Jesús Espinal‐Enríquez

1.4k total citations
58 papers, 882 citations indexed

About

Jesús Espinal‐Enríquez is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jesús Espinal‐Enríquez has authored 58 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jesús Espinal‐Enríquez's work include Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (20 papers) and Gene Regulatory Network Analysis (14 papers). Jesús Espinal‐Enríquez is often cited by papers focused on Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (20 papers) and Gene Regulatory Network Analysis (14 papers). Jesús Espinal‐Enríquez collaborates with scholars based in Mexico, United States and Chile. Jesús Espinal‐Enríquez's co-authors include Enrique Hernández–Lemus, Guillermo de Anda‐Jáuregui, Miguel Angel García-Campos, Cristóbal Fresno, Diana Drago-García, Hernán Larralde, Santiago Sandoval‐Motta, Rodrigo García-Herrera, Carmen Mejía and Alberto Darszon and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jesús Espinal‐Enríquez

54 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesús Espinal‐Enríquez Mexico 19 672 163 115 114 89 58 882
Shiva Krupa United States 3 986 1.5× 220 1.3× 113 1.0× 191 1.7× 147 1.7× 4 1.2k
Armin Graber Austria 17 507 0.8× 88 0.5× 134 1.2× 135 1.2× 85 1.0× 44 854
Kira Anthony Canada 4 967 1.4× 186 1.1× 85 0.7× 191 1.7× 109 1.2× 6 1.2k
Igor Rodchenkov Canada 8 959 1.4× 131 0.8× 41 0.4× 176 1.5× 69 0.8× 10 1.1k
Jialiang Huang China 19 1.1k 1.6× 135 0.8× 64 0.6× 156 1.4× 80 0.9× 51 1.4k
Lana X. Garmire United States 4 588 0.9× 157 1.0× 86 0.7× 34 0.3× 43 0.5× 5 802
Rebecca Tagett United States 16 746 1.1× 315 1.9× 68 0.6× 63 0.6× 163 1.8× 33 1.1k
Xiaohong Jing United States 14 515 0.8× 244 1.5× 48 0.4× 101 0.9× 75 0.8× 24 898
Anders Riutta United States 4 583 0.9× 133 0.8× 79 0.7× 78 0.7× 73 0.8× 6 842
Ryan A. Miller United States 6 576 0.9× 134 0.8× 85 0.7× 77 0.7× 72 0.8× 16 856

Countries citing papers authored by Jesús Espinal‐Enríquez

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Espinal‐Enríquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús Espinal‐Enríquez. 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 Jesús Espinal‐Enríquez. The network helps show where Jesús Espinal‐Enríquez may publish in the future.

Co-authorship network of co-authors of Jesús Espinal‐Enríquez

This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Espinal‐Enríquez. A scholar is included among the top collaborators of Jesús Espinal‐Enríquez 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 Jesús Espinal‐Enríquez. Jesús Espinal‐Enríquez 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.
Padilla-Longoria, Pablo, et al.. (2025). Explosive synchronization driven by repulsive higher-order interactions in coupled neurons. Chaos Solitons & Fractals. 196. 116368–116368. 2 indexed citations
2.
Padilla-Longoria, Pablo, et al.. (2024). Neuron configuration enhances the synchronization dynamics in ring networks with heterogeneous firing patterns. Chaos Solitons & Fractals. 187. 115461–115461. 5 indexed citations
3.
Sánchez‐Sánchez, Luis, et al.. (2024). Antitumoral and Antimetastatic Activity by Mixed Chelate Copper(II) Compounds (Casiopeínas®) on Triple-Negative Breast Cancer, In Vitro and In Vivo Models. International Journal of Molecular Sciences. 25(16). 8803–8803. 5 indexed citations
4.
Ponce‐Cusi, Richard, et al.. (2024). Single-Sample Networks Reveal Intra-Cytoband Co-Expression Hotspots in Breast Cancer Subtypes. International Journal of Molecular Sciences. 25(22). 12163–12163.
5.
Espinal‐Enríquez, Jesús, et al.. (2023). Pseudogenes in Cancer: State of the Art. Cancers. 15(16). 4024–4024. 12 indexed citations
6.
Hernández–Lemus, Enrique, et al.. (2023). CNVs in 8q24.3 do not influence gene co-expression in breast cancer subtypes. Frontiers in Genetics. 14. 1141011–1141011. 4 indexed citations
7.
Espinal‐Enríquez, Jesús, et al.. (2023). The network structure of hematopoietic cancers. Scientific Reports. 13(1). 19837–19837. 5 indexed citations
8.
Hernández–Lemus, Enrique, et al.. (2022). The Role of Copy Number Variants in Gene Co-Expression Patterns for Luminal B Breast Tumors. Frontiers in Genetics. 13. 806607–806607. 7 indexed citations
9.
Hernández–Lemus, Enrique, et al.. (2021). k-core genes underpin structural features of breast cancer. Scientific Reports. 11(1). 16284–16284. 12 indexed citations
10.
Anda‐Jáuregui, Guillermo de, Jesús Espinal‐Enríquez, & Enrique Hernández–Lemus. (2021). Highly connected, non-redundant microRNA functional control in breast cancer molecular subtypes. Interface Focus. 11(4). 20200073–20200073. 5 indexed citations
11.
Espinal‐Enríquez, Jesús, et al.. (2021). Loss of Long Distance Co-Expression in Lung Cancer. Frontiers in Genetics. 12. 625741–625741. 20 indexed citations
12.
Hernández–Lemus, Enrique, et al.. (2021). Gene Co-Expression in Breast Cancer: A Matter of Distance. Frontiers in Oncology. 11. 726493–726493. 7 indexed citations
13.
Anda‐Jáuregui, Guillermo de, et al.. (2020). Gene Co-expression Is Distance-Dependent in Breast Cancer. Frontiers in Oncology. 10. 1232–1232. 24 indexed citations
14.
Anda‐Jáuregui, Guillermo de, Jesús Espinal‐Enríquez, Santiago Sandoval‐Motta, & Enrique Hernández–Lemus. (2019). A Boolean Network Approach to Estrogen Transcriptional Regulation. Complexity. 2019(1). 3 indexed citations
15.
Espinal‐Enríquez, Jesús, et al.. (2018). The Hierarchical Modular Structure of HER2+ Breast Cancer Network. Frontiers in Physiology. 9. 1423–1423. 21 indexed citations
16.
Anda‐Jáuregui, Guillermo de, Jesús Espinal‐Enríquez, Diana Drago-García, & Enrique Hernández–Lemus. (2018). Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks. International Journal of Genomics. 2018. 1–10. 18 indexed citations
17.
Espinal‐Enríquez, Jesús, Cristóbal Fresno, Guillermo de Anda‐Jáuregui, & Enrique Hernández–Lemus. (2017). RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer. Scientific Reports. 7(1). 1760–1760. 39 indexed citations
18.
Espinal‐Enríquez, Jesús, et al.. (2017). The Transcriptional Network Structure of a Myeloid Cell: A Computational Approach. International Journal of Genomics. 2017. 1–12. 6 indexed citations
19.
Espinal‐Enríquez, Jesús & Hernán Larralde. (2015). Analysis of México’s Narco-War Network (2007–2011). PLoS ONE. 10(5). e0126503–e0126503. 20 indexed citations
20.
Espinal‐Enríquez, Jesús, et al.. (2015). Genome-wide expression analysis suggests a crucial role of dysregulation of matrix metalloproteinases pathway in undifferentiated thyroid carcinoma. BMC Genomics. 16(1). 207–207. 27 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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