Marta Cuenca
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Immunology 12
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 11
-
- Multiple Myeloma Research and Treatments 8
- Co-authors
- Pablo Engel (10 shared papers)Jordi Sintes (3 shared papers)Cox Terhorst (5 shared papers)Xavier Romero (3 shared papers)Victor Peperzak (9 shared papers)Árpád Lányi (1 shared paper)Monique C. Minnema (7 shared papers)Anne Slomp (3 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Blood (2 papers)The Journal of Immunology (2 papers)Blood Advances (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- SpainNetherlandsUnited States
In The Last Decade
Marta Cuenca
22 papers receiving 357 citations
Peers
Comparison fields: 5 of 60
- Immunology 178
- Hematology 85
- Oncology 66
- Molecular Biology 118
- Pathology and Forensic Medicine 28
Countries citing papers authored by Marta Cuenca
This map shows the geographic impact of Marta Cuenca'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 Marta Cuenca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Cuenca more than expected).
Fields of papers citing papers by Marta Cuenca
This network shows the impact of papers produced by Marta Cuenca. 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 Marta Cuenca. The network helps show where Marta Cuenca may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Cuenca, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2019 | 63 | |
| 3 | 2019 | 51 | |
| 4 | 2018 | 34 | |
| 5 | 2012 | 30 | |
| 6 | 2013 | 30 | |
| 7 | 2015 | 17 | |
| 8 | 2018 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2021 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Marta Cuenca
Marta Cuenca is a scholar working on Immunology, Hematology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 24 papers that have together received 358 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers), Multiple Myeloma Research and Treatments (8 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Protein Degradation and Inhibitors (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Immunology (178 citations), Hematology (85 citations), Oncology (66 citations), Molecular Biology (118 citations) and Pathology and Forensic Medicine (28 citations). Marta Cuenca has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Pablo Engel, Jordi Sintes, Cox Terhorst, Xavier Romero, Victor Peperzak, Árpád Lányi, Monique C. Minnema, Anne Slomp, David C.S. Huang and Jianan Gong. Their work appears in journals such as Frontiers in Immunology, Blood, The Journal of Immunology, Blood Advances and The Journal of Experimental Medicine.
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.