Marcelo S. Reis

1.3k total citations
37 papers, 598 citations indexed

About

Marcelo S. Reis is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Marcelo S. Reis has authored 37 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Epidemiology. Recurrent topics in Marcelo S. Reis's work include Machine Learning in Bioinformatics (4 papers), Plant Virus Research Studies (4 papers) and Trypanosoma species research and implications (4 papers). Marcelo S. Reis is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Plant Virus Research Studies (4 papers) and Trypanosoma species research and implications (4 papers). Marcelo S. Reis collaborates with scholars based in Brazil, United States and United Kingdom. Marcelo S. Reis's co-authors include João Carlos Setúbal, James Matsunaga, David A. Haake, Mariana C. Oliveira, João Paulo Kitajima, Jonathan C. Hagopian, Debashish Bhattacharya, Solange M.T. Serrano, Débora Andrade-Silva and Júnior Barrera and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Marcelo S. Reis

30 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcelo S. Reis Brazil 15 201 120 113 84 66 37 598
Samuel O. Oyola Kenya 13 430 2.1× 145 1.2× 134 1.2× 130 1.5× 111 1.7× 29 1.0k
Rubayet Elahi United States 13 198 1.0× 85 0.7× 26 0.2× 93 1.1× 35 0.5× 28 542
John Iodice United States 4 359 1.8× 323 2.7× 121 1.1× 50 0.6× 218 3.3× 5 750
Anand Radhakrishnan Saudi Arabia 6 143 0.7× 308 2.6× 40 0.4× 62 0.7× 49 0.7× 7 1.0k
Jonas D. Albarnaz Brazil 13 145 0.7× 24 0.2× 76 0.7× 56 0.7× 112 1.7× 21 455
Alan Mitchell Durham Brazil 17 290 1.4× 83 0.7× 112 1.0× 41 0.5× 243 3.7× 36 814
Nobuko Arisue Japan 21 345 1.7× 512 4.3× 68 0.6× 48 0.6× 80 1.2× 39 1.2k
Magnus Manske United Kingdom 13 473 2.4× 143 1.2× 143 1.3× 190 2.3× 87 1.3× 17 1.1k
Jacob Almagro‐Garcia United Kingdom 8 147 0.7× 93 0.8× 22 0.2× 82 1.0× 44 0.7× 12 634
Claudia Pfander United Kingdom 10 293 1.5× 176 1.5× 31 0.3× 40 0.5× 134 2.0× 10 858

Countries citing papers authored by Marcelo S. Reis

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo S. Reis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo S. Reis

