Wei Tse Li

1.7k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Wei Tse Li is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Wei Tse Li has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Cancer Research and 8 papers in Infectious Diseases. Recurrent topics in Wei Tse Li's work include Cancer-related molecular mechanisms research (11 papers), Gut microbiota and health (11 papers) and COVID-19 Clinical Research Studies (8 papers). Wei Tse Li is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Gut microbiota and health (11 papers) and COVID-19 Clinical Research Studies (8 papers). Wei Tse Li collaborates with scholars based in United States, Hong Kong and Spain. Wei Tse Li's co-authors include Weg M. Ongkeko, Eric Y. Chang, Shruti Magesh, Daniel John, Yuxiang Li, Sharad Jain, Jaideep Chakladar, Mahadevan Rajasekaran, Aditi Gnanasekar and Jessica Wang‐Rodriguez and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Wei Tse Li

35 papers receiving 1.1k citations

Hit Papers

Disparities in COVID-19 Outcomes by Race, Ethnicity, and ... 2021 2026 2022 2024 2021 100 200 300 400

Peers

Wei Tse Li
Anna Radziszewska United Kingdom
Luba Dumenco United States
Maria I. Danila United States
Asim Kichloo United States
Kamal Kant Sahu United States
Wei Tse Li
Citations per year, relative to Wei Tse Li Wei Tse Li (= 1×) peers Fangqiang Wei

Countries citing papers authored by Wei Tse Li

Since Specialization
Citations

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

Fields of papers citing papers by Wei Tse Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Tse Li. 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 Wei Tse Li. The network helps show where Wei Tse Li may publish in the future.

Co-authorship network of co-authors of Wei Tse Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Tse Li. A scholar is included among the top collaborators of Wei Tse Li 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 Wei Tse Li. Wei Tse Li 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.
Magesh, Shruti, Daniel John, Jaideep Chakladar, et al.. (2024). The intratumor microbiome varies by geographical location and anatomical site in head and neck squamous cell carcinoma. Current Problems in Cancer. 50. 101100–101100. 3 indexed citations
2.
Chen, Tianyi, et al.. (2024). Urinary Microbiome Dysbiosis and Immune Dysregulations as Potential Diagnostic Indicators of Bladder Cancer. Cancers. 16(2). 394–394. 5 indexed citations
3.
Magesh, Shruti, et al.. (2024). Computational Analysis Suggests That AsnGTT 3′-tRNA-Derived Fragments Are Potential Biomarkers in Papillary Thyroid Carcinoma. International Journal of Molecular Sciences. 25(19). 10631–10631. 1 indexed citations
4.
Li, Wei Tse, et al.. (2024). Melanoma tumor microbiome as a predictor of anti-PD-1 and anti-CTLA-4 immunotherapy response.. Journal of Clinical Oncology. 42(16_suppl). e14666–e14666. 1 indexed citations
5.
Magesh, Shruti, et al.. (2023). Characterization of tRNA-Derived Fragments in Lung Squamous Cell Carcinoma with Respect to Tobacco Smoke. International Journal of Molecular Sciences. 24(6). 5501–5501. 3 indexed citations
6.
7.
Hogarth, Michael, Yuxiang Li, Jessica Wang‐Rodriguez, et al.. (2023). Clinical characteristics and comorbidities associated with SARS-CoV-2 breakthrough infection in the University of California Healthcare Systems. The American Journal of the Medical Sciences. 366(2). 102–113.
8.
Chakladar, Jaideep, Wei Tse Li, Joseph C. Tsai, et al.. (2022). Medical student’s perception of the COVID-19 pandemic effect on their education and well-being: a cross-sectional survey in the United States. BMC Medical Education. 22(1). 149–149. 28 indexed citations
9.
Li, Wei Tse, Aswini R. Krishnan, Jay Patrick Lopez, et al.. (2022). The renal clear cell carcinoma immune landscape. Neoplasia. 24(2). 145–154. 9 indexed citations
10.
Masso-Silva, Jorge A., Alexander Moshensky, John H. Shin, et al.. (2021). Chronic E-Cigarette Aerosol Inhalation Alters the Immune State of the Lungs and Increases ACE2 Expression, Raising Concern for Altered Response and Susceptibility to SARS-CoV-2. Frontiers in Physiology. 12. 649604–649604. 24 indexed citations
11.
Li, Wei Tse, Jiayan Ma, Pam R. Taub, et al.. (2021). Cardiovascular, cerebrovascular, and renal co-morbidities in COVID-19 patients: A systematic-review and meta-analysis. Computational and Structural Biotechnology Journal. 19. 3755–3764. 11 indexed citations
12.
Wong, Lindsay M., Wei Tse Li, Joseph C. Tsai, et al.. (2021). Analysis of the immune landscape in virus-induced cancers using a novel integrative mechanism discovery approach. Computational and Structural Biotechnology Journal. 19. 6240–6254. 3 indexed citations
13.
Gnanasekar, Aditi, Shruti Magesh, Jaideep Chakladar, et al.. (2021). The intratumor microbiome predicts prognosis across gender and subtypes in papillary thyroid carcinoma. Computational and Structural Biotechnology Journal. 19. 1986–1997. 38 indexed citations
14.
Magesh, Shruti, Daniel John, Wei Tse Li, et al.. (2021). Disparities in COVID-19 Outcomes by Race, Ethnicity, and Socioeconomic Status. JAMA Network Open. 4(11). e2134147–e2134147. 427 indexed citations breakdown →
15.
Xu, Jingyue, Wei Tse Li, Jeffrey Liu, et al.. (2021). Enhancer RNA Profiling in Smoking and HPV Associated HNSCC Reveals Associations to Key Oncogenes. International Journal of Molecular Sciences. 22(22). 12546–12546. 1 indexed citations
16.
Li, Wei Tse, Jiayan Ma, Jaideep Chakladar, et al.. (2020). Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making. 20(1). 247–247. 122 indexed citations
17.
Chakladar, Jaideep, Wei Tse Li, Cheng‐Yu Chen, et al.. (2020). Tobacco, but Not Nicotine and Flavor-Less Electronic Cigarettes, Induces ACE2 and Immune Dysregulation. International Journal of Molecular Sciences. 21(15). 5513–5513. 42 indexed citations
18.
Chakladar, Jaideep, Wei Tse Li, Michael Bouvet, et al.. (2019). Papillary Thyroid Carcinoma Variants are Characterized by Co-dysregulation of Immune and Cancer Associated Genes. Cancers. 11(8). 1179–1179. 14 indexed citations
19.
Kuo, Selena Z., Wei Tse Li, Elizabeth Kim, et al.. (2019). Metformin Results in Diametrically Opposed Effects by Targeting Non-Stem Cancer Cells but Protecting Cancer Stem Cells in Head and Neck Squamous Cell Carcinoma. International Journal of Molecular Sciences. 20(1). 193–193. 14 indexed citations
20.
Zheng, Hao, Avinaash Korrapati, Wei Tse Li, et al.. (2017). Alcohol and hepatitis virus-dysregulated lncRNAs as potential biomarkers for hepatocellular carcinoma. Oncotarget. 9(1). 224–235. 12 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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