José P. Pinto

663 total citations
10 papers, 419 citations indexed

About

José P. Pinto is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, José P. Pinto has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in José P. Pinto's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (4 papers) and Gene Regulatory Network Analysis (4 papers). José P. Pinto is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (4 papers) and Gene Regulatory Network Analysis (4 papers). José P. Pinto collaborates with scholars based in Portugal, Sweden and Denmark. José P. Pinto's co-authors include Eugénio C. Ferreira, Isabel Rocha, Miguel Rocha, Kiran Raosaheb Patil, Paulo Maia, Jens Nielsen, Simão Soares, Pedro Evangelista, Paulo Vilaça and Matthias E. Futschik and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and BMC Bioinformatics.

In The Last Decade

José P. Pinto

10 papers receiving 409 citations

Peers

José P. Pinto

MB

BE

CSE

GENET

CTM

Anupam Chowdhury United States

Pedro Evangelista Portugal

Seung Bum Sohn South Korea

Nikolaos Anesiadis Canada

Tolutola Oyetunde United States

Keng Cher Soh Switzerland

Robert Schuetz Switzerland

Amir Pandi France

Abdelhalim Larhlimi Germany

Maja Rey Germany

Anupam Chowdhury United States

José P. Pinto

620 ×1.6

MB

289 ×1.5

BE

34 ×1.4

CSE

44 ×1.9

GENET

12 ×0.8

CTM

Citations per year, relative to José P. Pinto José P. Pinto (= 1×) peers Anupam Chowdhury

Countries citing papers authored by José P. Pinto

Since Specialization

Citations

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

Fields of papers citing papers by José P. Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José P. Pinto. 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 José P. Pinto. The network helps show where José P. Pinto may publish in the future.

Co-authorship network of co-authors of José P. Pinto

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

All Works

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10 of 10 papers shown

1.

Pinto, José P., et al.. (2021). Deep Learning and Multivariate Time Series for Cheat Detection in Video Games. 1–2. 3 indexed citations

2.

Kalathur, Ravi Kiran Reddy, et al.. (2017). HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease. Scientific Reports. 7(1). 5216–5216. 17 indexed citations

3.

Kalathur, Ravi Kiran Reddy, José P. Pinto, Miguel A. Hernández‐Prieto, et al.. (2013). UniHI 7: an enhanced database for retrieval and interactive analysis of human molecular interaction networks. Nucleic Acids Research. 42(D1). D408–D414. 59 indexed citations

4.

Pinto, José P., et al.. (2013). TNA4OptFlux – a software tool for the analysis of strain optimization strategies. BMC Research Notes. 6(1). 175–175. 1 indexed citations

5.

Lourenço, Anália, Sónia Carneiro, José P. Pinto, et al.. (2011). A Study of the Short and Long-term Regulation of E. coli Metabolic Pathways. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 8(3). 195–209. 6 indexed citations

6.

Lourenço, Anália, Sónia Carneiro, José P. Pinto, et al.. (2011). A Study of the Short and Long-term Regulation of E. coli Metabolic Pathways. PubMed. 8(3). 183–183. 4 indexed citations

7.

Rocha, Isabel, Paulo Maia, Pedro Evangelista, et al.. (2010). OptFlux: an open-source software platform for in silico metabolic engineering. BMC Systems Biology. 4(1). 45–45. 260 indexed citations

8.

Rocha, Miguel, Paulo Maia, Rui Mendes, et al.. (2008). Natural computation meta-heuristics for the in silico optimization of microbial strains. BMC Bioinformatics. 9(1). 499–499. 65 indexed citations

9.

Rocha, Miguel, Rui Mendes, Paulo Maia, et al.. (2007). Evaluating simulated annealing algorithms in the optimization of bacterial strains. 4874. 473–484. 2 indexed citations

10.

Rocha, Miguel, José P. Pinto, Isabel Rocha, & Eugénio C. Ferreira. (2007). Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms. 331–337. 2 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.

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