Tiep Le
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Cancer Research top 2%
- NF-κB Signaling Pathways
Papers in
-
- Cell death mechanisms and regulation 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- Oncology 6
- CAR-T cell therapy research 3
- Co-authors
- Brian Gliniak (4 shared papers)Jon Jones (2 shared papers)David H. Lynch (2 shared papers)Robert E. Miller (2 shared papers)JoAnn C. L. Schuh (2 shared papers)Thomas S. Griffith (1 shared paper)K. Ariail (1 shared paper)Henning Walczak (1 shared paper)
- Journals
- Cancer Research (2 papers)Molecular Pharmaceutics (1 paper)Clinical Cancer Research (1 paper)Nature Medicine (1 paper)Cytokine (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Tiep Le
14 papers receiving 2.9k citations
Tiep Le's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 1.0k
- Cancer Research 643
- Molecular Biology 2.1k
- Oncology 722
- Biotechnology 176
Countries citing papers authored by Tiep Le
This map shows the geographic impact of Tiep Le'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 Tiep Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiep Le more than expected).
Fields of papers citing papers by Tiep Le
This network shows the impact of papers produced by Tiep Le. 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 Tiep Le. The network helps show where Tiep Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiep Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Tumoricidal activity of tumor necrosis factor–related apoptosis–inducing ligand in vivo Hit paper breakdown → | 1999 | 2160 |
| 2 | Tumor necrosis factor-related apoptosis-inducing ligand's antitumor activity in vivo is enhanced by the chemotherapeutic agent CPT-11. | 1999 | 223 |
| 3 | 2002 | 147 | |
| 4 | 2002 | 111 | |
| 5 | 2017 | 83 | |
| 6 | 2002 | 60 | |
| 7 | 1996 | 42 | |
| 8 | 2016 | 33 | |
| 9 | 2007 | 32 | |
| 10 | 2015 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 2015 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 1 |
About Tiep Le
Tiep Le is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Genetics, having authored 15 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Virus-based gene therapy research (4 papers), Herpesvirus Infections and Treatments (3 papers), CAR-T cell therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (643 citations), Molecular Biology (2.1k citations), Oncology (722 citations) and Biotechnology (176 citations). Tiep Le has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Brian Gliniak, Jon Jones, David H. Lynch, Robert E. Miller, JoAnn C. L. Schuh, Thomas S. Griffith, K. Ariail, Henning Walczak, Charles T. Rauch and Raymond G. Goodwin. Their work appears in journals such as Cancer Research, Molecular Pharmaceutics, Clinical Cancer Research, Nature Medicine and Cytokine.
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.