Daniela A. Moraes

45 papers receiving 1.1k citations

Peers

Daniela A. Moraes
Comparison fields: 5 of 84
  • Genetics 253
  • Pathology and Forensic Medicine 336
  • Endocrinology, Diabetes and Metabolism 247
  • Dermatology 104
  • Immunology 245
Replace Malin V. Jonsson with:
Malin V. Jonsson Norway
Stuart S. Kassan United States
Bing Xu China
Justin Pijpe Netherlands
Andrew P. Andonopoulos Greece
Penny McKelvie Australia
Sung Joo Kim South Korea
Soufiane Ghannam France
R Vanwijck Belgium
Kristin Henry United Kingdom
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Citations per year

Countries citing papers authored by Daniela A. Moraes

Since Specialization
Citations

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

Fields of papers citing papers by Daniela A. Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007399
2 2016152
3 2013107
4 201864
5 200953
6 201431
7 201829
8 200828
9 201126
10 202124
11 202121
12 202018
13 201713
14 202212
15 201311
16 202211
17 200710
18 20229
19 20219
20 20119

About Daniela A. Moraes

Daniela A. Moraes is a scholar working on Pathology and Forensic Medicine, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (22 papers), Pancreatic function and diabetes (9 papers), Diabetes Management and Research (9 papers), Diabetes and associated disorders (9 papers), Inflammatory Myopathies and Dermatomyositis (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Mast cells and histamine (5 papers) and Dermatologic Treatments and Research (4 papers). The work is most often cited by research in Genetics (253 citations), Pathology and Forensic Medicine (336 citations), Endocrinology, Diabetes and Metabolism (247 citations), Dermatology (104 citations) and Immunology (245 citations). Daniela A. Moraes has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Maria Carolina Oliveira, Belinda Pinto Simões, Júlio César Voltarelli, Kelen Cristina Ribeiro Malmegrim, Fabiano Pieroni, Ana Beatriz P. L. Stracieri, Richard K. Burt, Carlos Eduardo Barra Couri, Milton César Foss and Marina A. Coutinho. Their work appears in journals such as Bone Marrow Transplantation, JAMA, Lara D. Veeken, Annals of the Rheumatic Diseases and Frontiers in 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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