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo S. Reis. A scholar is included among the top collaborators of Marcelo S. Reis 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 S. Reis. Marcelo S. Reis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Reis, Júlio Cesar dos, et al.. (2024). Customer churn prediction in imbalanced datasets with resampling methods: A comparative study. Expert Systems with Applications. 246. 123086–123086. 14 indexed citations
2.
Reis, Júlio Cesar dos, et al.. (2024). B2T: A Dataset of Tweets in Portuguese Language about Brazilian Banks. 1–11.
3.
Reis, Marcelo S., et al.. (2024). Hybrid Deep Learning Time-Lagged Precipitation-Runoff Model. Journal of Hydrologic Engineering. 29(6).
4.
Reis, Marcelo S. & Raquel C. de Melo-Minardi. (2023). Advances in Bioinformatics and Computational Biology. Lecture notes in computer science.
5.
Barrera, Júnior, Ronaldo F. Hashimoto, Nina S. T. Hirata, Roberto Hirata, & Marcelo S. Reis. (2022). From Mathematical Morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences. 16(1). 616–657. 1 indexed citations
6.
Dias, Matheus Henrique, Marcelo S. da Silva, Julianna D. Zeidler, et al.. (2021). Autophagy buffers Ras-induced genotoxic stress enabling malignant transformation in keratinocytes primed by human papillomavirus. Cell Death and Disease. 12(2). 194–194. 11 indexed citations
7.
Silva, Marcelo S. da, et al.. (2019). Transcription activity contributes to the firing of non-constitutive origins in African trypanosomes helping to maintain robustness in S-phase duration. Scientific Reports. 9(1). 18512–18512. 15 indexed citations
8.
Kitano, Eduardo S., Débora Andrade-Silva, Leo Kei Iwai, et al.. (2019). Comparative analysis of the high molecular mass subproteomes of eight Bothrops snake venoms. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 30. 113–121. 22 indexed citations
9.
Reis, Marcelo S., et al.. (2018). Optimal Boolean lattice-based algorithms for the U-curve optimization problem. Information Sciences. 471. 97–114. 3 indexed citations
10.
Dias, Matheus Henrique, Julianna D. Zeidler, Marcelo S. da Silva, et al.. (2018). Fibroblast Growth Factor 2 lethally sensitizes cancer cells to stress‐targeted therapeutic inhibitors. Molecular Oncology. 13(2). 290–306. 14 indexed citations
11.
Andrade-Silva, Débora, David J. Ashline, Trần Thi Thúy, et al.. (2018). Structures of N-Glycans of Bothrops Venoms Revealed as Molecular Signatures that Contribute to Venom Phenotype in Viperid Snakes. Molecular & Cellular Proteomics. 17(7). 1261–1284. 20 indexed citations
12.
Reis, Marcelo S., Vincent Noël, Matheus Henrique Dias, et al.. (2017). An Interdisciplinary Approach for Designing Kinetic Models of the Ras/MAPK Signaling Pathway. Methods in molecular biology. 1636. 455–474. 2 indexed citations
13.
Atashpaz-Gargari, Esmaeil, Marcelo S. Reis, Ulisses Braga-Neto, Júnior Barrera, & Edward R. Dougherty. (2017). A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition. 73. 172–188. 16 indexed citations
14.
Reis, Marcelo S., et al.. (2016). A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data. SHILAP Revista de lepidopterología.
15.
Lopes, Mariana, et al.. (2016). Quantitative Proteomic Analysis of Replicative and Nonreplicative Forms Reveals Important Insights into Chromatin Biology of Trypanosoma cruzi. Molecular & Cellular Proteomics. 16(1). 23–38. 22 indexed citations
16.
Pavani, Raphael, Marcelo S. Reis, Vincent Noël, et al.. (2015). Glyceraldehyde 3-Phosphate Dehydrogenase-Telomere Association Correlates with Redox Status in Trypanosoma cruzi. PLoS ONE. 10(3). e0120896–e0120896. 28 indexed citations
17.
18.
Reis, Marcelo S., Marco Aurélio Takita, Darío Abel Palmieri, & Marcos Antônio Machado. (2007). Bioinformatics for the Citrus EST Project (CitEST). Genetics and Molecular Biology. 30(3 suppl). 1024–1029. 5 indexed citations
19.
Souza, Alessandra Alves de, Marco Aurélio Takita, Helvécio Della Coletta-Filho, et al.. (2007). Analysis of expressed sequence tags from Citrus sinensis L. Osbeck infected with Xylella fastidiosa. Genetics and Molecular Biology. 30(3 suppl). 957–964. 12 indexed citations
20.
Reis, Marcelo S., et al.. (2006). Efeito do plantio direto no controle de tiririca (Cyperus rotundus l.) e outras plantas daninhas na cultura do milho. Revista Brasileira de Herbicidas. 5(1). 1–1. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Samuel O. Oyola Breakdown of academic impact, for papers by Rubayet Elahi Breakdown of academic impact, for papers by John Iodice Breakdown of academic impact, for papers by Anand Radhakrishnan Breakdown of academic impact, for papers by Jonas D. Albarnaz Breakdown of academic impact, for papers by Alan Mitchell Durham Breakdown of academic impact, for papers by Nobuko Arisue Breakdown of academic impact, for papers by Magnus Manske Breakdown of academic impact, for papers by Jacob Almagro‐Garcia Breakdown of academic impact, for papers by Claudia Pfander
Rankless by CCL
2026