Patricia Tai

2.0k total citations
80 papers, 1.5k citations indexed

About

Patricia Tai is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Patricia Tai has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 27 papers in Pulmonary and Respiratory Medicine and 20 papers in Cancer Research. Recurrent topics in Patricia Tai's work include Breast Cancer Treatment Studies (18 papers), Polyomavirus and related diseases (13 papers) and Global Cancer Incidence and Screening (12 papers). Patricia Tai is often cited by papers focused on Breast Cancer Treatment Studies (18 papers), Polyomavirus and related diseases (13 papers) and Global Cancer Incidence and Screening (12 papers). Patricia Tai collaborates with scholars based in Canada, United States and Switzerland. Patricia Tai's co-authors include Edward Yu, Georges Vlastos, Vincent Vinh‐Hung, Gábor Cserni, Melanie Royce, Kurian Joseph, Larry Stitt, Wendy A. Woodward, Jon Tonita and Guy Storme and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Patricia Tai

74 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia Tai Canada 20 664 466 426 340 297 80 1.5k
Laura A. Vallow United States 18 509 0.8× 359 0.8× 231 0.5× 141 0.4× 192 0.6× 86 1.1k
Heriberto Medina‐Franco Mexico 19 663 1.0× 377 0.8× 450 1.1× 749 2.2× 357 1.2× 113 1.8k
Cees Verhoef Netherlands 13 561 0.8× 109 0.2× 433 1.0× 459 1.4× 87 0.3× 15 1.2k
Somnath Mukherjee United Kingdom 22 1.3k 1.9× 409 0.9× 849 2.0× 675 2.0× 36 0.1× 90 2.0k
Sung Ho Moon South Korea 24 637 1.0× 208 0.4× 889 2.1× 668 2.0× 55 0.2× 124 2.0k
Arya Amini United States 25 694 1.0× 153 0.3× 1.0k 2.4× 570 1.7× 93 0.3× 156 1.9k
Mario Ciocca Italy 23 242 0.4× 495 1.1× 1.0k 2.4× 240 0.7× 241 0.8× 106 1.9k
Cristina Gutiérrez Spain 20 243 0.4× 445 1.0× 313 0.7× 360 1.1× 439 1.5× 83 1.4k
Patricia S. Fox United States 27 525 0.8× 197 0.4× 587 1.4× 188 0.6× 291 1.0× 62 1.9k
N. Fournier‐Bidoz France 23 180 0.3× 555 1.2× 413 1.0× 238 0.7× 215 0.7× 43 1.1k

Countries citing papers authored by Patricia Tai

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Tai. A scholar is included among the top collaborators of Patricia Tai 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 Patricia Tai. Patricia Tai 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.
Al‐Ghabeesh, Suhair Hussni, et al.. (2025). A Narrative Review of the Roles of Nursing in Addressing Sexual Dysfunction in Oncology Patients. Current Oncology. 32(8). 457–457.
2.
Subih, Maha, et al.. (2025). Oncology Nurses’ Attitudes, Knowledge, and Practices in Providing Sexuality Care to Cancer Patients: A Scoping Review. Current Oncology. 32(6). 337–337. 1 indexed citations
3.
Tai, Patricia, et al.. (2025). Merkel Cell Carcinoma of the Skin: Deducing the Pattern of Spread from an International Aggregated Database of 949 Patients. Current Oncology. 32(4). 211–211. 1 indexed citations
4.
Tai, Patricia, et al.. (2025). Immune Checkpoint Inhibitors in Merkel Cell Carcinoma of the Skin: A 2025 Comprehensive Review. Cancers. 17(19). 3272–3272.
5.
6.
Tai, Patricia & Joseph S. K. Au. (2018). Skin cancer management—updates on Merkel cell carcinoma. Annals of Translational Medicine. 6(14). 282–282. 10 indexed citations
7.
8.
Yu, Edward, Patricia Tai, Richard Malthaner, et al.. (2010). What Are the Factors that Predict Outcome at Relapse after Previous Esophagectomy and Adjuvant Therapy in High-Risk Esophageal Cancer?. Current Oncology. 17(6). 46–51. 7 indexed citations
9.
Vinh‐Hung, Vincent, Pauline T. Truong, Wolfgang Janni, et al.. (2009). The Effect of Adjuvant Radiotherapy on Mortality Differs According to Primary Tumor Location in Women with Node-Positive Breast Cancer. Strahlentherapie und Onkologie. 185(3). 161–168. 12 indexed citations
10.
Tozer, Richard, et al.. (2007). Cysteine-Rich Protein Reverses Weight Loss in Lung Cancer Patients Receiving Chemotherapy or Radiotherapy. Antioxidants and Redox Signaling. 10(2). 395–402. 44 indexed citations
11.
Tai, Patricia, et al.. (2007). Nodal Ratios in Node-Positive Breast Cancer—Long-Term Study to Clarify Discrepancy of Role of Supraclavicular and Axillary Regional Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 68(3). 662–666. 19 indexed citations
12.
Tai, Patricia, et al.. (2006). Syndrome of inappropriate antidiuretic hormone secretion (SIADH) in patients with limited stage small cell lung cancer. Lung Cancer. 53(2). 211–215. 26 indexed citations
13.
Tai, Patricia, Gábor Cserni, Jan Van de Steene, et al.. (2005). Modeling the effect of age in T1-2 breast cancer using the SEER database. BMC Cancer. 5(1). 130–130. 36 indexed citations
14.
Tai, Patricia, et al.. (2005). Short- and long-term cause-specific survival of patients with inflammatory breast cancer. BMC Cancer. 5(1). 137–137. 14 indexed citations
15.
Verschraegen, Claire F., Vincent Vinh‐Hung, Gábor Cserni, et al.. (2005). Modeling the Effect of Tumor Size in Early Breast Cancer. Annals of Surgery. 241(2). 309–318. 57 indexed citations
16.
Tai, Patricia & Evan Y. Yu. (2004). Lung Cancer Trends. Part 1: North America. Current Oncology. 11(4). 127–138.
17.
Vinh‐Hung, Vincent, Claire F. Verschraegen, Gábor Cserni, et al.. (2004). Ratios of involved nodes in early breast cancer. Breast Cancer Research. 6(6). R680–8. 142 indexed citations
18.
Tai, Patricia, Edward Yu, David Skarsgard, & Jon Tonita. (2003). Validation of the Lognormal Model for Prediction of Long-term Survival Rates from Short-term Follow up Data in Stages III and IV Breast Cancer. Current Oncology. 10(3). 191–194. 2 indexed citations
19.
Tai, Patricia, Jon Tonita, Edward Yu, & David Skarsgard. (2003). Twenty-year follow-up study of long-term survival of limited-stage small-cell lung cancer and overview of prognostic and treatment factors. International Journal of Radiation Oncology*Biology*Physics. 56(3). 626–633. 31 indexed citations
20.
Tai, Patricia. (1973). An investigation of clinical applications of mesomorphic cholesteric liquid crystals in podiatric medicine. A preliminary study. Journal of the American Podiatric Medical Association. 63(4). 119–128. 1 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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