Daniel E. Johnson

18.4k total citations · 6 hit papers
133 papers, 13.6k citations indexed

About

Daniel E. Johnson is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daniel E. Johnson has authored 133 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 55 papers in Oncology and 27 papers in Cancer Research. Recurrent topics in Daniel E. Johnson's work include Cytokine Signaling Pathways and Interactions (25 papers), Cell death mechanisms and regulation (25 papers) and NF-κB Signaling Pathways (18 papers). Daniel E. Johnson is often cited by papers focused on Cytokine Signaling Pathways and Interactions (25 papers), Cell death mechanisms and regulation (25 papers) and NF-κB Signaling Pathways (18 papers). Daniel E. Johnson collaborates with scholars based in United States, Canada and China. Daniel E. Johnson's co-authors include Jennifer R. Grandis, Lewis T. Williams, Rachel A. O’Keefe, Julie E. Bauman, Vivian Wai Yan Lui, C. René Leemans, Barbara Burtness, L T Williams, Sabine Werner and Shivendra V. Singh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel E. Johnson

129 papers receiving 13.4k citations

Hit Papers

Head and neck squamous ce... 1989 2026 2001 2013 2020 2018 1992 1993 1989 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel E. Johnson 8.4k 4.3k 2.3k 2.2k 1.5k 133 13.6k
Vassilis G. Gorgoulis 11.6k 1.4× 5.4k 1.2× 3.2k 1.4× 2.0k 0.9× 1.7k 1.1× 331 18.5k
Yi-Xin Zeng 6.8k 0.8× 3.6k 0.8× 3.8k 1.7× 1.8k 0.8× 703 0.5× 183 11.3k
Mu‐Sheng Zeng 6.8k 0.8× 4.2k 1.0× 4.0k 1.8× 1.6k 0.7× 575 0.4× 297 11.7k
Walter N. Hittelman 7.4k 0.9× 3.8k 0.9× 2.5k 1.1× 984 0.5× 510 0.3× 223 12.2k
Alexandra Giatromanolaki 7.6k 0.9× 4.2k 1.0× 5.9k 2.6× 2.0k 0.9× 714 0.5× 389 15.3k
Dennis E. Hallahan 6.5k 0.8× 3.2k 0.7× 1.9k 0.8× 1.3k 0.6× 592 0.4× 267 13.3k
Thierry Soussi 7.5k 0.9× 7.9k 1.8× 3.2k 1.4× 1.2k 0.5× 609 0.4× 174 13.1k
Weiya Xia 12.4k 1.5× 8.0k 1.8× 3.8k 1.7× 2.4k 1.1× 1.3k 0.8× 114 18.0k
Andres J. Klein–Szanto 12.0k 1.4× 7.0k 1.6× 4.9k 2.2× 1.7k 0.8× 2.6k 1.7× 383 21.3k
Michael I. Koukourakis 6.1k 0.7× 3.9k 0.9× 5.0k 2.2× 1.1k 0.5× 558 0.4× 332 13.0k

Countries citing papers authored by Daniel E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Johnson. 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 Daniel E. Johnson. The network helps show where Daniel E. Johnson may publish in the future.

