Jeffrey N. Myers

27.1k total citations · 1 hit paper
359 papers, 15.7k citations indexed

About

Jeffrey N. Myers is a scholar working on Oncology, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Jeffrey N. Myers has authored 359 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Oncology, 133 papers in Molecular Biology and 92 papers in Otorhinolaryngology. Recurrent topics in Jeffrey N. Myers's work include Head and Neck Cancer Studies (91 papers), Cancer-related Molecular Pathways (55 papers) and Head and Neck Surgical Oncology (32 papers). Jeffrey N. Myers is often cited by papers focused on Head and Neck Cancer Studies (91 papers), Cancer-related Molecular Pathways (55 papers) and Head and Neck Surgical Oncology (32 papers). Jeffrey N. Myers collaborates with scholars based in United States, China and Japan. Jeffrey N. Myers's co-authors include Dianna Roberts, Daisuke Sano, Adel K. El‐Naggar, Samar A. Jasser, Sangbum Choi, Steven B. Chinn, Curtis R. Pickering, Jayson S. Greenberg, Vivian Mo and Ge Zhou and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jeffrey N. Myers

350 papers receiving 15.4k citations

Hit 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.

Oral Cavity Carcinoma: Current Management, Controversies, and Future Directions

2015 319 citations Jeffrey N. Myers et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey N. Myers United States	69	6.5k	6.5k	3.6k	2.9k	2.7k	359	15.7k
Ruud H. Brakenhoff Netherlands	59	6.2k 1.0×	6.0k 0.9×	5.4k 1.5×	2.9k 1.0×	3.8k 1.4×	242	15.7k
Thomas E. Carey United States	61	6.2k 0.9×	5.0k 0.8×	3.6k 1.0×	2.6k 0.9×	2.5k 0.9×	328	14.1k
Joseph A. Califano United States	73	9.2k 1.4×	5.6k 0.9×	4.9k 1.3×	3.6k 1.2×	4.2k 1.6×	357	18.9k
Ezra E.W. Cohen United States	67	4.7k 0.7×	8.5k 1.3×	4.7k 1.3×	3.2k 1.1×	2.0k 0.7×	421	16.9k
Barbara Burtness United States	56	4.4k 0.7×	8.5k 1.3×	5.0k 1.4×	3.7k 1.3×	2.4k 0.9×	363	16.0k
David Raben United States	48	4.4k 0.7×	6.8k 1.1×	5.2k 1.4×	3.7k 1.3×	1.8k 0.7×	236	15.2k
Jan B. Vermorken Belgium	59	3.4k 0.5×	7.0k 1.1×	2.3k 0.6×	2.4k 0.8×	1.7k 0.6×	371	12.8k
Jennifer R. Grandis United States	75	10.6k 1.6×	10.5k 1.6×	4.2k 1.2×	3.1k 1.1×	4.1k 1.5×	342	23.4k
Paul M. Harari United States	60	4.7k 0.7×	8.6k 1.3×	5.9k 1.6×	4.0k 1.4×	1.8k 0.7×	303	18.1k
Sandrine Faivre France	58	6.7k 1.0×	6.8k 1.1×	916 0.3×	1.5k 0.5×	2.2k 0.8×	286	14.9k

Countries citing papers authored by Jeffrey N. Myers

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey N. Myers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey N. Myers. 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 Jeffrey N. Myers. The network helps show where Jeffrey N. Myers may publish in the future.

Co-authorship network of co-authors of Jeffrey N. Myers

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

All Works

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20 of 20 papers shown

Nogueras‐González, Graciela M., et al.. (2023). Oral Toxicities Associated with Immune Checkpoint Inhibitors: Meta-Analyses of Clinical Trials. SHILAP Revista de lepidopterología. 7(1). 24–40. 9 indexed citations

Na’ara, Shorook, Frederico O. Gleber‐Netto, Tongxin Xie, et al.. (2023). Beta-Blocker Use Is Associated With Worse Relapse-Free Survival in Patients With Head and Neck Cancer. JCO Precision Oncology. 7(7). e2200490–e2200490. 9 indexed citations

Lindemann, Antje, Ameeta A. Patel, Lin Tang, et al.. (2021). Combined Inhibition of Rad51 and Wee1 Enhances Cell Killing in HNSCC Through Induction of Apoptosis Associated With Excessive DNA Damage and Replication Stress. Molecular Cancer Therapeutics. 20(7). 1257–1269. 18 indexed citations

Hirz, Taghreed, Irene Guijarro, Monique B. Nilsson, et al.. (2020). Targeting of CD40 and PD-L1 Pathways Inhibits Progression of Oral Premalignant Lesions in a Carcinogen-induced Model of Oral Squamous Cell Carcinoma. Cancer Prevention Research. 14(3). 313–324. 25 indexed citations

Sandulache, Vlad C., Chieko Michikawa, Frederico O. Gleber‐Netto, et al.. (2018). High-Risk TP53 Mutations Are Associated with Extranodal Extension in Oral Cavity Squamous Cell Carcinoma. Clinical Cancer Research. 24(7). 1727–1733. 40 indexed citations

