John I. Song

1.8k total citations
34 papers, 1.1k citations indexed

About

John I. Song is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, John I. Song has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in John I. Song's work include Head and Neck Cancer Studies (8 papers), Lung Cancer Treatments and Mutations (6 papers) and Salivary Gland Tumors Diagnosis and Treatment (6 papers). John I. Song is often cited by papers focused on Head and Neck Cancer Studies (8 papers), Lung Cancer Treatments and Mutations (6 papers) and Salivary Gland Tumors Diagnosis and Treatment (6 papers). John I. Song collaborates with scholars based in United States, China and Japan. John I. Song's co-authors include Jennifer R. Grandis, David Raben, Changhu Chen, Madeleine Kane, Kyle E. Rusthoven, Shi‐Long Lu, Stephanie D. Drenning, Ari Ballonoff, Alan Wells and Jareer Kassis and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

John I. Song

33 papers receiving 1.1k citations

Peers

John I. Song

ONCOL

OTORH

PRM

Mark T. Boyd United Kingdom

Kun-Tu Yeh Taiwan

Giuseppina Della Vittoria Scarpati Italy

Esra Gündüz Japan

Katsunari Yane Japan

Pawadee Lohavanichbutr United States

Cong‐Fa Huang China

Shaobo Zhu United States

Xiaoan Tao China

Nilva K. Cervigne Brazil

Mark T. Boyd United Kingdom

John I. Song

710 ×1.4

562 ×1.1

ONCOL

281 ×1.1

101 ×0.4

OTORH

162 ×0.8

PRM

Citations per year, relative to John I. Song John I. Song (= 1×) peers Mark T. Boyd

Countries citing papers authored by John I. Song

Since Specialization

Citations

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

Fields of papers citing papers by John I. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John I. Song. 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 John I. Song. The network helps show where John I. Song may publish in the future.

Co-authorship network of co-authors of John I. Song

This figure shows the co-authorship network connecting the top 25 collaborators of John I. Song. A scholar is included among the top collaborators of John I. Song 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 John I. Song. John I. Song 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

Frank, Daniel N., Yue Qiu, Yu Cao, et al.. (2022). A dysbiotic microbiome promotes head and neck squamous cell carcinoma. Oncogene. 41(9). 1269–1280. 50 indexed citations

Lv, Ling, Dexiang Gao, Yu Cao, et al.. (2020). Abstract B07: Potential clinical value of methylated microRNAs in saliva-liquid biopsy for surveillance of head and neck squamous cell carcinoma. Clinical Cancer Research. 26(11_Supplement). B07–B07. 1 indexed citations

Westrich, Joseph A., Daniel W. Vermeer, Stephanie Bonney, et al.. (2019). CXCL14 suppresses human papillomavirus-associated head and neck cancer through antigen-specific CD8+ T-cell responses by upregulating MHC-I expression. Oncogene. 38(46). 7166–7180. 36 indexed citations

Keysar, Stephen B., Justin R. Eagles, Bettina Miller, et al.. (2018). Salivary Gland Cancer Patient-Derived Xenografts Enable Characterization of Cancer Stem Cells and New Gene Events Associated with Tumor Progression. Clinical Cancer Research. 24(12). 2935–2943. 24 indexed citations

Cao, Yu, Han Liu, Liwei Gao, et al.. (2018). Cooperation Between Pten and Smad4 in Murine Salivary Gland Tumor Formation and Progression. Neoplasia. 20(8). 764–774. 9 indexed citations

Thomas, Carissa M., et al.. (2017). Case Report of a Massive Retropharyngeal Goiter Resulting in Laryngeal Compression. A & A Case Reports. 9(6). 178–181. 6 indexed citations

Cicchini, Louis, Joseph A. Westrich, Tao Xu, et al.. (2016). Suppression of Antitumor Immune Responses by Human Papillomavirus through Epigenetic Downregulation of CXCL14. mBio. 7(3). 91 indexed citations

Harry, Brian L., et al.. (2016). Evidence for Extending the Duration of Chemoprophylaxis following Free Flap Harvest from the Lower Extremity: Prospective Screening for Deep Venous Thrombosis. Plastic & Reconstructive Surgery. 138(2). 500–508. 2 indexed citations

Deleyiannis, Frederic W.‐B., et al.. (2014). Supercharging and Augmenting Venous Drainage of an Anterolateral Thigh Free Flap. Plastic & Reconstructive Surgery Global Open. 2(4). e135–e135. 8 indexed citations

10.

Prudencio, Mercedes, et al.. (2013). The Pathological Phenotypes of Human TDP-43 Transgenic Mouse Models Are Independent of Downregulation of Mouse Tdp-43. PLoS ONE. 8(7). e69864–e69864. 17 indexed citations

11.

Xie, Xiaoli, et al.. (2012). Protein sequence analysis based on hydropathy profile of amino acids. Journal of Zhejiang University SCIENCE B. 13(2). 152–158. 9 indexed citations

12.

Wang, Xiaotian, Fang Zhang, John I. Song, et al.. (2011). Methylation of microRNA-9 is a specific and sensitive biomarker for oral and oropharyngeal squamous cell carcinomas. Oral Oncology. 48(1). 73–78. 71 indexed citations

13.

Bowles, Daniel W., Stephen B. Keysar, Ryan T. Anderson, et al.. (2011). Abstract 652: PI3K inhibition combined with either cetuximab or docetaxel in a direct patient tumor model of HPV-positive and negative head and neck cancers. Cancer Research. 71(8_Supplement). 652–652. 4 indexed citations

14.

Rusthoven, Kyle E., Steven J. Feigenberg, David Raben, et al.. (2010). Initial Results of a Phase I Dose-Escalation Trial of Concurrent and Maintenance Erlotinib and Reirradiation for Recurrent and New Primary Head-and-Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 78(4). 1020–1025. 21 indexed citations

15.

Rusthoven, Kyle E., et al.. (2009). Survival and Patterns of Relapse in Patients With Oral Tongue Cancer. Journal of Oral and Maxillofacial Surgery. 68(3). 584–589. 51 indexed citations

16.

Ballonoff, Ari, David Raben, Kyle E. Rusthoven, et al.. (2008). Outcomes of Patients with N3 Neck Nodes Treated with Chemoradiation. The Laryngoscope. 118(6). 995–998. 26 indexed citations

17.

Song, John I., et al.. (2007). Promoter analysis of the mouse Peg3 gene. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1779(2). 134–8. 3 indexed citations

18.

Willey, Christopher D., Barbara A. Murphy, James L. Netterville, et al.. (2007). A Phase II Multi-institutional Trial of Chemoradiation Using Weekly Docetaxel and Erythropoietin for High-Risk Postoperative Head and Neck Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 67(5). 1323–1331. 5 indexed citations

19.

Song, John I. & Jennifer R. Grandis. (2000). STAT signaling in head and neck cancer. Oncogene. 19(21). 2489–2495. 328 indexed citations

20.

Song, John I.. (1996). Characterization and Mapping of cDNA Encoding Aspartate Aminotransferase in Rice, Oryza sativa L.. DNA Research. 3(5). 303–310. 10 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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