Daniel Ruiz-Perez

642 total citations · 1 hit paper
10 papers, 396 citations indexed

About

Daniel Ruiz-Perez is a scholar working on Molecular Biology, Microbiology and Analytical Chemistry. According to data from OpenAlex, Daniel Ruiz-Perez has authored 10 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Microbiology and 2 papers in Analytical Chemistry. Recurrent topics in Daniel Ruiz-Perez's work include Gut microbiota and health (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Bioinformatics and Genomic Networks (4 papers). Daniel Ruiz-Perez is often cited by papers focused on Gut microbiota and health (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Bioinformatics and Genomic Networks (4 papers). Daniel Ruiz-Perez collaborates with scholars based in United States, South Korea and Argentina. Daniel Ruiz-Perez's co-authors include Giri Narasimhan, Kalai Mathee, Purnima Madhivanan, Haibin Guan, Jose Lugo-Martinez, Ziv Bar‐Joseph, Natalia Bourguignon, Trevor Cickovski, Hansi Kumari and Jane R. Schwebke and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and BMC Genomics.

In The Last Decade

Daniel Ruiz-Perez

10 papers receiving 392 citations

Hit Papers

So you think you can PLS-DA? 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. So you think you can PLS-DA?
    2020 260 citations Daniel Ruiz-Perez, Haibin Guan et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ruiz-Perez United States 7 219 72 49 35 30 10 396
Xiaoxiao Wu China 9 141 0.6× 37 0.5× 35 0.7× 38 1.1× 7 0.2× 24 311
Mengmeng Sun China 17 350 1.6× 32 0.4× 39 0.8× 60 1.7× 17 0.6× 78 818
Yu Duan China 13 153 0.7× 39 0.5× 18 0.4× 45 1.3× 9 0.3× 51 501
Hanne Winning Denmark 7 157 0.7× 80 1.1× 70 1.4× 77 2.2× 15 0.5× 7 353
Ulf W. Liebal Germany 10 314 1.4× 23 0.3× 101 2.1× 19 0.5× 10 0.3× 20 407
Mónica Narváez-Rivas Spain 14 206 0.9× 46 0.6× 111 2.3× 99 2.8× 4 0.1× 34 588
Jia Jia China 14 334 1.5× 17 0.2× 36 0.7× 54 1.5× 5 0.2× 25 484
Saad A. Syed Canada 9 282 1.3× 19 0.3× 12 0.2× 25 0.7× 9 0.3× 12 604
Wenhua Tong China 9 192 0.9× 44 0.6× 57 1.2× 91 2.6× 16 0.5× 21 402
Bruno Ebel France 12 259 1.2× 47 0.7× 75 1.5× 121 3.5× 45 1.5× 22 432

Countries citing papers authored by Daniel Ruiz-Perez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ruiz-Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ruiz-Perez. 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 Daniel Ruiz-Perez. The network helps show where Daniel Ruiz-Perez may publish in the future.

Co-authorship network of co-authors of Daniel Ruiz-Perez

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

All Works

10 of 10 papers shown
1.
Ruiz-Perez, Daniel, et al.. (2024). Unfolding and de-confounding: biologically meaningful causal inference from longitudinal multi-omic networks using METALICA. mSystems. 9(10). e0130323–e0130323. 1 indexed citations
2.
Valdes, Camilo, Vitalii Stebliankin, Daniel Ruiz-Perez, et al.. (2023). Microbiome maps: Hilbert curve visualizations of metagenomic profiles. SHILAP Revista de lepidopterología. 3. 2 indexed citations
3.
Ruiz-Perez, Daniel, Jose Lugo-Martinez, Natalia Bourguignon, et al.. (2021). Dynamic Bayesian Networks for Integrating Multi-omics Time Series Microbiome Data. mSystems. 6(2). 37 indexed citations
4.
Ruiz-Perez, Daniel, Makella Coudray, Karl Krupp, et al.. (2021). Effect of metronidazole on vaginal microbiota associated with asymptomatic bacterial vaginosis. Access Microbiology. 3(5). 226–226. 6 indexed citations
5.
Mathee, Kalai, et al.. (2020). Inferring directional relationships in microbial communities using signed Bayesian networks. BMC Genomics. 21(S6). 663–663. 16 indexed citations
6.
Ruiz-Perez, Daniel, Haibin Guan, Purnima Madhivanan, Kalai Mathee, & Giri Narasimhan. (2020). So you think you can PLS-DA?. BMC Bioinformatics. 21(S1). 2–2. 260 indexed citations breakdown →
7.
Madhivanan, Purnima, Makella Coudray, Daniel Ruiz-Perez, et al.. (2020). Composition of the Vaginal Microbiome Associated with High Risk HPV Infection and Increased Risk for Cervical Cancer. Cancer Epidemiology Biomarkers & Prevention. 29(3). 696–696. 1 indexed citations
8.
Lugo-Martinez, Jose, Daniel Ruiz-Perez, Giri Narasimhan, & Ziv Bar‐Joseph. (2019). Dynamic interaction network inference from longitudinal microbiome data. Microbiome. 7(1). 54–54. 56 indexed citations
9.
Ruiz-Perez, Daniel, et al.. (2018). Inferring Relationships in Microbiomes from Signed Bayesian Networks. 19. 1–1. 7 indexed citations
10.
Ruiz-Perez, Daniel, Haibin Guan, Purnima Madhivanan, Kalai Mathee, & Giri Narasimhan. (2018). So you think you can PLS-DA?. 1–1. 10 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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