Tony Li

2.1k citations
64 papers · 1.1k indexed · 1 hit paper · h-index 17

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Tony Li

52 papers receiving 1.1k citations

Hit Papers

Intratumoral CD4+ T Cells Mediate Anti-tumor Cytotoxicity in Human Bladder Cancer 2020 · 464 citations
4642020202620222024100200300400

Peers

Tony Li
Comparison fields: 5 of 123
  • Immunology 318
  • Oncology 375
  • Infectious Diseases 128
  • Cancer Research 64
  • Public Health, Environmental and Occupational Health 116
Replace Sanjay S. Patel with:
Sanjay S. Patel United States
Lina Gao United States
Patricia Guevara‐Ramírez Ecuador
Yashwant Kumar India
Guoqing Wei China
Pakawat Chongsathidkiet United States
Miao Cui China
Chiara Martinoli Italy
Scott A. Koepsell United States
Gerardo Cazzato Italy
Tony Li relative to Sanjay S. Patel United States Sanjay S. Patel's profile →
Citations per field
00.5×1.6×
Sanjay S. Patel · 1×
Citations per year

Countries citing papers authored by Tony Li

Since Specialization
Citations

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

Fields of papers citing papers by Tony Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tony Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tony Li Line = papers co-authored together Tony Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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12 20223
13 20217
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15 202034
16 20190
17 20180
18
The CO Mapping Array Pathfinder (COMAP)
20167
19 201613
20 201235

About Tony Li

Tony Li is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Oncology, Computer Networks and Communications and Infectious Diseases, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Viral Infections and Vectors (4 papers), Advanced Optical Network Technologies (4 papers), Immune cells in cancer (4 papers), Virology and Viral Diseases (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Mobile Agent-Based Network Management (3 papers). The work is most often cited by research in Immunology (318 citations), Oncology (375 citations), Infectious Diseases (128 citations), Cancer Research (64 citations) and Public Health, Environmental and Occupational Health (116 citations). Tony Li has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Lawrence Fong, Kathryn M. Allaire, Chun Ye, Elizabeth McCarthy, Arielle Ilano, Yang Sun, Sima P. Porten, Chiara Rancan, Eric D. Chow and Siddharth S. Raju. Their work appears in journals such as Scientific Reports, Bioorganic & Medicinal Chemistry Letters, Journal of Cardiovascular Development and Disease, Optics Express and Journal of Hypertension.

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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