Marcelo Lancellotti

31 total papers · 551 total citations
22 papers, 393 citations indexed

About

Marcelo Lancellotti is a scholar working on Microbiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Marcelo Lancellotti has authored 22 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Microbiology, 5 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Marcelo Lancellotti's work include Bacterial Infections and Vaccines (6 papers), Essential Oils and Antimicrobial Activity (3 papers) and Pneumonia and Respiratory Infections (3 papers). Marcelo Lancellotti is often cited by papers focused on Bacterial Infections and Vaccines (6 papers), Essential Oils and Antimicrobial Activity (3 papers) and Pneumonia and Respiratory Infections (3 papers). Marcelo Lancellotti collaborates with scholars based in Brazil, France and United States. Marcelo Lancellotti's co-authors include Daisy Machado, Muhamed‐Kheir Taha, Corinne Ruckly, Eva Hong, D.A. Alves, Jean‐Michel Alonso, Annie Guiyoule, Leticia Zarantonelli, Patrícia Severino and Alexandra Christine Helena Frankland Sawaya and has published in prestigious journals such as Scientific Reports, Journal of Antimicrobial Chemotherapy and Tetrahedron Letters.

In The Last Decade

Marcelo Lancellotti

20 papers receiving 378 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marcelo Lancellotti	125	87	78	77	55	22	393
Saloni Singla	81 0.6×	168 1.9×	35 0.4×	30 0.4×	62 1.1×	15	428
Mayram Hacıoğlu	89 0.7×	143 1.6×	22 0.3×	52 0.7×	33 0.6×	28	376
Mridu Dudeja	37 0.3×	57 0.7×	116 1.5×	33 0.4×	63 1.1×	32	404
Hosna Zare	201 1.6×	210 2.4×	45 0.6×	73 0.9×	7 0.1×	21	434
Alessandra Cândida Rios	85 0.7×	123 1.4×	11 0.1×	39 0.5×	26 0.5×	9	353
Hana Kudláčková	73 0.6×	61 0.7×	59 0.8×	44 0.6×	13 0.2×	28	428
Maria del Mar Cendra	64 0.5×	211 2.4×	25 0.3×	34 0.4×	16 0.3×	20	413
Angélique Lewies	199 1.6×	255 2.9×	19 0.2×	85 1.1×	30 0.5×	15	434
Amanda J. Gibson	67 0.5×	112 1.3×	34 0.4×	17 0.2×	12 0.2×	22	410
Maha I. Hamed	80 0.6×	107 1.2×	46 0.6×	42 0.5×	15 0.3×	26	375

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-authorship network of co-authors of Marcelo Lancellotti

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Lancellotti. A scholar is included among the top collaborators of Marcelo Lancellotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcelo Lancellotti. Marcelo Lancellotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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