Fernanda Antunes

37 papers receiving 520 citations

Peers

Fernanda Antunes
Comparison fields: 5 of 87
  • Geriatrics and Gerontology 22
  • Physiology 20
  • Epidemiology 152
  • Cancer Research 57
  • Physiology 95
Replace Yuxia Sui with:
Yuxia Sui China
Seon‐Young Han South Korea
Hiroaki Kanouchi Japan
Mengling Li China
Asim Azhar Siddiqui India
Woo Yong Park South Korea
Hongyang Shi China
Young Hun Kim South Korea
Uddin Md. Nazim South Korea
Silvia Guzmán‐Beltrán Mexico
Fernanda Antunes relative to Yuxia Sui China Yuxia Sui's profile →
Citations per field
00.5×6.3×
Yuxia Sui · 1×
Citations per year

Countries citing papers authored by Fernanda Antunes

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Antunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 202059
3 201847
4 201342
5 200636
6 201829
7 201727
8 201624
9 201522
10 202116
11 202013
12 202111
13 20089
14 20178
15 20117
16 20137
17 20206
18 20176
19 20225
20 20233

About Fernanda Antunes

Fernanda Antunes is a scholar working on Molecular Biology, Oncology, Epidemiology, Physiology and Small Animals, having authored 43 papers that have together received 528 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Virus-based gene therapy research (5 papers), Veterinary Pharmacology and Anesthesia (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Anesthesia and Sedative Agents (4 papers), CAR-T cell therapy research (4 papers), Adenosine and Purinergic Signaling (3 papers) and Bariatric Surgery and Outcomes (3 papers). The work is most often cited by research in Geriatrics and Gerontology (22 citations), Physiology (20 citations), Epidemiology (152 citations), Cancer Research (57 citations) and Physiology (95 citations). Fernanda Antunes has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Soraya S. Smaili, Gustavo J.S. Pereira, Cláudia Bincoletto, Rodrigo Portes Ureshino, Roger Chammas, María Cristina Rangel, Angélica Jardim Costa, Silvina Odete Bustos, Adolfo Garcia Erustes and Gisele Zapata‐Sudo. Their work appears in journals such as Anais da Academia Brasileira de Ciências, Scientific Reports, Molecules, Clinical and Experimental Pharmacology and Physiology and Chemico-Biological Interactions.

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.

Explore authors with similar magnitude of impact