Jarrard Goodwin

896 total citations · 1 hit paper
7 papers, 655 citations indexed

About

Jarrard Goodwin is a scholar working on Otorhinolaryngology, Oncology and Cancer Research. According to data from OpenAlex, Jarrard Goodwin has authored 7 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Otorhinolaryngology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Jarrard Goodwin's work include Head and Neck Cancer Studies (5 papers), Cancer-related Molecular Pathways (2 papers) and Virus-based gene therapy research (2 papers). Jarrard Goodwin is often cited by papers focused on Head and Neck Cancer Studies (5 papers), Cancer-related Molecular Pathways (2 papers) and Virus-based gene therapy research (2 papers). Jarrard Goodwin collaborates with scholars based in United States and Italy. Jarrard Goodwin's co-authors include William H. Westra, John A. Ridge, David Sidransky, Daniel E. Kenady, Joseph A. Califano, Arlene A. Forastiere, Maria Luana Poeta, Wayne M. Koch, John Saunders and Judith Manola and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Jarrard Goodwin

7 papers receiving 645 citations

Hit Papers

TP53Mutations and Survival in Squamous-Cell Carcinoma of ... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jarrard Goodwin United States 4 377 311 250 188 152 7 655
G. B. Snow Netherlands 12 338 0.9× 286 0.9× 302 1.2× 129 0.7× 112 0.7× 17 788
Alexandra D. Torres United States 6 212 0.6× 181 0.6× 211 0.8× 112 0.6× 84 0.6× 7 486
Nicholas D. Stafford United Kingdom 14 327 0.9× 174 0.6× 135 0.5× 137 0.7× 63 0.4× 31 617
Nicole Kawachi United States 14 223 0.6× 625 2.0× 323 1.3× 451 2.4× 77 0.5× 24 1.0k
Fedor Denkers Netherlands 17 302 0.8× 523 1.7× 353 1.4× 225 1.2× 48 0.3× 28 1.0k
Nikolaos Tertipis Sweden 16 273 0.7× 188 0.6× 437 1.7× 219 1.2× 55 0.4× 20 707
Cinzia Bersani Sweden 15 128 0.3× 279 0.9× 159 0.6× 128 0.7× 51 0.3× 22 494
Horst Schlechte Germany 13 207 0.5× 248 0.8× 62 0.2× 148 0.8× 173 1.1× 30 591
Jos B. Poell Netherlands 13 122 0.3× 188 0.6× 86 0.3× 185 1.0× 59 0.4× 26 458
Tieneke B.M. Schaaij‐Visser Netherlands 10 131 0.3× 239 0.8× 110 0.4× 113 0.6× 46 0.3× 12 480

Countries citing papers authored by Jarrard Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Jarrard Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jarrard Goodwin. 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 Jarrard Goodwin. The network helps show where Jarrard Goodwin may publish in the future.

Co-authorship network of co-authors of Jarrard Goodwin

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

All Works

7 of 7 papers shown
1.
Reategui, Erika P., et al.. (2015). Abstract LB-272: Effect of smoking cessation on soluble CD44 levels in head and neck cancer. Cancer Research. 75(15_Supplement). LB–272. 1 indexed citations
2.
Kurisetty, Vittal, Rae Myers, Jarrard Goodwin, et al.. (2013). Preclinical safety and activity of recombinant VSV‐IFN‐β in an immunocompetent model of squamous cell carcinoma of the head and neck. Head & Neck. 36(11). 1619–1627. 21 indexed citations
3.
Perez, Aymee, David M. Neskey, Judy Wen, et al.. (2012). Abstract 2521: Targeting CD44 in head and neck squamous cell carcinoma (HNSCC) with a new humanized antibody RO5429083. Cancer Research. 72(8_Supplement). 2521–2521. 12 indexed citations
4.
Poeta, Maria Luana, Judith Manola, David Goldenberg, et al.. (2009). The Ligamp TP53 Assay for Detection of Minimal Residual Disease in Head and Neck Squamous Cell Carcinoma Surgical Margins. Clinical Cancer Research. 15(24). 7658–7665. 27 indexed citations
5.
Sobol, Robert W., John Nemunaitis, Gary L. Clayman, et al.. (2008). Tumor p53 biomarkers personalize selection of adenoviral p53 gene therapy or methotrexate as potentially efficacious treatments in different and complementary groups of recurrent squamous cell carcinoma of the head and neck (SCCHN). 14. 1 indexed citations
6.
Poeta, Maria Luana, Judith Manola, Meredith A. Goldwasser, et al.. (2007). TP53Mutations and Survival in Squamous-Cell Carcinoma of the Head and Neck. New England Journal of Medicine. 357(25). 2552–2561. 591 indexed citations breakdown →
7.
Goldwasser, Meredith A., Arlene A. Forastiere, Nicole Benoit, et al.. (2006). Prognostic implication of p53 mutations in HNSCC: Results of Intragroup margin study (E4393). Journal of Clinical Oncology. 24(18_suppl). 5504–5504. 2 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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