Wilian A. Cortopassi

1.5k citations
29 papers · 1.1k · h-index 16

Impact in

Papers in

Wilian A. Cortopassi

29 papers receiving 1.1k citations

Peers

Wilian A. Cortopassi
Comparison fields: 5 of 100
  • Hematology 118
  • Physiology 40
  • Computational Theory and Mathematics 142
  • Molecular Biology 551
  • Neurology 89
Replace Dina Robaa with:
Dina Robaa Germany
Jianping Hu China
Paola B. Arimondo France
Cordelia Schiene‐Fischer Germany
Mei-Chu Lo United States
Justin S. Bryans United Kingdom
Massimiliano Meli Italy
Takuji Shoda Japan
James C. Burnett United States
Piliang Hao China
Wilian A. Cortopassi relative to Dina Robaa Germany Dina Robaa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wilian A. Cortopassi

Since Specialization
Citations

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

Fields of papers citing papers by Wilian A. Cortopassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wilian A. Cortopassi. 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 Wilian A. Cortopassi. The network helps show where Wilian A. Cortopassi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018208
2 2014143
3 2011127
4 201497
5 201872
6 201950
7 201747
8 201239
9 201930
10 201929
11 201627
12 201927
13 201519
14 202116
15 201916
16 201316
17 201115
18 201115
19 201413
20 201611

About Wilian A. Cortopassi

Wilian A. Cortopassi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Organic Chemistry and Hematology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Malaria Research and Control (5 papers), Protein Structure and Dynamics (5 papers), Protein Degradation and Inhibitors (4 papers), Alzheimer's disease research and treatments (3 papers), RNA Interference and Gene Delivery (3 papers), Enzyme Structure and Function (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Hematology (118 citations), Physiology (40 citations), Computational Theory and Mathematics (142 citations), Molecular Biology (551 citations) and Neurology (89 citations). Wilian A. Cortopassi has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Robert S. Paton, Tanos C. C. França, Kiran Kumar, Antoniana U. Krettli, Fernanda Duarte, T.K. Siu, Aline A. Oliveira, Matthew P. Jacobson, Stuart J. Conway and André Silva Pimentel. Their work appears in journals such as Biochemistry, PLoS ONE, ACS Chemical Biology, International Journal for Parasitology Drugs and Drug Resistance and Journal of Biological Chemistry.

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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