Danielle Malheiros

31 papers receiving 596 citations

Peers

Danielle Malheiros
Comparison fields: 5 of 76
  • Cancer Research 302
  • Transplantation 23
  • Immunology 125
  • Molecular Biology 346
  • Pathology and Forensic Medicine 90
Replace Lindsay Primrose with:
Lindsay Primrose United Kingdom
Seiji Ueda Japan
Sarah Eddy United States
S. Treter United States
Debora Franceschini Italy
Thamara Beyer Germany
Takehiko Sasazuki Japan
R Andreesen Germany
Shuya Shirahama Japan
Edith Roth Germany
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Malheiros

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Malheiros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 201895
3 202051
4 202040
5 201932
6 200628
7 201927
8 201626
9 200923
10 201020
11 201417
12 200516
13 202114
14 202013
15 202112
16 201812
17 202211
18 200610
19 20239
20 20079

About Danielle Malheiros

Danielle Malheiros is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Immunology and Rheumatology, having authored 31 papers that have together received 603 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (10 papers), Autoimmune Bullous Skin Diseases (9 papers), Extracellular vesicles in disease (8 papers), Urticaria and Related Conditions (5 papers), Cancer-related molecular mechanisms research (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (302 citations), Transplantation (23 citations), Immunology (125 citations), Molecular Biology (346 citations) and Pathology and Forensic Medicine (90 citations). Danielle Malheiros has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Maria Luiza Petzl‐Erler, Rodrigo Coutinho de Almeida, Patricia Midori Murobushi Ozawa, Amanda Salviano‐Silva, Sara Cristina Lobo‐Alves, Enilze Maria de Souza Fonseca Ribeiro, Luciane R. Cavalli, Iglenir João Cavalli, Gabriel Adelman Cipolla and Márcia Holsbach Beltrame. Their work appears in journals such as Immunology, Frontiers in Immunology, Gene, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Journal of Autoimmunity.

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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