Sofia Macedo
Impact in
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- Hormonal and reproductive studies
- Inorganic Chemistry top 10%
- Metal-Catalyzed Oxygenation Mechanisms
Papers in ⓘ
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- Iron Metabolism and Disorders 3
- Co-authors
- M.A. Carrondo (8 shared papers)Pedro M. Matias (6 shared papers)R. Coelho (3 shared papers)M. Thomaz (2 shared papers)S. Basler (1 shared paper)Martina Schäfer (1 shared paper)Peter Scholz (1 shared paper)Ursula Egner (1 shared paper)
- Journals
- Cancers (3 papers)Journal of Synchrotron Radiation (2 papers)JBIC Journal of Biological Inorganic Chemistry (2 papers)Journal of the American Academy of Dermatology (1 paper)Scientific Reports (1 paper)
- Partner nations
- PortugalFranceUnited States
In The Last Decade
Sofia Macedo
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 134
- Endocrinology, Diabetes and Metabolism 297
- Inorganic Chemistry 193
- Genetics 364
- Molecular Biology 680
- Health, Toxicology and Mutagenesis 99
Countries citing papers authored by Sofia Macedo
This map shows the geographic impact of Sofia Macedo'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 Sofia Macedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Macedo more than expected).
Fields of papers citing papers by Sofia Macedo
This network shows the impact of papers produced by Sofia Macedo. 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 Sofia Macedo. The network helps show where Sofia Macedo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia Macedo, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 482 | |
| 2 | 2018 | 359 | |
| 3 | 2000 | 186 | |
| 4 | 2003 | 90 | |
| 5 | 2017 | 49 | |
| 6 | 2022 | 49 | |
| 7 | 2017 | 45 | |
| 8 | 2009 | 44 | |
| 9 | 2003 | 35 | |
| 10 | 2022 | 32 | |
| 11 | 2002 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2007 | 25 | |
| 14 | 2020 | 15 | |
| 15 | 2000 | 15 | |
| 16 | 2022 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2003 | 9 | |
| 20 | 2001 | 8 |
About Sofia Macedo
Sofia Macedo is a scholar working on Structural Biology, Hematology, Endocrinology, Diabetes and Metabolism, Inorganic Chemistry and Neurology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Porphyrin Metabolism and Disorders (4 papers), Iron Metabolism and Disorders (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Long-Term Effects of COVID-19 (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (297 citations), Inorganic Chemistry (193 citations), Genetics (364 citations), Molecular Biology (680 citations) and Health, Toxicology and Mutagenesis (99 citations). Sofia Macedo has collaborated with scholars based in Portugal, France and United States. Frequent co-authors include M.A. Carrondo, Pedro M. Matias, R. Coelho, M. Thomaz, S. Basler, Martina Schäfer, Peter Scholz, Ursula Egner, Peter Donner and Cristina Peixoto. Their work appears in journals such as Cancers, Journal of Synchrotron Radiation, JBIC Journal of Biological Inorganic Chemistry, Journal of the American Academy of Dermatology and Scientific Reports.
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.