Daniela Macedo

510 citations
20 papers · 319 · h-index 7

Impact in

Papers in

Daniela Macedo

16 papers receiving 313 citations

Peers

Daniela Macedo
Comparison fields: 5 of 60
  • Cancer Research 64
  • Pulmonary and Respiratory Medicine 113
  • Oncology 83
  • Molecular Biology 116
  • Anesthesiology and Pain Medicine 8
Replace Zhenzhen Zhao with:
Zhenzhen Zhao China
Teruo Yamauchi Japan
Boxing Su China
Chuan Huang China
Cheng-Huang Shen Taiwan
Yunhua Lin China
Qianwei Xing China
Elisabeth Specht Stovgaard Denmark
Zifan Zeng China
Yasuhiro Yuasa Japan
Daniela Macedo relative to Zhenzhen Zhao China Zhenzhen Zhao's profile →
Citations per field
00.5×1.7×
Zhenzhen Zhao · 1×
Citations per year

Countries citing papers authored by Daniela Macedo

Since Specialization
Citations

This map shows the geographic impact of Daniela 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 Daniela Macedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Macedo more than expected).

Fields of papers citing papers by Daniela Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela 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 Daniela Macedo. The network helps show where Daniela Macedo may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela 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 Daniela Macedo Line = papers co-authored together Daniela Macedo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201292
2 201891
3 201545
4 201922
5 201722
6 20219
7 20167
8 20226
9 20156
10 20196
11 20135
12 20152
13 20192
14 20222
15
MANAGEMENT AND TREATMENT OF KAPOSI’S SARCOMA – THE IMPORTANCE OF THE MULTIDISCIPLINARY
20151
16 20161
17 20240
18 20250
19
O Ambiente e a Sustentabilidade no Ramo Hoteleiro
20150
20 20150

About Daniela Macedo

Daniela Macedo is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (4 papers), Prostate Cancer Treatment and Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer, Lipids, and Metabolism (2 papers), Viral-associated cancers and disorders (2 papers), Business and Management Studies (2 papers), Bone health and treatments (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (64 citations), Pulmonary and Respiratory Medicine (113 citations), Oncology (83 citations), Molecular Biology (116 citations) and Anesthesiology and Pain Medicine (8 citations). Daniela Macedo has collaborated with scholars based in Portugal, Brazil and Paraguay. Frequent co-authors include Luís Costa, Isabel Fernandes, André Mansinho, Teresa Amaral, Irina Alho, Maria Rita Dionísio, Catarina Pulido, Teresa R. Pacheco, Sandra Casimiro and Arlindo R. Ferreira. Their work appears in journals such as BioMed Research International, Cells, International Journal of Molecular Sciences, Endoscopy and Prostate 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.

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