Anna Macià
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Melanoma and MAPK Pathways 4
- Wnt/β-catenin signaling in development and cancer 3
- Fibroblast Growth Factor Research 3
- Kruppel-like factors research 2
- Oncology 8
- Cutaneous Melanoma Detection and Management 3
- Co-authors
- Óscar Maiques (10 shared papers)Carla Barceló (9 shared papers)Pol Sisó (8 shared papers)Anaïs Panosa (4 shared papers)Jordi Pijuan (3 shared papers)David F. Moreno (1 shared paper)Carles Cantı́ (5 shared papers)Judit Herreros (4 shared papers)
- Journals
- Cancers (4 papers)Cell Death and Differentiation (1 paper)Dermatology (1 paper)Acta Dermato Venereologica (1 paper)Oncogene (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Anna Macià
23 papers receiving 773 citations
Anna Macià's Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 103
- Drug Discovery 1
- Molecular Biology 392
- Sensory Systems 23
- Oncology 117
Countries citing papers authored by Anna Macià
This map shows the geographic impact of Anna Macià'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 Anna Macià with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Macià more than expected).
Fields of papers citing papers by Anna Macià
This network shows the impact of papers produced by Anna Macià. 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 Anna Macià. The network helps show where Anna Macià may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Macià, 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 | In vitro Cell Migration, Invasion, and Adhesion Assays: From Cell Imaging to Data Analysis Hit paper breakdown → | 2019 | 434 |
| 2 | 2018 | 74 | |
| 3 | 2011 | 32 | |
| 4 | 2013 | 30 | |
| 5 | 2011 | 29 | |
| 6 | 2016 | 26 | |
| 7 | 2019 | 20 | |
| 8 | 2015 | 20 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2016 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2018 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Anna Macià
Anna Macià is a scholar working on Molecular Biology, Oncology, Cell Biology, Surgery and Epidemiology, having authored 24 papers that have together received 778 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Fibroblast Growth Factor Research (3 papers), Kruppel-like factors research (2 papers), Cellular Mechanics and Interactions (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cancer Research (103 citations), Drug Discovery (1 citation), Molecular Biology (392 citations), Sensory Systems (23 citations) and Oncology (117 citations). Anna Macià has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Óscar Maiques, Carla Barceló, Pol Sisó, Anaïs Panosa, Jordi Pijuan, David F. Moreno, Carles Cantı́, Judit Herreros, Marı́a Santacana and Xavier Matías‐Guiu. Their work appears in journals such as Cancers, Cell Death and Differentiation, Dermatology, Acta Dermato Venereologica and Oncogene.
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.