Duy Pham
Impact in
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- CAR-T cell therapy research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 14
- Oncology 13
- CAR-T cell therapy research 13
- Co-authors
- Laura F. Grice (2 shared papers)Sohye Yoon (2 shared papers)Arti M. Raghubar (2 shared papers)Xiao Tan (2 shared papers)Pui Yeng Lam (2 shared papers)Quan Nguyen (3 shared papers)Marc J. Ruitenberg (1 shared paper)Jana Vukovic (1 shared paper)
- Journals
- Journal of Clinical Oncology (9 papers)Blood (3 papers)mAbs (2 papers)Nature Communications (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Duy Pham
22 papers receiving 429 citations
Duy Pham's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 179
- Radiology, Nuclear Medicine and Imaging 136
- Hematology 58
- Immunology 106
- Biophysics 26
Countries citing papers authored by Duy Pham
This map shows the geographic impact of Duy Pham'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 Duy Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duy Pham more than expected).
Fields of papers citing papers by Duy Pham
This network shows the impact of papers produced by Duy Pham. 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 Duy Pham. The network helps show where Duy Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Duy Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues Hit paper breakdown → | 2023 | 177 |
| 2 | 2019 | 82 | |
| 3 | 2016 | 39 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2019 | 15 | |
| 9 | Technique for Selecting Examples in Inductive Learning | 2000 | 7 |
| 10 | 2021 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2025 | 1 |
About Duy Pham
Duy Pham is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Immunology and Hematology, having authored 22 papers that have together received 441 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), CAR-T cell therapy research (13 papers), Biosimilars and Bioanalytical Methods (5 papers), Glycosylation and Glycoproteins Research (4 papers), Single-cell and spatial transcriptomics (3 papers), Multiple Myeloma Research and Treatments (3 papers), Gene expression and cancer classification (2 papers) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Oncology (179 citations), Radiology, Nuclear Medicine and Imaging (136 citations), Hematology (58 citations), Immunology (106 citations) and Biophysics (26 citations). Duy Pham has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Laura F. Grice, Sohye Yoon, Arti M. Raghubar, Xiao Tan, Pui Yeng Lam, Quan Nguyen, Marc J. Ruitenberg, Jana Vukovic, Brad Balderson and Emily F. Willis. Their work appears in journals such as Journal of Clinical Oncology, Blood, mAbs, Nature Communications and Scientific Reports.
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.