Amberly Moreno
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 1
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- vaccines and immunoinformatics approaches 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Susann Szmania (6 shared papers)Frits van Rhee (6 shared papers)Guido Tricot (6 shared papers)John D. Shaughnessy (2 shared papers)Bart Barlogie (5 shared papers)Ramesh B. Batchu (2 shared papers)Fenghuang Zhan (2 shared papers)Sushil Kumar Gupta (1 shared paper)
- Journals
- Blood (3 papers)Cancer Research (1 paper)British Journal of Haematology (1 paper)Journal of Immunotherapy (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Amberly Moreno
6 papers receiving 399 citations
Peers
Comparison fields: 5 of 27
- Hematology 199
- Immunology 344
- Oncology 192
- Molecular Biology 139
- Radiology, Nuclear Medicine and Imaging 23
Countries citing papers authored by Amberly Moreno
This map shows the geographic impact of Amberly Moreno'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 Amberly Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amberly Moreno more than expected).
Fields of papers citing papers by Amberly Moreno
This network shows the impact of papers produced by Amberly Moreno. 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 Amberly Moreno. The network helps show where Amberly Moreno may publish in the future.
Co-authors
The 25 scholars most cited alongside Amberly Moreno, 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 | 2005 | 159 | |
| 2 | 2008 | 156 | |
| 3 | 2005 | 53 | |
| 4 | 2007 | 32 | |
| 5 | 2004 | 2 | |
| 6 | 2005 | 2 |
About Amberly Moreno
Amberly Moreno is a scholar working on Immunology, Molecular Biology, Hematology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 6 papers that have together received 404 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Hematopoietic Stem Cell Transplantation (2 papers), vaccines and immunoinformatics approaches (2 papers), T-cell and B-cell Immunology (2 papers), Multiple Myeloma Research and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Hematology (199 citations), Immunology (344 citations), Oncology (192 citations), Molecular Biology (139 citations) and Radiology, Nuclear Medicine and Imaging (23 citations). Amberly Moreno has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Susann Szmania, Frits van Rhee, Guido Tricot, John D. Shaughnessy, Bart Barlogie, Ramesh B. Batchu, Fenghuang Zhan, Sushil Kumar Gupta, Pei Lin and Michele Cottler‐Fox. Their work appears in journals such as Blood, Cancer Research, British Journal of Haematology and Journal of Immunotherapy.
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.