Carmen Povés
Impact in
-
- Cancer Genomics and Diagnostics
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- RNA modifications and cancer 4
- Glycosylation and Glycoproteins Research 3
- Advanced biosensing and bioanalysis techniques 3
- Oncology 4
- Co-authors
- María Jesús Fernández‐Aceñero (12 shared papers)Rodrigo Barderas (8 shared papers)María Garranzo‐Asensio (7 shared papers)Núria Rodríguez (5 shared papers)Gemma Domínguez (6 shared papers)Ana Guzmán‐Aránguez (4 shared papers)Susana Campuzano (3 shared papers)Víctor Ruiz‐Valdepeñas Montiel (3 shared papers)
- Journals
- Cancers (2 papers)Scientific Reports (2 papers)Molecular Oncology (1 paper)Cancer Immunology Research (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- SpainPortugalUnited States
In The Last Decade
Carmen Povés
12 papers receiving 158 citations
Peers
Comparison fields: 5 of 34
- Cancer Research 24
- Radiology, Nuclear Medicine and Imaging 32
- Molecular Biology 97
- Oncology 34
- Immunology 24
Countries citing papers authored by Carmen Povés
This map shows the geographic impact of Carmen Povés'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 Carmen Povés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Povés more than expected).
Fields of papers citing papers by Carmen Povés
This network shows the impact of papers produced by Carmen Povés. 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 Carmen Povés. The network helps show where Carmen Povés may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmen Povés, 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 | 2016 | 38 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 26 | |
| 4 | 2023 | 16 | |
| 5 | 2019 | 15 | |
| 6 | 2017 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2011 | 0 |
About Carmen Povés
Carmen Povés is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 14 papers that have together received 159 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Cancer Research (24 citations), Radiology, Nuclear Medicine and Imaging (32 citations), Molecular Biology (97 citations), Oncology (34 citations) and Immunology (24 citations). Carmen Povés has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include María Jesús Fernández‐Aceñero, Rodrigo Barderas, María Garranzo‐Asensio, Núria Rodríguez, Gemma Domínguez, Ana Guzmán‐Aránguez, Susana Campuzano, Víctor Ruiz‐Valdepeñas Montiel, Ana Montero‐Calle and José M. Pingarrón. Their work appears in journals such as Cancers, Scientific Reports, Molecular Oncology, Cancer Immunology Research and Analytical Chemistry.
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.