T. Khanh
Impact in
- Oncology top 2%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
Papers in
- Oncology 33
- PARP inhibition in cancer therapy 11
- Cancer-related Molecular Pathways 7
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Shivaani KummarJames H. DoroshowSally A. AmundsonAlbert J. FornaceAlice P. ChenPaul S. MeltzerMichael BittnerJeffrey M. Trent
- Journals
- Cancer Research (9 papers)Clinical Cancer Research (8 papers)Journal of Clinical Oncology (5 papers)Investigational New Drugs (4 papers)Annals of Oncology (4 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
T. Khanh
54 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 104
- Oncology 991
- Cancer Research 473
- Molecular Biology 1.6k
- Radiology, Nuclear Medicine and Imaging 422
- Pulmonary and Respiratory Medicine 462
Countries citing papers authored by T. Khanh
This map shows the geographic impact of T. Khanh'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 T. Khanh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Khanh more than expected).
Fields of papers citing papers by T. Khanh
This network shows the impact of papers produced by T. Khanh. 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 T. Khanh. The network helps show where T. Khanh may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Khanh, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 71 | |
| 7 | 2021 | 37 | |
| 8 | 2021 | 56 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 83 | |
| 12 | 2019 | 71 | |
| 13 | 2019 | 103 | |
| 14 | 2017 | 28 | |
| 15 | 2017 | 136 | |
| 16 | 2017 | 2 | |
| 17 | 2016 | 6 | |
| 18 | 2015 | 255 | |
| 19 | 2012 | 2 | |
| 20 | 2008 | 207 |
About T. Khanh
T. Khanh is a scholar working on Oncology, Cancer Research, Biotechnology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), PARP inhibition in cancer therapy (11 papers), Cancer Genomics and Diagnostics (8 papers), Cancer-related Molecular Pathways (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Advanced Breast Cancer Therapies (5 papers), Cancer Research and Treatments (5 papers) and Effects of Radiation Exposure (4 papers). The work is most often cited by research in Oncology (991 citations), Cancer Research (473 citations), Molecular Biology (1.6k citations), Radiology, Nuclear Medicine and Imaging (422 citations) and Pulmonary and Respiratory Medicine (462 citations). T. Khanh has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Shivaani Kummar, James H. Doroshow, Sally A. Amundson, Albert J. Fornace, Alice P. Chen, Paul S. Meltzer, Michael Bittner, Jeffrey M. Trent, Geoffrey I. Shapiro and Robert J. Kinders. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Journal of Clinical Oncology, Investigational New Drugs and Annals of Oncology.
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.