Francisco J. Enguita

5.1k total citations
118 papers, 3.2k citations indexed

About

Francisco J. Enguita is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Francisco J. Enguita has authored 118 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 37 papers in Cancer Research and 14 papers in Plant Science. Recurrent topics in Francisco J. Enguita's work include MicroRNA in disease regulation (29 papers), Circular RNAs in diseases (20 papers) and Cancer-related molecular mechanisms research (19 papers). Francisco J. Enguita is often cited by papers focused on MicroRNA in disease regulation (29 papers), Circular RNAs in diseases (20 papers) and Cancer-related molecular mechanisms research (19 papers). Francisco J. Enguita collaborates with scholars based in Portugal, Spain and United Kingdom. Francisco J. Enguita's co-authors include Ana Lúcia Leitão, M.A. Carrondo, Marina C. Costa, Lı́gia O. Martins, Adriano O. Henriques, Ewa Stępień, Paloma Liras, João Victor Del Conti Esteves, Ubiratan Fabres Machado and Juan F. Martı́n and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Francisco J. Enguita

118 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco J. Enguita Portugal 29 1.7k 805 605 281 221 118 3.2k
Elke Hammer Germany 36 1.8k 1.0× 263 0.3× 810 1.3× 464 1.7× 374 1.7× 186 4.4k
Xianghong Wang China 35 2.0k 1.1× 301 0.4× 492 0.8× 277 1.0× 82 0.4× 140 3.7k
Min Yin China 33 1.5k 0.9× 532 0.7× 369 0.6× 99 0.4× 142 0.6× 136 3.2k
Jia Jia China 32 1.9k 1.1× 391 0.5× 533 0.9× 203 0.7× 74 0.3× 303 4.4k
Xia Wang China 38 3.3k 1.9× 1.2k 1.5× 404 0.7× 89 0.3× 115 0.5× 200 5.0k
Mei Shi China 30 1.4k 0.8× 260 0.3× 440 0.7× 223 0.8× 222 1.0× 93 2.4k
Zhong Yao China 37 2.1k 1.2× 228 0.3× 322 0.5× 472 1.7× 87 0.4× 159 4.2k
Xin Liu China 33 2.0k 1.2× 344 0.4× 351 0.6× 69 0.2× 96 0.4× 153 3.8k
Wenjing Zhang China 34 2.0k 1.1× 387 0.5× 373 0.6× 109 0.4× 125 0.6× 173 3.5k
Lei Fang China 39 2.9k 1.7× 1.1k 1.3× 382 0.6× 98 0.3× 120 0.5× 251 5.4k

Countries citing papers authored by Francisco J. Enguita

Since Specialization
Citations

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

Fields of papers citing papers by Francisco J. Enguita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco J. Enguita. 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 Francisco J. Enguita. The network helps show where Francisco J. Enguita may publish in the future.

