Rafael G. Amado
- Oncology top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Hepatology top 0.5%
- Molecular Biology top 10%
- Co-authors
- Marc PeetersEric Van CutsemSalvatore SienaMichael WolfDaniel J. FreemanRobert RadinskyTodd JuanScott D. Patterson
- Topics
- Colorectal Cancer Treatments and Studies (22 papers)CAR-T cell therapy research (15 papers)Immunotherapy and Immune Responses (12 papers)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Rafael G. Amado
57 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Oncology 5.0k
- Pulmonary and Respiratory Medicine 2.3k
- Pathology and Forensic Medicine 1.5k
- Hepatology 1.4k
- Molecular Biology 1.2k
Countries citing papers authored by Rafael G. Amado
This map shows the geographic impact of Rafael G. Amado'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 Rafael G. Amado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael G. Amado more than expected).
Fields of papers citing papers by Rafael G. Amado
This network shows the impact of papers produced by Rafael G. Amado. 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 Rafael G. Amado. The network helps show where Rafael G. Amado may publish in the future.
Co-authorship network of co-authors of Rafael G. Amado
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael G. Amado. A scholar is included among the top collaborators of Rafael G. Amado based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafael G. Amado. Rafael G. Amado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 147 | |
| 4 | 40 | |
| 5 | 4 | |
| 6 | 61 | |
| 7 | 106 | |
| 8 | Wild-Type KRAS Is Required for Panitumumab Efficacy in Patients With Metastatic Colorectal Cancerbreakdown → | 2400 |
| 9 | Association of KRAS mutational status and efficacy of panitumumab monotherapy for the treatment (tx) of metastatic colorectal cancer (mCRC): results of pooled data from 4 clinical studies. | 5 |
| 10 | 129 | |
| 11 | 158 | |
| 12 | 153 | |
| 13 | 79 | |
| 14 | 17 | |
| 15 | 83 | |
| 16 | 297 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 10 |
About Rafael G. Amado
Rafael G. Amado is a scholar working on Oncology, Hepatology and Health Informatics, having authored 57 papers that have together received 6.7k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (22 papers), CAR-T cell therapy research (15 papers) and Immunotherapy and Immune Responses (12 papers). The work is most often cited by research in Oncology (5.0k citations), Hepatology (1.4k citations) and Pathology and Forensic Medicine (1.5k citations). Rafael G. Amado has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Marc Peeters, Eric Van Cutsem, Salvatore Siena, Michael Wolf, Daniel J. Freeman, Robert Radinsky, Todd Juan, Scott D. Patterson, Robert Sikorski and David Chang. Their work appears in journals such as Journal of Clinical Oncology, Blood and Nature Biotechnology.
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.