Thinh Q. Pham
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Peptidase Inhibition and Analysis
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 5
- HER2/EGFR in Cancer Research 3
- Peptidase Inhibition and Analysis 1
- Cancer Cells and Metastasis 1
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Howard Marvin Stern (3 shared papers)Klaus P. Hoeflich (1 shared paper)Mark X. Sliwkowski (1 shared paper)Lisa Crocker (1 shared paper)Evelyn S. Yao (1 shared paper)Xander Munroe (1 shared paper)Si Tuen Lee-Hoeflich (1 shared paper)David A. Eberhard (3 shared papers)
- Journals
- The Journal of Pathology (1 paper)Journal of Clinical Oncology (1 paper)Cancer Research (1 paper)Molecular Cancer Research (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Thinh Q. Pham
10 papers receiving 1.4k citations
Thinh Q. Pham's Hit Papers
Peers
Comparison fields: 5 of 71
- Oncology 904
- Radiology, Nuclear Medicine and Imaging 360
- Cancer Research 178
- Reproductive Medicine 78
- Pulmonary and Respiratory Medicine 283
Countries citing papers authored by Thinh Q. Pham
This map shows the geographic impact of Thinh Q. 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 Thinh Q. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thinh Q. Pham more than expected).
Fields of papers citing papers by Thinh Q. Pham
This network shows the impact of papers produced by Thinh Q. 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 Thinh Q. Pham. The network helps show where Thinh Q. Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Thinh Q. 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 | A Central Role for HER3 in HER2 -Amplified Breast Cancer: Implications for Targeted Therapy Hit paper breakdown → | 2008 | 547 |
| 2 | 2005 | 445 | |
| 3 | 2006 | 207 | |
| 4 | 2009 | 86 | |
| 5 | 2009 | 61 | |
| 6 | 2011 | 47 | |
| 7 | 2017 | 27 | |
| 8 | 2001 | 25 | |
| 9 | 2006 | 14 | |
| 10 | 2007 | 6 |
About Thinh Q. Pham
Thinh Q. Pham is a scholar working on Oncology, Cancer Research, Immunology and Allergy, Hepatology and Molecular Biology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Peptidase Inhibition and Analysis (1 paper), Cell Adhesion Molecules Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (904 citations), Radiology, Nuclear Medicine and Imaging (360 citations), Cancer Research (178 citations), Reproductive Medicine (78 citations) and Pulmonary and Respiratory Medicine (283 citations). Thinh Q. Pham has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Howard Marvin Stern, Klaus P. Hoeflich, Mark X. Sliwkowski, Lisa Crocker, Evelyn S. Yao, Xander Munroe, Si Tuen Lee-Hoeflich, David A. Eberhard, Somasekar Seshagiri and Guy Cavet. Their work appears in journals such as The Journal of Pathology, Journal of Clinical Oncology, Cancer Research, Molecular Cancer Research and Cancer Discovery.
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.