Co-authorship network of co-authors of Francisco J. Enguita

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco J. Enguita. A scholar is included among the top collaborators of Francisco J. Enguita 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 Francisco J. Enguita. Francisco J. Enguita 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.
Leitão, Ana Lúcia & Francisco J. Enguita. (2025). The Unpaved Road of Non-Coding RNA Structure–Function Relationships: Current Knowledge, Available Methodologies, and Future Trends. Non-Coding RNA. 11(2). 20–20. 2 indexed citations
2.
Galeano, Diego, Jeffrey Haltom, Victoria Zaksas, et al.. (2024). sChemNET: a deep learning framework for predicting small molecules targeting microRNA function. Nature Communications. 15(1). 9149–9149. 6 indexed citations
3.
Costa, Marina C., Daniel Caldeira, Rui Plácido, et al.. (2024). Role of myocardial microRNAs in the long-term ventricular remodelling of patients with aortic stenosis. European Heart Journal Open. 4(4). oeae060–oeae060. 1 indexed citations
4.
Kim, JangKeun, Francisco J. Enguita, Joseph W. Guarnieri, et al.. (2024). To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infants. Communications Biology. 7(1). 1268–1268. 4 indexed citations
5.
Enguita, Francisco J., et al.. (2024). Verification of nucleotide sequence reagent identities in original publications in high impact factor cancer research journals. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(7). 5049–5066. 4 indexed citations
6.
7.
Narayanan, S, Joseph W. Guarnieri, Victoria Zaksas, et al.. (2023). A comprehensive SARS-CoV-2 and COVID-19 review, Part 2: host extracellular to systemic effects of SARS-CoV-2 infection. European Journal of Human Genetics. 32(1). 10–20. 23 indexed citations
8.
Lim, Xin Ni, Francisco J. Enguita, Nuno C. Santos, et al.. (2023). Dengue Virus Capsid Protein Facilitates Genome Compaction and Packaging. International Journal of Molecular Sciences. 24(9). 8158–8158. 6 indexed citations
9.
10.
Amado, Tiago, Ana Amorim, Francisco J. Enguita, et al.. (2020). MicroRNA-181a regulates IFN-γ expression in effector CD8+ T cell differentiation. Journal of Molecular Medicine. 98(2). 309–320. 23 indexed citations
11.
Wang, Houlei, Huiren Wang, Yun Liang, et al.. (2020). Hsa_circ_0006571 promotes spinal metastasis through sponging microRNA-138 to regulate sirtuin 1 expression in lung adenocarcinoma. Translational Lung Cancer Research. 9(6). 2411–2427. 18 indexed citations
12.
Leitão, Ana Lúcia, et al.. (2020). Interspecies Communication in Holobionts by Non-Coding RNA Exchange. International Journal of Molecular Sciences. 21(7). 2333–2333. 18 indexed citations
13.
Costa, Marina C., et al.. (2019). Si vis pacem para bellum: A prospective in silico analysis of miRNA-based plant defenses against fungal infections. Plant Science. 288. 110241–110241. 4 indexed citations
14.
Badacz, Rafał, Ewa Stępień, Francisco J. Enguita, et al.. (2018). Diagnostic and prognostic micro-RNAs in ischaemic stroke due to carotid artery stenosis and in acute coronary syndrome: a four-year prospective study. Kardiologia Polska. 76(2). 362–369. 37 indexed citations
15.
Esteves, João Victor Del Conti, Francisco J. Enguita, & Ubiratan Fabres Machado. (2017). MicroRNAs-Mediated Regulation of Skeletal Muscle GLUT4 Expression and Translocation in Insulin Resistance. Journal of Diabetes Research. 2017. 1–11. 86 indexed citations
16.
Napoleão, Patrícia, Mafalda Selas, Maria do Céu Monteiro, et al.. (2016). Stratification of ST-elevation myocardial infarction patients based on soluble CD40L longitudinal changes. Translational research. 176. 95–104. 10 indexed citations
17.
Kabłak-Ziembicka, Anna, et al.. (2015). Decision-making microRNAs (miR-124, -133a/b, -34a and -134) in patients with occluded target vessel in acute coronary syndrome. Kardiologia Polska. 74(3). 280–288. 40 indexed citations
18.
Martins, Sandra, et al.. (2015). Transcription-coupled RNA surveillance in human genetic diseases caused by splice site mutations. Human Molecular Genetics. 24(10). 2784–2795. 7 indexed citations
19.
Leitão, Ana Lúcia, Marina C. Costa, & Francisco J. Enguita. (2014). A Guide for miRNA Target Prediction and Analysis Using Web-Based Applications. Methods in molecular biology. 1182. 265–277. 11 indexed citations
20.
Enguita, Francisco J., et al.. (1996). An inducible expression system of histidine-tagged proteins inStreptomyces lividansfor one-step purification by Ni2+affinity chromatography. FEMS Microbiology Letters. 137(2-3). 135–140. 9 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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