Danielle Malheiros

36 papers receiving 685 citations

Peers

Danielle Malheiros
Comparison fields: 5 of 73
  • Cancer Research 284
  • Transplantation 21
  • Pathology and Forensic Medicine 122
  • Immunology 125
  • Molecular Biology 350
Replace Takero Shindo with:
Takero Shindo Japan
Tina Petrogiannis‐Haliotis Canada
Hidenori Hase Japan
Michele Vigolo Switzerland
Wim P.M. Tamboer Netherlands
Barbara Bazolli Italy
Igor S. Bazin Russia
Tommaso D’Antuono Italy
Julie Diboll United Kingdom
Heiko Sic 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 2018100
3 202060
4 202045
5 201933
6 201631
7 201928
8 200628
9 200926
10 201023
11 201419
12 200516
13 202114
14 202114
15 202213
16 201813
17 202013
18 202112
19 202411
20 200711

About Danielle Malheiros

Danielle Malheiros is a scholar working on Pathology and Forensic Medicine, Cancer Research, Immunology, Rheumatology and Molecular Biology, having authored 36 papers that have together received 693 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (13 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (9 papers), Extracellular vesicles in disease (8 papers), Cancer-related molecular mechanisms research (5 papers), Urticaria and Related Conditions (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 (284 citations), Transplantation (21 citations), Pathology and Forensic Medicine (122 citations), Immunology (125 citations) and Molecular Biology (350 citations). Danielle Malheiros has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Maria Luiza Petzl‐Erler, Rodrigo Coutinho de Almeida, Enilze Maria de Souza Fonseca Ribeiro, Amanda Salviano‐Silva, Patricia Midori Murobushi Ozawa, Sara Cristina Lobo‐Alves, Luciane R. Cavalli, Iglenir João Cavalli, Gabriel Adelman Cipolla and Danillo G. Augusto. Their work appears in journals such as Immunology, Journal of Autoimmunity, Frontiers in Immunology, Human Immunology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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