Lee‐Hwa Tai

2.3k total citations
48 papers, 1.7k citations indexed

About

Lee‐Hwa Tai is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Lee‐Hwa Tai has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 20 papers in Oncology and 12 papers in Genetics. Recurrent topics in Lee‐Hwa Tai's work include Immune Cell Function and Interaction (20 papers), Virus-based gene therapy research (12 papers) and Cancer, Stress, Anesthesia, and Immune Response (11 papers). Lee‐Hwa Tai is often cited by papers focused on Immune Cell Function and Interaction (20 papers), Virus-based gene therapy research (12 papers) and Cancer, Stress, Anesthesia, and Immune Response (11 papers). Lee‐Hwa Tai collaborates with scholars based in Canada, Saudi Arabia and China. Lee‐Hwa Tai's co-authors include Andrew P. Makrigiannis, Rebecca C. Auer, John C. Bell, Christine Lawson, Christiano Tanese de Souza, Simon Bélanger, Samuel G. Rouleau, Almohanad A. Alkayyal, Jiqing Zhang and Caroline J. Breitbach and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Lee‐Hwa Tai

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee‐Hwa Tai Canada 20 932 658 361 277 226 48 1.7k
Christiano Tanese de Souza Canada 14 409 0.4× 475 0.7× 344 1.0× 244 0.9× 213 0.9× 28 1.1k
Andrew P. Makrigiannis Canada 30 2.1k 2.2× 524 0.8× 454 1.3× 214 0.8× 102 0.5× 79 2.7k
Tomasz Ahrends United States 11 1.3k 1.4× 1.1k 1.6× 585 1.6× 101 0.4× 56 0.2× 15 2.1k
Tonya J. Webb United States 21 906 1.0× 518 0.8× 490 1.4× 240 0.9× 28 0.1× 65 1.7k
Varada P. Rao United States 19 1.2k 1.2× 618 0.9× 537 1.5× 216 0.8× 25 0.1× 20 1.9k
Qingsheng Li United States 16 2.2k 2.3× 948 1.4× 527 1.5× 118 0.4× 40 0.2× 29 2.7k
Soyoung Oh United States 17 1.5k 1.6× 759 1.2× 574 1.6× 159 0.6× 24 0.1× 20 2.2k
Tomohide Yamazaki United States 16 2.7k 2.9× 1.6k 2.5× 399 1.1× 368 1.3× 40 0.2× 20 3.5k
Mar Cabeza-Cabrerizo United Kingdom 8 1.7k 1.9× 921 1.4× 522 1.4× 65 0.2× 36 0.2× 9 2.3k
Alice E. Denton United Kingdom 18 1.0k 1.1× 662 1.0× 566 1.6× 75 0.3× 29 0.1× 28 1.8k

