Antonio Mora

742 total citations
21 papers, 405 citations indexed

About

Antonio Mora is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Antonio Mora has authored 21 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Antonio Mora's work include Bioinformatics and Genomic Networks (13 papers), Single-cell and spatial transcriptomics (4 papers) and Epigenetics and DNA Methylation (4 papers). Antonio Mora is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Single-cell and spatial transcriptomics (4 papers) and Epigenetics and DNA Methylation (4 papers). Antonio Mora collaborates with scholars based in China, United Arab Emirates and United States. Antonio Mora's co-authors include Ian Donaldson, Odd S. Gabrielsen, Ragnhild Eskeland, Geir Kjetil Sandve, Nazar Zaki, Xuri Li, Qin Jiang, Bingbing Xie, Enrico Capobianco and Caterina Cinti and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Antonio Mora

21 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio Mora China	10	296	50	44	32	31	21	405
Gregor Warsow Germany	10	188 0.6×	48 1.0×	55 1.3×	21 0.7×	26 0.8×	13	330
Sai Mukund Ramakrishnan United States	11	367 1.2×	62 1.2×	105 2.4×	46 1.4×	65 2.1×	27	584
Yu Liang China	7	143 0.5×	94 1.9×	19 0.4×	39 1.2×	45 1.5×	14	326
Yiqian Zhang China	13	336 1.1×	145 2.9×	32 0.7×	53 1.7×	62 2.0×	30	508
Ally Perlina United States	10	261 0.9×	99 2.0×	15 0.3×	56 1.8×	37 1.2×	11	427
Wenqiang Gan China	13	259 0.9×	72 1.4×	20 0.5×	64 2.0×	77 2.5×	23	423
Xingxin Pan United States	7	207 0.7×	53 1.1×	16 0.4×	16 0.5×	17 0.5×	13	276
Gang Yao China	12	278 0.9×	50 1.0×	16 0.4×	38 1.2×	19 0.6×	26	382
Emmy Chatzigianni Greece	9	177 0.6×	35 0.7×	22 0.5×	50 1.6×	17 0.5×	14	336
Yuping Xu China	6	137 0.5×	36 0.7×	8 0.2×	21 0.7×	16 0.5×	13	286

Countries citing papers authored by Antonio Mora

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Mora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Mora

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

All Works

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20 of 20 papers shown

Li, Xuri, et al.. (2023). A Comparison of Cell-Cell Interaction Prediction Tools Based on scRNA-seq Data. Biomolecules. 13(8). 1211–1211. 8 indexed citations

Zhang, Jianing, Wanhong Li, Zhen Xiong, et al.. (2023). PDGF-D-induced immunoproteasome activation and cell-cell interactions. Computational and Structural Biotechnology Journal. 21. 2405–2418. 5 indexed citations

Lu, Weisi, Peipei Xu, Jianing Zhang, et al.. (2022). PDGFD switches on stem cell endothelial commitment. Angiogenesis. 25(4). 517–533. 7 indexed citations

Mora, Antonio, et al.. (2022). Chromatin Hubs: A biological and computational outlook. Computational and Structural Biotechnology Journal. 20. 3796–3813. 9 indexed citations

Xie, Bingbing, Qin Jiang, Antonio Mora, & Xuri Li. (2021). Automatic cell type identification methods for single-cell RNA sequencing. Computational and Structural Biotechnology Journal. 19. 5874–5887. 35 indexed citations

Mora, Antonio, et al.. (2021). Popularity and performance of bioinformatics software: the case of gene set analysis. BMC Bioinformatics. 22(1). 191–191. 24 indexed citations

Mora, Antonio, et al.. (2020). GREG—studying transcriptional regulation using integrative graph databases. Database. 2020. 6 indexed citations

Mora, Antonio. (2019). Gene set analysis methods for the functional interpretation of non-mRNA data—Genomic range and ncRNA data. Briefings in Bioinformatics. 21(5). 1495–1508. 7 indexed citations

Molina, Pablo, Sandra Beltrán, María Dolores Molina Vila, et al.. (2018). SP470RELATIONSHIP BETWEEN PREDICTIVE KT/V AND CALCULATED KT/V ACHIEVED WITH NXSTAGE CYCLER IN SHORT-DAILY HOME HEMODIALYSIS PATIENTS. Nephrology Dialysis Transplantation. 33(suppl_1). i505–i506. 1 indexed citations

10.

Molina, Pablo, María Dolores Molina Vila, Sandra Beltrán, et al.. (2017). The effect of high-volume online haemodiafiltration on nutritional status and body composition: the ProtEin Stores prEservaTion (PESET) study. Nephrology Dialysis Transplantation. 33(7). 1223–1235. 47 indexed citations

11.

Zaki, Nazar, Elfadil A. Mohamed, & Antonio Mora. (2015). Characterization of Protein Complexes and Subcomplexes in Protein-Protein Interaction Databases. Biochemistry Research International. 2015. 1–12. 1 indexed citations

12.

Mora, Antonio, et al.. (2015). Epigenetically driven network cooperativity: meta-analysis in multi-drug resistant osteosarcoma. Journal of Complex Networks. 4(2). 296–317. 7 indexed citations

13.

Mora, Antonio, Geir Kjetil Sandve, Odd S. Gabrielsen, & Ragnhild Eskeland. (2015). In the loop: promoter–enhancer interactions and bioinformatics. Briefings in Bioinformatics. 17(6). bbv097–bbv097. 87 indexed citations

14.

Mora, Antonio, et al.. (2014). Ensemble inference by integrative cancer networks. Frontiers in Genetics. 5. 59–59. 9 indexed citations

15.

Capobianco, Enrico, Antonio Mora, Dario La Sala, et al.. (2014). Separate and Combined Effects of DNMT and HDAC Inhibitors in Treating Human Multi-Drug Resistant Osteosarcoma HosDXR150 Cell Line. PLoS ONE. 9(4). e95596–e95596. 42 indexed citations

16.

Zaki, Nazar & Antonio Mora. (2014). A comparative analysis of computational approaches and algorithms for protein subcomplex identification. Scientific Reports. 4(1). 4262–4262. 11 indexed citations

17.

Mora, Antonio, Katerina Michalickova, & Ian Donaldson. (2013). A survey of protein interaction data and multigenic inherited disorders. BMC Bioinformatics. 14(1). 47–47. 2 indexed citations

18.

Mora, Antonio & Ian Donaldson. (2012). Effects of protein interaction data integration, representation and reliability on the use of network properties for drug target prediction. BMC Bioinformatics. 13(1). 294–294. 18 indexed citations

19.

Mora, Antonio & Ian Donaldson. (2011). iRefR: an R package to manipulate the iRefIndex consolidated protein interaction database. BMC Bioinformatics. 12(1). 455–455. 63 indexed citations

20.

Razick, Sabry, Antonio Mora, Katerina Michalickova, Paul Boddie, & Ian Donaldson. (2011). iRefScape. A Cytoscape plug-in for visualization and data mining of protein interaction data from iRefIndex. BMC Bioinformatics. 12(1). 388–388. 14 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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