananda Kedage, Subramanyam Dasari, James Haley, Anirban Mitra, Robert E. Emerson and Sunil Tomar and has published in prestigious journals such as Nucleic Acids Research, Molecular and Cellular Biology and Cell Reports.

In The Last Decade

Joshua P. Plotnik

9 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua P. Plotnik United States 6 174 64 61 57 36 10 235
Mohammad A. Shatat United States 7 140 0.8× 47 0.7× 53 0.9× 43 0.8× 26 0.7× 8 220
Jens E. Ruhe Germany 5 247 1.4× 35 0.5× 49 0.8× 79 1.4× 33 0.9× 8 308
Monika Kowal Poland 9 141 0.8× 42 0.7× 53 0.9× 53 0.9× 31 0.9× 15 258
Mengzhu Yang China 10 173 1.0× 36 0.6× 103 1.7× 99 1.7× 38 1.1× 18 276
Zhuming Lu China 8 163 0.9× 54 0.8× 128 2.1× 59 1.0× 34 0.9× 13 261
Wiebke Antonopoulos Germany 8 107 0.6× 49 0.8× 40 0.7× 81 1.4× 18 0.5× 11 206
Krista R. Verhoeft Hong Kong 6 109 0.6× 35 0.5× 48 0.8× 48 0.8× 18 0.5× 7 170
Yingsheng Xiao China 9 190 1.1× 45 0.7× 126 2.1× 109 1.9× 39 1.1× 12 295
Alexander E. Kudinov United States 5 235 1.4× 34 0.5× 94 1.5× 70 1.2× 24 0.7× 6 314
Heathcliff Dorado García Germany 6 131 0.8× 73 1.1× 45 0.7× 57 1.0× 15 0.4× 11 208

Countries citing papers authored by Joshua P. Plotnik

Since Specialization
Citations

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

Fields of papers citing papers by Joshua P. Plotnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua P. Plotnik. 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 Joshua P. Plotnik. The network helps show where Joshua P. Plotnik may publish in the future.

Co-authorship network of co-authors of Joshua P. Plotnik

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

All Works

10 of 10 papers shown
1.
Plotnik, Joshua P., Irene Lee, Jacob Riehm, et al.. (2024). MYC Family Amplification Dictates Sensitivity to BET Bromodomain Protein Inhibitor Mivebresib (ABBV075) in Small-Cell Lung Cancer. Molecular Cancer Research. 22(8). 689–698.
2.
Plotnik, Joshua P., et al.. (2021). Toll-like receptor 4 signaling activates ERG function in prostate cancer and provides a therapeutic target. NAR Cancer. 3(1). zcaa046–zcaa046. 10 indexed citations
3.
Plotnik, Joshua P. & Peter C. Hollenhorst. (2017). Interaction with ZMYND11 mediates opposing roles of Ras-responsive transcription factors ETS1 and ETS2. PMC. 5 indexed citations
4.
Tomar, Sunil, Joshua P. Plotnik, James Haley, et al.. (2017). ETS1 induction by the microenvironment promotes ovarian cancer metastasis through focal adhesion kinase. Cancer Letters. 414. 190–204. 42 indexed citations
5.
Plotnik, Joshua P. & Peter C. Hollenhorst. (2017). Interaction with ZMYND11 mediates opposing roles of Ras-responsive transcription factors ETS1 and ETS2. Nucleic Acids Research. 45(8). gkx039–gkx039. 18 indexed citations
6.
Kedage, Vivekananda, et al.. (2016). An Interaction with Ewing's Sarcoma Breakpoint Protein EWS Defines a Specific Oncogenic Mechanism of ETS Factors Rearranged in Prostate Cancer. PMC. 1 indexed citations
7.
Plotnik, Joshua P. & Peter C. Hollenhorst. (2016). Genome-Wide Analysis of RAS/ERK Signaling Targets. Methods in molecular biology. 1487. 277–288. 1 indexed citations
8.
9.
Plotnik, Joshua P., Justin A. Budka, Mary W. Ferris, & Peter C. Hollenhorst. (2014). ETS1 is a genome-wide effector of RAS/ERK signaling in epithelial cells. Nucleic Acids Research. 42(19). 11928–11940. 100 indexed citations
10.
Budka, Justin A., et al.. (2014). Extracellular Signal-Regulated Kinase Signaling Regulates the Opposing Roles of JUN Family Transcription Factors at ETS/AP-1 Sites and in Cell Migration. Molecular and Cellular Biology. 35(1). 88–100. 24 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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