Countries citing papers authored by Lee‐Hwa Tai

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Hwa Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee‐Hwa Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Hwa Tai. A scholar is included among the top collaborators of Lee‐Hwa 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 Lee‐Hwa Tai. Lee‐Hwa 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.
Diallo, Abou, et al.. (2025). Toll-like receptor 4 inhibition sensitizes non-small cell lung cancer to radiotherapy. Cancer Biology & Therapy. 26(1). 2590881–2590881.
2.
3.
Marchand, Benoît, et al.. (2023). Gemcitabine promotes autophagy and lysosomal function through ERK- and TFEB-dependent mechanisms. Cell Death Discovery. 9(1). 45–45. 12 indexed citations
4.
Tai, Lee‐Hwa, et al.. (2023). Gaining insights into virotherapy with canine models. Molecular Therapy — Oncolytics. 31. 100754–100754. 2 indexed citations
5.
Lawson, Christine, et al.. (2023). Heterologous prime-boost cellular vaccination induces potent antitumor immunity against triple negative breast cancer. Frontiers in Immunology. 14. 1098344–1098344. 9 indexed citations
6.
Boudreau, Jeanette E., et al.. (2023). Perioperative oncolytic virotherapy to counteract surgery-induced immunosuppression and improve outcomes in pancreatic ductal adenocarcinoma. Frontiers in Oncology. 13. 1071751–1071751. 4 indexed citations
7.
Tai, Lee‐Hwa, et al.. (2023). Acute Nk Cells Response To Different Aerobic Exercise Modalities In Metastatic Cancer Patients Undergoing Chemotherapy. Medicine & Science in Sports & Exercise. 55(9S). 479–479. 1 indexed citations
8.
Lamarche, Daphnée, Marie-Hélène Masse, Cécilia Légaré, et al.. (2022). Time-course full profiling of circulating miRNAs in neurologically deceased organ donors: a proof of concept study to understand the onset of the cytokine storm. Epigenetics. 17(11). 1546–1561.
9.
Angka, Leonard, Christiano Tanese de Souza, S. Khan, et al.. (2022). Perioperative arginine prevents metastases by accelerating natural killer cell recovery after surgery. Molecular Therapy. 30(10). 3270–3283. 11 indexed citations
10.
Alkayyal, Almohanad A., Lee‐Hwa Tai, Michael A. Kennedy, et al.. (2017). NK-Cell Recruitment Is Necessary for Eradication of Peritoneal Carcinomatosis with an IL12-Expressing Maraba Virus Cellular Vaccine. Cancer Immunology Research. 5(3). 211–221. 59 indexed citations
11.
Ananth, Abhirami A., Lee‐Hwa Tai, Almohanad A. Alkayyal, et al.. (2016). Surgical Stress Abrogates Pre-Existing Protective T Cell Mediated Anti-Tumor Immunity Leading to Postoperative Cancer Recurrence. PLoS ONE. 11(5). e0155947–e0155947. 61 indexed citations
12.
Tai, Lee‐Hwa & Rebecca C. Auer. (2014). Attacking Postoperative Metastases using Perioperative Oncolytic Viruses and Viral Vaccines. Frontiers in Oncology. 4. 217–217. 12 indexed citations
13.
Tai, Lee‐Hwa, Jiqing Zhang, Karen J. Scott, et al.. (2013). Perioperative Influenza Vaccination Reduces Postoperative Metastatic Disease by Reversing Surgery-Induced Dysfunction in Natural Killer Cells. Clinical Cancer Research. 19(18). 5104–5115. 56 indexed citations
14.
Tai, Lee‐Hwa, Jiqing Zhang, & Rebecca C. Auer. (2013). Preventing surgery-induced NK cell dysfunction and cancer metastases with influenza vaccination. OncoImmunology. 2(11). e26618–e26618. 23 indexed citations
15.
Tai, Lee‐Hwa, Christiano Tanese de Souza, Andrew P. Makrigiannis, & Rebecca C. Auer. (2013). Ex vivo Natural Killer Cell Cytotoxicity Assay. BIO-PROTOCOL. 3(16). 2 indexed citations
16.
Tai, Lee‐Hwa, Christiano Tanese de Souza, Simon Bélanger, et al.. (2012). Preventing Postoperative Metastatic Disease by Inhibiting Surgery-Induced Dysfunction in Natural Killer Cells. Cancer Research. 73(1). 97–107. 187 indexed citations
17.
Bélanger, Simon, Megan M. Tu, Mir Munir A. Rahim, et al.. (2012). Impaired natural killer cell self-education and “missing-self” responses in Ly49-deficient mice. Blood. 120(3). 592–602. 56 indexed citations
18.
Tai, Lee‐Hwa, Marie-Line Goulet, Simon Bélanger, et al.. (2008). Positive regulation of plasmacytoid dendritic cell function via Ly49Q recognition of class I MHC. The Journal of Experimental Medicine. 205(13). 3187–3199. 49 indexed citations
19.
Carlyle, James R., Aruz Mesci, Jason H. Fine, et al.. (2008). Evolution of the Ly49 and Nkrp1 recognition systems. Seminars in Immunology. 20(6). 321–330. 86 indexed citations
20.
Carlyle, James R., Aruz Mesci, Belma Ljutic, et al.. (2006). Molecular and Genetic Basis for Strain-Dependent NK1.1 Alloreactivity of Mouse NK Cells. The Journal of Immunology. 176(12). 7511–7524. 105 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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