Willa Shi

748 total citations
7 papers, 563 citations indexed

About

Willa Shi is a scholar working on Otorhinolaryngology, Oncology and Surgery. According to data from OpenAlex, Willa Shi has authored 7 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Otorhinolaryngology, 3 papers in Oncology and 2 papers in Surgery. Recurrent topics in Willa Shi's work include Head and Neck Cancer Studies (4 papers), Cancer-related molecular mechanisms research (2 papers) and RNA modifications and cancer (1 paper). Willa Shi is often cited by papers focused on Head and Neck Cancer Studies (4 papers), Cancer-related molecular mechanisms research (2 papers) and RNA modifications and cancer (1 paper). Willa Shi collaborates with scholars based in Canada, United States and Austria. Willa Shi's co-authors include Fei‐Fei Liu, Brian O’Sullivan, Shao Hui Huang, John Waldron, Bayardo Perez‐Ordoñez, Ilan Weinreb, Jolie Ringash, John Kim, Andrew Hope and Jonathan C. Irish and has published in prestigious journals such as Cancer, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Willa Shi

7 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willa Shi Canada 7 238 237 200 150 138 7 563
Annette M. Lim Australia 14 259 1.1× 165 0.7× 194 1.0× 113 0.8× 97 0.7× 52 565
Sai‐Lan Liu China 15 314 1.3× 383 1.6× 241 1.2× 190 1.3× 200 1.4× 55 752
Ming‐Huang Hong China 15 240 1.0× 391 1.6× 117 0.6× 112 0.7× 319 2.3× 17 640
Kristie Lawhorn United States 6 294 1.2× 117 0.5× 147 0.7× 62 0.4× 72 0.5× 11 459
Hai‐Qiang Mai China 14 279 1.2× 293 1.2× 167 0.8× 109 0.7× 162 1.2× 36 628
C. van Herpen Netherlands 12 315 1.3× 375 1.6× 134 0.7× 95 0.6× 325 2.4× 28 669
Andy Karabajakian France 9 537 2.3× 163 0.7× 103 0.5× 84 0.6× 114 0.8× 19 684
Amy Meister United States 7 551 2.3× 206 0.9× 125 0.6× 62 0.4× 104 0.8× 9 674
Julianna Supplee United States 9 270 1.1× 82 0.3× 216 1.1× 485 3.2× 71 0.5× 13 708
F. Moffat United States 9 299 1.3× 95 0.4× 66 0.3× 87 0.6× 167 1.2× 14 482

Countries citing papers authored by Willa Shi

Since Specialization
Citations

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

Fields of papers citing papers by Willa Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willa Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Willa Shi. A scholar is included among the top collaborators of Willa Shi 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 Willa Shi. Willa Shi 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.
Principe, Simona, Salvador Mejia‐Guerrero, Vladimir Ignatchenko, et al.. (2018). Proteomic Analysis of Cancer-Associated Fibroblasts Reveals a Paracrine Role for MFAP5 in Human Oral Tongue Squamous Cell Carcinoma. Journal of Proteome Research. 17(6). 2045–2059. 73 indexed citations
2.
Hall, Stephen F., Fei‐Fei Liu, Brian O’Sullivan, et al.. (2017). Did the addition of concurrent chemotherapy to conventional radiotherapy improve survival for patients with HPV+ve and HPV−ve Oropharynx cancer? A population-based study. British Journal of Cancer. 117(8). 1105–1112. 7 indexed citations
3.
Huang, Shao Hui, John Waldron, Michael Milosevic, et al.. (2014). Prognostic value of pretreatment circulating neutrophils, monocytes, and lymphocytes in oropharyngeal cancer stratified by human papillomavirus status. Cancer. 121(4). 545–555. 135 indexed citations
4.
Sepiashvili, Lusia, Angela Bik‐Yu Hui, Vladimir Ignatchenko, et al.. (2012). Potentially Novel Candidate Biomarkers for Head and Neck Squamous Cell Carcinoma Identified Using an Integrated Cell Line-based Discovery Strategy. Molecular & Cellular Proteomics. 11(11). 1404–1415. 60 indexed citations
5.
Telenkov, Sergey A., et al.. (2012). Frequency domain photoacoustic correlation (radar) imaging: a novel methodology for non-invasive imaging of biological tissues. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8223. 82231J–82231J. 7 indexed citations
6.
Huang, Shao Hui, Bayardo Perez‐Ordoñez, Fei‐Fei Liu, et al.. (2010). Atypical Clinical Behavior of p16-Confirmed HPV-Related Oropharyngeal Squamous Cell Carcinoma Treated With Radical Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 82(1). 276–283. 166 indexed citations
7.
Bachtiary, Barbara, Paul C. Boutros, Melania Pintilie, et al.. (2006). Gene Expression Profiling in Cervical Cancer: An Exploration of Intratumor Heterogeneity. Clinical Cancer Research. 12(19). 5632–5640. 115 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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