Sofia Macedo

31 papers receiving 1.6k citations

Sofia Macedo's Hit Papers

Structural Evidence for Ligand Specificity in the Binding Domain of the Human Androgen Receptor 2000 · 515 citations
5150+8+17Years since publication100200300400500

Peers

Sofia Macedo
Comparison fields: 5 of 133
  • Endocrinology, Diabetes and Metabolism 304
  • Inorganic Chemistry 203
  • Genetics 372
  • Molecular Biology 703
  • Health, Toxicology and Mutagenesis 102
Replace Sadao Wakabayashi with:
Sadao Wakabayashi Japan
Yasuo Hata Japan
C. Logan Mackay United Kingdom
Tomoko Okada Japan
Zbigniew Szewczuk Poland
Éric Quéméneur France
Dax Fu United States
Huiying Li China
Michael E. Lassman United States
Sofia Macedo relative to Sadao Wakabayashi Japan Sadao Wakabayashi's profile →
Citations per field
00.5×5.7×
Sadao Wakabayashi · 1×
Citations per year

Countries citing papers authored by Sofia Macedo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sofia Macedo Line = papers co-authored together Sofia Macedo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structural Evidence for Ligand Specificity in the Binding Domain of the Human Androgen Receptor
Hit paper breakdown →
2000515
2 2018372
3 2000200
4 200395
5 202260
6 201751
7 200948
8 201748
9 200340
10 202233
11 200730
12 201829
13 200229
14 202016
15 200015
16 202212
17 200310
18 202210
19 201910
20 20018

About Sofia Macedo

Sofia Macedo is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 1.7k 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), Neuroendocrine Tumor Research Advances (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Hormonal and reproductive studies (2 papers), Neuroblastoma Research and Treatments (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (304 citations), Inorganic Chemistry (203 citations), Genetics (372 citations), Molecular Biology (703 citations) and Health, Toxicology and Mutagenesis (102 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, Peter Scholz, Ursula Egner, Peter Donner, Martina Schäfer and Cristina Peixoto. Their work appears in journals such as Cancers, Journal of Synchrotron Radiation, JBIC Journal of Biological Inorganic Chemistry, Ecotoxicology and Molecular and Cellular Endocrinology.

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.

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