Amber Pham
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 1
- Oncology 3
- CAR-T cell therapy research 2
- Co-authors
- Arvind Rajpal (3 shared papers)Pavel Strop (3 shared papers)Kevin C. Lindquist (4 shared papers)Yik A. Yeung (4 shared papers)Javier Chaparro‐Riggers (4 shared papers)Jaume Pons (2 shared papers)Yasmina Abdiche (2 shared papers)Sherman M. Chin (2 shared papers)
- Journals
- mAbs (2 papers)Molecular Cancer Therapeutics (1 paper)Molecular Therapy (1 paper)Journal of Immigrant and Minority Health (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Amber Pham
12 papers receiving 444 citations
Peers
Comparison fields: 5 of 96
- Physiology 38
- Radiology, Nuclear Medicine and Imaging 161
- Immunology 115
- Infectious Diseases 72
- Applied Psychology 15
Countries citing papers authored by Amber Pham
This map shows the geographic impact of Amber 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 Amber Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Pham more than expected).
Fields of papers citing papers by Amber Pham
This network shows the impact of papers produced by Amber 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 Amber Pham. The network helps show where Amber Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Amber 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 154 | |
| 2 | 2013 | 81 | |
| 3 | 2020 | 48 | |
| 4 | 2019 | 38 | |
| 5 | 2018 | 37 | |
| 6 | 2021 | 36 | |
| 7 | 2016 | 30 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2023 | 1 | |
| 12 | Independent Verification and Validation of Washington State Ferries' Wireless High Speed Data Project | 2008 | 1 |
| 13 | 2019 | 1 |
About Amber Pham
Amber Pham is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 13 papers that have together received 464 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Adenosine and Purinergic Signaling (2 papers), CAR-T cell therapy research (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Smoking Behavior and Cessation (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Physiology (38 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Immunology (115 citations), Infectious Diseases (72 citations) and Applied Psychology (15 citations). Amber Pham has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Arvind Rajpal, Pavel Strop, Kevin C. Lindquist, Yik A. Yeung, Javier Chaparro‐Riggers, Jaume Pons, Yasmina Abdiche, Sherman M. Chin, Gary L. Bolton and Stephen W. Young. Their work appears in journals such as mAbs, Molecular Cancer Therapeutics, Molecular Therapy, Journal of Immigrant and Minority Health and Nature Communications.
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.