Thakar, Sudip, Oded Sagiv, Devjyoti Tripathy, et al.. (2017). Desmoplastic Melanoma of the Periorbital Region. Ophthalmic Plastic and Reconstructive Surgery. 34(2). e48–e52. 2 indexed citations

Skinner, Heath D., Uma Giri, Liang Yang, et al.. (2017). Integrative Analysis Identifies a Novel AXL–PI3 Kinase–PD-L1 Signaling Axis Associated with Radiation Resistance in Head and Neck Cancer. Clinical Cancer Research. 23(11). 2713–2722. 86 indexed citations

Wang, Jin, Tongxin Xie, Bingbing Wang, et al.. (2017). PD-1 Blockade Prevents the Development and Progression of Carcinogen-Induced Oral Premalignant Lesions. Cancer Prevention Research. 10(12). 684–693. 58 indexed citations

Skinner, Heath D., Uma Giri, Liang Yang, et al.. (2016). Proteomic Profiling Identifies PTK2/FAK as a Driver of Radioresistance in HPV-negative Head and Neck Cancer. Clinical Cancer Research. 22(18). 4643–4650. 55 indexed citations

10.

Tanaka, Noriaki, Ameeta A. Patel, Jiping Wang, et al.. (2015). Wee-1 Kinase Inhibition Sensitizes High-Risk HPV+ HNSCC to Apoptosis Accompanied by Downregulation of MCl-1 and XIAP Antiapoptotic Proteins. Clinical Cancer Research. 21(21). 4831–4844. 46 indexed citations

11.

Sandulache, Vlad C., Yunyun Chen, Heath D. Skinner, et al.. (2015). Acute Tumor Lactate Perturbations as a Biomarker of Genotoxic Stress: Development of a Biochemical Model. Molecular Cancer Therapeutics. 14(12). 2901–2908. 16 indexed citations

12.

Mazumdar, Tuhina, Lauren A. Byers, Patrick Kwok Shing Ng, et al.. (2014). A Comprehensive Evaluation of Biomarkers Predictive of Response to PI3K Inhibitors and of Resistance Mechanisms in Head and Neck Squamous Cell Carcinoma. Molecular Cancer Therapeutics. 13(11). 2738–2750. 66 indexed citations

13.

Pickering, Curtis R., Jiexin Zhang, David M. Neskey, et al.. (2014). Squamous Cell Carcinoma of the Oral Tongue in Young Non-Smokers Is Genomically Similar to Tumors in Older Smokers. Clinical Cancer Research. 20(14). 3842–3848. 118 indexed citations

14.

Osman, Abdullah A., Marcus M. Monroe, Marcus V. Ortega Alves, et al.. (2014). Wee-1 Kinase Inhibition Overcomes Cisplatin Resistance Associated with High-Risk TP53 Mutations in Head and Neck Cancer through Mitotic Arrest Followed by Senescence. Molecular Cancer Therapeutics. 14(2). 608–619. 88 indexed citations

15.

Luke, Geoffrey P., Jeffrey N. Myers, Stanislav Emelianov, & Konstantin Sokolov. (2014). Sentinel Lymph Node Biopsy Revisited: Ultrasound-Guided Photoacoustic Detection of Micrometastases Using Molecularly Targeted Plasmonic Nanosensors. Cancer Research. 74(19). 5397–5408. 94 indexed citations

16.

Sano, Daisuke, Tong-Xin Xie, Thomas J. Ow, et al.. (2011). Disruptive TP53 Mutation Is Associated with Aggressive Disease Characteristics in an Orthotopic Murine Model of Oral Tongue Cancer. Clinical Cancer Research. 17(21). 6658–6670. 87 indexed citations

17.

Chen, Yunyun, Daisuke Sano, Mitchell J. Frederick, et al.. (2011). Targeted Therapy of VEGFR2 and EGFR Significantly Inhibits Growth of Anaplastic Thyroid Cancer in an Orthotopic Murine Model. Clinical Cancer Research. 17(8). 2281–2291. 68 indexed citations

18.

Sikora, Andrew G., Alexander Gelbard, Michael A. Davies, et al.. (2010). Targeted Inhibition of Inducible Nitric Oxide Synthase Inhibits Growth of Human Melanoma In vivo and Synergizes with Chemotherapy. Clinical Cancer Research. 16(6). 1834–1844. 107 indexed citations

19.

Lee, Terence K., Ronnie T.P. Poon, Jana Y. Wo, et al.. (2007). Lupeol Suppresses Cisplatin-Induced Nuclear Factor-κB Activation in Head and Neck Squamous Cell Carcinoma and Inhibits Local Invasion and Nodal Metastasis in an Orthotopic Nude Mouse Model. Cancer Research. 67(18). 8800–8809. 90 indexed citations

20.

Myers, Jeffrey N., Jeffrey A. Drebin, Takuro Wada, & Mark I. Greene. (1991). Biological effects of monoclonal antireceptor antibodies reactive with neu oncogene product, p185neu. Methods in enzymology on CD-ROM/Methods in enzymology. 198. 277–290. 6 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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