Marisa Rangel

36 total papers · 997 total citations
29 papers, 750 citations indexed

About

Marisa Rangel is a scholar working on Microbiology, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Marisa Rangel has authored 29 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Microbiology, 10 papers in Molecular Biology and 9 papers in Environmental Chemistry. Recurrent topics in Marisa Rangel's work include Antimicrobial Peptides and Activities (11 papers), Venomous Animal Envenomation and Studies (7 papers) and Marine Sponges and Natural Products (6 papers). Marisa Rangel is often cited by papers focused on Antimicrobial Peptides and Activities (11 papers), Venomous Animal Envenomation and Studies (7 papers) and Marine Sponges and Natural Products (6 papers). Marisa Rangel collaborates with scholars based in Brazil, Japan and United States. Marisa Rangel's co-authors include Katsuhiro Konno, Marcia Perez dos Santos Cabrera, Gláucia Maria Machado‐Santelli, José Carlos de Freitas, João Ruggiero Neto, Elisabeth F. Schwartz, Caroline Barbosa Farias Mourão, Célia Leite Sant’Anna, Joacir Stolarz Oliveira and Izumi Hide and has published in prestigious journals such as PLoS ONE, The Journal of Urology and Journal of Cellular Physiology.

In The Last Decade

Marisa Rangel

29 papers receiving 734 citations

Author Peers

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

Author Last Decade Papers Cites
Marisa Rangel 288 258 162 144 117 29 750
Osmindo Rodrigues Pires Júnior 313 1.1× 198 0.8× 54 0.3× 53 0.4× 33 0.3× 53 862
Beatriz Simas Magalhães 407 1.4× 244 0.9× 95 0.6× 31 0.2× 118 1.0× 23 748
Gabriel Padilla 324 1.1× 46 0.2× 184 1.1× 28 0.2× 228 1.9× 54 879
Sabina Berne 360 1.3× 19 0.1× 135 0.8× 73 0.5× 67 0.6× 24 761
Daniele Losi 418 1.5× 57 0.2× 259 1.6× 14 0.1× 144 1.2× 14 829
Holger Schäfer 407 1.4× 103 0.4× 33 0.2× 23 0.2× 83 0.7× 24 795
Pavel A. Grigoriev 373 1.3× 52 0.2× 120 0.7× 62 0.4× 118 1.0× 34 746
Karin Schubert 418 1.5× 26 0.1× 58 0.4× 39 0.3× 66 0.6× 16 692
Ken C. Goulter 318 1.1× 131 0.5× 23 0.1× 44 0.3× 92 0.8× 25 670
Miroslava Atanassova 409 1.4× 26 0.1× 19 0.1× 30 0.2× 99 0.8× 30 886

Countries citing papers authored by Marisa Rangel

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Rangel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Rangel

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Rangel. A scholar is included among the top collaborators of Marisa Rangel 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 Marisa Rangel. Marisa Rangel 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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