Joseph G. Kern

668 total citations · 1 hit paper
10 papers, 473 citations indexed

About

Joseph G. Kern is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Joseph G. Kern has authored 10 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Joseph G. Kern's work include Hippo pathway signaling and YAP/TAZ (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Genomics and Chromatin Dynamics (1 paper). Joseph G. Kern is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Genomics and Chromatin Dynamics (1 paper). Joseph G. Kern collaborates with scholars based in United States, Greece and Italy. Joseph G. Kern's co-authors include Hui Feng, Nicole Anderson, Patrick Mucka, Xaralabos Varelas, Stefano Monti, Jennifer Beane, Andrew Tilston-Lünel, Anthony Federico, Ravi B. Patel and Raghava N. Sriramaneni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Joseph G. Kern

9 papers receiving 470 citations

Hit Papers

The emerging role and tar... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph G. Kern United States 6 316 247 61 54 44 10 473
Tanushree Ghosh India 5 396 1.3× 202 0.8× 71 1.2× 66 1.2× 56 1.3× 6 519
Bing Wei China 15 408 1.3× 283 1.1× 64 1.0× 77 1.4× 41 0.9× 33 622
Chee Wai Fhu Singapore 8 300 0.9× 228 0.9× 95 1.6× 60 1.1× 43 1.0× 8 478
Yingze Wei China 15 376 1.2× 142 0.6× 98 1.6× 40 0.7× 54 1.2× 24 574
Hai-Yu Mo China 8 285 0.9× 187 0.8× 104 1.7× 53 1.0× 32 0.7× 10 454
Qiuzhen Liu China 12 348 1.1× 225 0.9× 100 1.6× 46 0.9× 70 1.6× 18 566
Domenico Di Marzo Italy 10 392 1.2× 154 0.6× 115 1.9× 90 1.7× 30 0.7× 11 564
Katarína Kľučková United Kingdom 11 334 1.1× 242 1.0× 46 0.8× 54 1.0× 28 0.6× 16 514

Countries citing papers authored by Joseph G. Kern

Since Specialization
Citations

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

Fields of papers citing papers by Joseph G. Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph G. Kern. 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 Joseph G. Kern. The network helps show where Joseph G. Kern may publish in the future.

Co-authorship network of co-authors of Joseph G. Kern

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph G. Kern. A scholar is included among the top collaborators of Joseph G. Kern 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 Joseph G. Kern. Joseph G. Kern 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.
Kern, Joseph G., et al.. (2025). LATS1/2 inactivation in the mammary epithelium drives the evolution of a tumor-associated niche. EMBO Reports. 26(6). 1472–1503. 2 indexed citations
2.
Federico, Anthony, Joseph G. Kern, Xaralabos Varelas, & Stefano Monti. (2023). Structure learning for gene regulatory networks. PLoS Computational Biology. 19(5). e1011118–e1011118. 2 indexed citations
3.
Kern, Joseph G., Andrew Tilston-Lünel, Anthony Federico, et al.. (2022). Inactivation of LATS1/2 drives luminal-basal plasticity to initiate basal-like mammary carcinomas. Nature Communications. 13(1). 17 indexed citations
4.
Gold, Daniel, Linda Lee, Joseph G. Kern, et al.. (2022). The Transulnar Approach to Coronary Angiography and Intervention: Assessing the Anatomy of the Ulnar Artery Using Angiography. ˜The œJournal of invasive cardiology. 34(3). E164–E170.
5.
Tilston-Lünel, Andrew, Sarah A. Mazzilli, Aleksander D. Szymaniak, et al.. (2021). Aberrant epithelial polarity cues drive the development of precancerous airway lesions. Proceedings of the National Academy of Sciences. 118(18). 16 indexed citations
6.
Xanthopoulos, Konstantinos, Theofilos Poutahidis, Chrysanthi Ainali, et al.. (2020). The Tumor Suppressor CYLD Inhibits Mammary Epithelial to Mesenchymal Transition by the Coordinated Inhibition of YAP/TAZ and TGFβ Signaling. Cancers. 12(8). 2047–2047. 11 indexed citations
7.
Kartha, Vinay K., Paola Sebastiani, Joseph G. Kern, et al.. (2019). CaDrA: A Computational Framework for Performing Candidate Driver Analyses Using Genomic Features. Frontiers in Genetics. 10. 121–121. 5 indexed citations
8.
Werner, Lauryn R., Jasdeep S. Kler, Joseph G. Kern, et al.. (2017). Transcriptional-mediated effects of radiation on the expression of immune susceptibility markers in melanoma. Radiotherapy and Oncology. 124(3). 418–426. 20 indexed citations
9.
Anderson, Nicole, Patrick Mucka, Joseph G. Kern, & Hui Feng. (2017). The emerging role and targetability of the TCA cycle in cancer metabolism. Protein & Cell. 9(2). 216–237. 399 indexed citations breakdown →
10.
Li, Chunrong, Joseph G. Kern, Shyhmin Huang, et al.. (2016). Abstract 2102A: Simultaneous targeting of EGFR and ALK in EML4-ALK positive lung cancer to inhibit tumor cell proliferation and migration. Cancer Research. 76(14_Supplement). 2102A–2102A. 1 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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