Márcio Dorn

1.7k total citations
86 papers, 1.0k citations indexed

About

Márcio Dorn is a scholar working on Molecular Biology, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Márcio Dorn has authored 86 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 18 papers in Artificial Intelligence and 16 papers in Materials Chemistry. Recurrent topics in Márcio Dorn's work include Protein Structure and Dynamics (32 papers), Machine Learning in Bioinformatics (23 papers) and Enzyme Structure and Function (16 papers). Márcio Dorn is often cited by papers focused on Protein Structure and Dynamics (32 papers), Machine Learning in Bioinformatics (23 papers) and Enzyme Structure and Function (16 papers). Márcio Dorn collaborates with scholars based in Brazil, Germany and Chile. Márcio Dorn's co-authors include Bruno Iochins Grisci, Bruno César Feltes, Luciana S. Buriol, Luís C. Lamb, Jan R. Andreesen, G. Gottschalk, Mario Inostroza-Ponta, Osmar Norberto de Souza, Mathias J. Krause and Hugo Verli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Journal of Physical Chemistry B.

In The Last Decade

Márcio Dorn

79 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Márcio Dorn Brazil 18 575 226 126 106 45 86 1.0k
Wei‐Chun Kao Taiwan 17 479 0.8× 175 0.8× 43 0.3× 38 0.4× 56 1.2× 36 1.0k
Zheng Rong Yang United Kingdom 19 940 1.6× 253 1.1× 213 1.7× 127 1.2× 114 2.5× 94 1.9k
Liwei Li China 15 214 0.4× 53 0.2× 90 0.7× 50 0.5× 34 0.8× 54 892
Yusen Zhang China 25 1.3k 2.2× 232 1.0× 199 1.6× 103 1.0× 27 0.6× 151 2.0k
Zhirong Sun China 21 1.8k 3.2× 127 0.6× 299 2.4× 125 1.2× 31 0.7× 55 2.3k
Gary B. Fogel United States 23 643 1.1× 429 1.9× 324 2.6× 46 0.4× 135 3.0× 111 1.5k
Zhenqiang Su United States 21 817 1.4× 96 0.4× 259 2.1× 73 0.7× 23 0.5× 47 1.5k
Lanqing Li China 18 137 0.2× 67 0.3× 61 0.5× 47 0.4× 14 0.3× 53 920
Joe G. Greener United Kingdom 12 989 1.7× 156 0.7× 251 2.0× 249 2.3× 47 1.0× 19 1.9k

Countries citing papers authored by Márcio Dorn

Since Specialization
Citations

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

Fields of papers citing papers by Márcio Dorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márcio Dorn

This figure shows the co-authorship network connecting the top 25 collaborators of Márcio Dorn. A scholar is included among the top collaborators of Márcio Dorn 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 Márcio Dorn. Márcio Dorn 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.
Bicalho, Maria da Graça, et al.. (2025). BR-FDP-EYE: Brazilian Forensic DNA eye phenotyping. Forensic Science International. 377. 112593–112593.
2.
Dorn, Márcio, et al.. (2025). Deep learning methods and applications in single-cell multimodal data integration. Molecular Omics. 21(6). 545–565.
3.
Mayer, Fabiana Quoos, Ana Paula Muterle Varela, Vasco Azevedo, et al.. (2024). Exploring bacterial diversity and antimicrobial resistance gene on a southern Brazilian swine farm. Environmental Pollution. 352. 124146–124146. 1 indexed citations
4.
Grisci, Bruno Iochins, et al.. (2024). Analysis and comparison of feature selection methods towards performance and stability. Expert Systems with Applications. 249. 123667–123667. 38 indexed citations
5.
Carbonera, Leonardo Augusto, Gillian Gordon Perue, Ana Cláudia de Souza, et al.. (2024). The MAPSTROKE project: A computational strategy to improve access to acute stroke care. International Journal of Stroke. 19(7). 747–753. 2 indexed citations
6.
Krause, Mathias J., et al.. (2024). Molecular Basis of MC1R Activation: Mutation‐Induced Alterations in Structural Dynamics. Proteins Structure Function and Bioinformatics. 92(11). 1297–1307. 1 indexed citations
7.
Dorn, Márcio, et al.. (2024). Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data. Expert Systems with Applications. 255. 124518–124518. 15 indexed citations
8.
Krause, Mathias J., et al.. (2023). Meta-analyses of host metagenomes from colorectal cancer patients reveal strong relationship between colorectal cancer-associated species. Molecular Omics. 19(5). 429–444. 3 indexed citations
9.
Dorn, Márcio, et al.. (2023). Functional response of microbial communities in lab-controlled oil-contaminated marine sediment. Molecular Omics. 19(10). 756–768. 1 indexed citations
10.
Dorn, Márcio, et al.. (2023). Implicit propagation of directly addressed grids in lattice Boltzmann methods. Concurrency and Computation Practice and Experience. 35(8). 10 indexed citations
11.
Krause, Mathias J., et al.. (2023). The nucleotide excision repair proteins through the lens of molecular dynamics simulations. DNA repair. 127. 103510–103510. 4 indexed citations
12.
Dorn, Márcio, et al.. (2023). Ancestry resolution of South Brazilians by forensic 165 ancestry-informative SNPs panel. Forensic Science International Genetics. 64. 102838–102838. 3 indexed citations
13.
Dorn, Márcio, et al.. (2022). Interdisciplinary Overview of Lipopeptide and Protein-Containing Biosurfactants. Genes. 14(1). 76–76. 17 indexed citations
14.
Feltes, Bruno César, et al.. (2022). Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions. Journal of Biomedical Informatics. 129. 104053–104053. 1 indexed citations
15.
Carli, Sílvia De, et al.. (2022). Genetic and molecular Omp25 analyses from worldwide Brucella canis strains: Possible mutational influences in protein function. Gene. 817. 146175–146175. 1 indexed citations
16.
Feltes, Bruno César, et al.. (2021). Benchmarking and Testing Machine Learning Approaches with BARRA:CuRDa, a Curated RNA-Seq Database for Cancer Research. Journal of Computational Biology. 28(9). 931–944. 9 indexed citations
17.
Feltes, Bruno César, et al.. (2021). Evaluation of drug repositioning by molecular docking of pharmaceutical resources available in the Brazilian healthcare system against SARS-CoV-2. Informatics in Medicine Unlocked. 23. 100539–100539. 19 indexed citations
18.
Feltes, Bruno César, et al.. (2018). Perspectives and applications of machine learning for evolutionary developmental biology. Molecular Omics. 14(5). 289–306. 9 indexed citations
19.
20.
Grisci, Bruno Iochins, et al.. (2015). APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. Computational Biology and Chemistry. 59. 142–157. 34 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 Wei‐Chun Kao Breakdown of academic impact, for papers by Zheng Rong Yang Breakdown of academic impact, for papers by Liwei Li Breakdown of academic impact, for papers by Yusen Zhang Breakdown of academic impact, for papers by Zhirong Sun Breakdown of academic impact, for papers by Gary B. Fogel Breakdown of academic impact, for papers by Zhenqiang Su Breakdown of academic impact, for papers by Lanqing Li Breakdown of academic impact, for papers by Joe G. Greener
Rankless by CCL
2026