Anna Macià
Impact in
- Physiology top 10%
Papers in
- Oncology 8
- Cutaneous Melanoma Detection and Management 4
- Cancer Immunotherapy and Biomarkers 2
- Cancer-related Molecular Pathways 2
-
- Melanoma and MAPK Pathways 8
- Ion channel regulation and function 2
- Co-authors
- Carla Barceló (9 shared papers)Óscar Maiques (10 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)Marı́a Santacana (8 shared papers)
- Journals
- Cancers (4 papers)American Journal Of Pathology (2 papers)The Journal of Pathology (1 paper)Nature Communications (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Anna Macià
26 papers receiving 870 citations
Anna Macià's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 75
- Physiology 20
- Oncology 111
- Molecular Biology 310
- Cell Biology 66
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 28 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 | 454 |
| 2 | 2018 | 78 | |
| 3 | 2012 | 36 | |
| 4 | 2011 | 34 | |
| 5 | 2011 | 31 | |
| 6 | 2013 | 31 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 22 | |
| 9 | 2025 | 21 | |
| 10 | 2015 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 4 |
About Anna Macià
Anna Macià is a scholar working on Oncology, Molecular Biology, Physiology, Cell Biology and Biochemistry, having authored 28 papers that have together received 880 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Cutaneous Melanoma Detection and Management (4 papers), Cellular Mechanics and Interactions (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Ion channel regulation and function (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (75 citations), Physiology (20 citations), Oncology (111 citations), Molecular Biology (310 citations) and Cell Biology (66 citations). Anna Macià has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Carla Barceló, Óscar Maiques, Pol Sisó, Anaïs Panosa, Jordi Pijuan, David F. Moreno, Carles Cantı́, Marı́a Santacana, Judit Herreros and Xavier Matías‐Guiu. Their work appears in journals such as Cancers, American Journal Of Pathology, The Journal of Pathology, Nature Communications and British Journal of Cancer.
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.