Mercè Padró
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Glycosylation and Glycoproteins Research 3
-
- Monoclonal and Polyclonal Antibodies Research 2
- Medical Imaging Techniques and Applications 1
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Raymond J. Louie (2 shared papers)Denise A. Chan (2 shared papers)Luika Timmerman (2 shared papers)Thomas Holton (1 shared paper)Joe W. Gray (1 shared paper)Mariia Yuneva (1 shared paper)Frank McCormick (1 shared paper)Anneleen Daemen (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Cancer Cell (1 paper)BMC Cancer (1 paper)Glycoconjugate Journal (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Mercè Padró
5 papers receiving 579 citations
Mercè Padró's Hit Papers
Peers
Comparison fields: 5 of 63
- Cancer Research 305
- Biochemistry 118
- Molecular Biology 421
- Biotechnology 46
- Oncology 124
Countries citing papers authored by Mercè Padró
This map shows the geographic impact of Mercè Padró'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 Mercè Padró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Padró more than expected).
Fields of papers citing papers by Mercè Padró
This network shows the impact of papers produced by Mercè Padró. 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 Mercè Padró. The network helps show where Mercè Padró may publish in the future.
Co-authors
The 23 scholars most cited alongside Mercè Padró, 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 | Glutamine Sensitivity Analysis Identifies the xCT Antiporter as a Common Triple-Negative Breast Tumor Therapeutic Target Hit paper breakdown → | 2013 | 471 |
| 2 | 2011 | 37 | |
| 3 | 2011 | 35 | |
| 4 | 2009 | 20 | |
| 5 | 2017 | 18 |
About Mercè Padró
Mercè Padró is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cancer Research and Organic Chemistry, having authored 5 papers that have together received 581 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Galectins and Cancer Biology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer-related Molecular Pathways (1 paper), Lysosomal Storage Disorders Research (1 paper), Medical Imaging Techniques and Applications (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Cancer Research (305 citations), Biochemistry (118 citations), Molecular Biology (421 citations), Biotechnology (46 citations) and Oncology (124 citations). Mercè Padró has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Raymond J. Louie, Denise A. Chan, Luika Timmerman, Thomas Holton, Joe W. Gray, Mariia Yuneva, Frank McCormick, Anneleen Daemen, Min Hu and Stephen P. Ethier. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Cancer Cell, BMC Cancer and Glycoconjugate Journal.
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.