Marcelo Lancellotti

61 papers receiving 1.1k citations

Peers

Marcelo Lancellotti
Comparison fields: 5 of 114
  • Endocrinology 155
  • Microbiology 127
  • Molecular Medicine 92
  • Biomaterials 134
  • Infectious Diseases 114
Replace H. Zhang with:
H. Zhang China
Weslley Felix de Oliveira Brazil
Louise B. Lawson United States
Gary J. Sharples United Kingdom
Justin E. Silpe United States
Philipp Stiefel Switzerland
Jing Tu China
Lieve Van Mellaert Belgium
Osvaldo Yantorno Argentina
Marcelo Lancellotti relative to H. Zhang China H. Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcelo Lancellotti

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Lancellotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201167
2 201757
3 200246
4 201444
5 201441
6 201337
7 201836
8 201634
9 201734
10 202232
11 202032
12 201832
13 201831
14 201728
15 201627
16 200725
17 201525
18 200923
19 202123
20 201523

About Marcelo Lancellotti

Marcelo Lancellotti is a scholar working on Molecular Biology, Microbiology, Infectious Diseases, Oncology and Organic Chemistry, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (8 papers), Bacterial Infections and Vaccines (6 papers), Escherichia coli research studies (6 papers), Mosquito-borne diseases and control (5 papers), Bone Tissue Engineering Materials (4 papers), Bacteriophages and microbial interactions (4 papers), RNA Interference and Gene Delivery (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Endocrinology (155 citations), Microbiology (127 citations), Molecular Medicine (92 citations), Biomaterials (134 citations) and Infectious Diseases (114 citations). Marcelo Lancellotti has collaborated with scholars based in Brazil, Chile and United States. Frequent co-authors include Luciana Maria de Hollanda, Wanderley Dias da Silveira, Daisy Machado, Marcelo Brocchi, André Luiz Barboza Formiga, Pedro P. Corbi, Anderson Oliveira Lobo, Gerson Nakazato, Raphael Enoque Ferraz de Paiva and Eliana Guedes Stehling. Their work appears in journals such as Materials Science and Engineering C, Scientific Reports, Journal of Nanobiotechnology, Pharmaceutics and Journal of Biomedical Materials Research Part A.

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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