Fernanda Canduri
Impact in
- Physiology top 5%
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- Computational Drug Discovery Methods
Papers in
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- Biochemical and Molecular Research 25
- Glycosylation and Glycoproteins Research 8
- Protein Structure and Dynamics 8
- Oncology 16
- Cancer-related Molecular Pathways 10
- Co-authors
- Walter Filgueira de Azevedo (51 shared papers)Diógenes Santiago Santos (23 shared papers)Luiz Augusto Basso (22 shared papers)Nelson José Freitas da Silveira (11 shared papers)Mário Sérgio Palma (23 shared papers)J.H. Pereira (12 shared papers)Rafael G. da Silva (9 shared papers)Jaim Simões de Oliveira (7 shared papers)
In The Last Decade
Fernanda Canduri
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Physiology 106
- Computational Theory and Mathematics 338
- Molecular Biology 1.1k
- Microbiology 86
- Infectious Diseases 243
Countries citing papers authored by Fernanda Canduri
This map shows the geographic impact of Fernanda Canduri'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 Canduri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Canduri more than expected).
Fields of papers citing papers by Fernanda Canduri
This network shows the impact of papers produced by Fernanda Canduri. 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 Canduri. The network helps show where Fernanda Canduri may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernanda Canduri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 117 | |
| 2 | 2004 | 92 | |
| 3 | 2016 | 57 | |
| 4 | 2002 | 57 | |
| 5 | 2006 | 56 | |
| 6 | 2004 | 54 | |
| 7 | 2004 | 48 | |
| 8 | 2008 | 47 | |
| 9 | 2003 | 47 | |
| 10 | 2003 | 46 | |
| 11 | 2008 | 43 | |
| 12 | 2017 | 43 | |
| 13 | 2005 | 43 | |
| 14 | 2002 | 42 | |
| 15 | 2003 | 42 | |
| 16 | 2003 | 41 | |
| 17 | 2007 | 41 | |
| 18 | 2003 | 41 | |
| 19 | 2003 | 35 | |
| 20 | 2004 | 34 |
About Fernanda Canduri
Fernanda Canduri is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Epidemiology and Infectious Diseases, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (25 papers), Enzyme Structure and Function (15 papers), Cancer-related Molecular Pathways (10 papers), Cytomegalovirus and herpesvirus research (10 papers), Glycosylation and Glycoproteins Research (8 papers), Protein Structure and Dynamics (8 papers), Adenosine and Purinergic Signaling (6 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Physiology (106 citations), Computational Theory and Mathematics (338 citations), Molecular Biology (1.1k citations), Microbiology (86 citations) and Infectious Diseases (243 citations). Fernanda Canduri has collaborated with scholars based in Brazil, Moldova and Poland. Frequent co-authors include Walter Filgueira de Azevedo, Diógenes Santiago Santos, Luiz Augusto Basso, Nelson José Freitas da Silveira, Mário Sérgio Palma, J.H. Pereira, Rafael G. da Silva, Jaim Simões de Oliveira, Rafael Andrade Caceres and M.V.B. Dias. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Molecular Modeling, Cell Biochemistry and Biophysics, Current Drug Targets and Protein Expression and Purification.
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.