Daniela A. Moraes

2.5k citations
49 papers · 1.2k · h-index 14

Impact in

Papers in

Daniela A. Moraes

45 papers receiving 1.1k citations

Peers

Daniela A. Moraes
Comparison fields: 5 of 82
  • Genetics 216
  • Pathology and Forensic Medicine 318
  • Endocrinology, Diabetes and Metabolism 204
  • Genetics 290
  • Immunology 196
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Malin V. Jonsson Norway
Yu Oyama United States
Soufiane Ghannam France
Bingzhu Hua China
Alessandra Marrelli Italy
Kohji Yoshimoto Japan
Patrick J. Oliverio United States
Sung Joo Kim South Korea
Andrew P. Andonopoulos Greece
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Citations per field
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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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007400
2 2016157
3 2013109
4 201865
5 200953
6 201433
7 201829
8 200828
9 201126
10 202124
11 202122
12 202018
13 202213
14 201713
15 202211
16 201311
17 200710
18 202010
19 202110
20 20099

About Daniela A. Moraes

Daniela A. Moraes is a scholar working on Pathology and Forensic Medicine, Genetics, Surgery, Genetics and Hematology, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (22 papers), Diabetes and associated disorders (8 papers), Diabetes Management and Research (7 papers), Pancreatic function and diabetes (7 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Mast cells and histamine (3 papers). The work is most often cited by research in Genetics (216 citations), Pathology and Forensic Medicine (318 citations), Endocrinology, Diabetes and Metabolism (204 citations), Genetics (290 citations) and Immunology (196 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, Blood, 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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