Co-authorship network of co-authors of Daniel E. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Johnson. A scholar is included among the top collaborators of Daniel E. Johnson 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 Daniel E. Johnson. Daniel E. Johnson 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.
Na’ara, Shorook, Zhibin Cui, Becky Xu Hua Fu, et al.. (2025). Neddylation as a target in PIK3CA-mutated head and neck cancer. Biochemical and Biophysical Research Communications. 759. 151703–151703. 1 indexed citations
2.
Luo, Ying, Chao Wang, Daniel E. Johnson, et al.. (2025). A regularized‐multi‐field optimization algorithm for robust IMPT. Medical Physics. 52(8). e18046–e18046.
3.
Na’ara, Shorook, et al.. (2025). Blockade of the PGE2 Pathway Inhibits the Growth of PTEN-Deficient HNSCC Tumors. Molecular Cancer Therapeutics. 24(6). 931–941.
4.
Borah, Ashir A., et al.. (2025). Human Papilloma Virus Does Not Fully Inactivate p53 Cellular Activity in HNSCC. Head & Neck. 48(3). 863–875.
5.
Grandis, Jennifer R., Katherine A. Skorupski, Ning Cheng, et al.. (2025). Safety and efficacy of a STAT3-targeted cyclic oligonucleotide: From murine models to a phase 1 clinical trial in pet cats with oral cancer. Cancer Cell. 43(11). 2051–2068.e9. 2 indexed citations
6.
Johnson, Daniel E., H. Harold Li, & Bruce F. Kimler. (2024). Dosimetry: Was and Is an Absolute Requirement for Quality Radiation Research. Radiation Research. 202(2). 102–129. 5 indexed citations
7.
Zeng, Yan, Jose Rivera, Ning Cheng, et al.. (2022). STAT3 Activation as a Predictive Biomarker for Ruxolitinib Response in Head and Neck Cancer. Clinical Cancer Research. 28(21). 4737–4746. 19 indexed citations
8.
Grandis, Jennifer R., et al.. (2022). The mutational profiles and corresponding therapeutic implications of PI3K mutations in cancer. Advances in Biological Regulation. 87. 100934–100934. 9 indexed citations
10.
Izumi, Hiroki, Zhiyong Wang, Yusuke Goto, et al.. (2020). Pathway-Specific Genome Editing of PI3K/mTOR Tumor Suppressor Genes Reveals that PTEN Loss Contributes to Cetuximab Resistance in Head and Neck Cancer. Molecular Cancer Therapeutics. 19(7). 1562–1571. 24 indexed citations
11.
Brand, Toni M., Stefan Hartmann, Neil E. Bhola, et al.. (2018). Cross-talk Signaling between HER3 and HPV16 E6 and E7 Mediates Resistance to PI3K Inhibitors in Head and Neck Cancer. Cancer Research. 78(9). 2383–2395. 31 indexed citations
12.
Farooqui, Mariya, et al.. (2018). STAT3 Cyclic Decoy Demonstrates Robust Antitumor Effects in Non–Small Cell Lung Cancer. Molecular Cancer Therapeutics. 17(9). 1917–1926. 34 indexed citations
13.
Redner, Robert L., Jan H. Beumer, Patricia Kropf, et al.. (2018). A phase-1 study of dasatinib plus all-trans retinoic acid in acute myeloid leukemia. Leukemia & lymphoma. 59(11). 2595–2601. 10 indexed citations
14.
Peyser, Noah D., Lin Wang, Yan Zeng, et al.. (2016). STAT3 as a Chemoprevention Target in Carcinogen-Induced Head and Neck Squamous Cell Carcinoma. Cancer Prevention Research. 9(8). 657–663. 11 indexed citations
15.
Bauman, Julie E., Yan Zang, Malabika Sen, et al.. (2016). Prevention of Carcinogen-Induced Oral Cancer by Sulforaphane. Cancer Prevention Research. 9(7). 547–557. 85 indexed citations
16.
Brand, Toni M., Stefan Hartmann, Neil E. Bhola, et al.. (2016). Human Papillomavirus Regulates HER3 Expression in Head and Neck Cancer: Implications for Targeted HER3 Therapy in HPV+ Patients. Clinical Cancer Research. 23(12). 3072–3083. 44 indexed citations
17.
Sen, Malabika, Sonali Joyce, Changyou Li, et al.. (2012). Targeting Stat3 Abrogates EGFR Inhibitor Resistance in Cancer. Clinical Cancer Research. 18(18). 4986–4996. 128 indexed citations
18.
Zang, Yan, Sufi M. Thomas, Elena T. Chan, et al.. (2012). Carfilzomib and ONX 0912 Inhibit Cell Survival and Tumor Growth of Head and Neck Cancer and Their Activities Are Enhanced by Suppression of Mcl-1 or Autophagy. Clinical Cancer Research. 18(20). 5639–5649. 66 indexed citations
20.
Li, Changyou, Rongxiu Li, Jennifer R. Grandis, & Daniel E. Johnson. (2008). Bortezomib induces apoptosis via Bim and Bik up-regulation and synergizes with cisplatin in the killing of head and neck squamous cell carcinoma cells. Molecular Cancer Therapeutics. 7(6). 1647–1655. 59 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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