Julio Vera

5.6k total citations · 1 hit paper
138 papers, 3.2k citations indexed

About

Julio Vera is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Julio Vera has authored 138 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 32 papers in Cancer Research and 25 papers in Oncology. Recurrent topics in Julio Vera's work include MicroRNA in disease regulation (27 papers), Gene Regulatory Network Analysis (23 papers) and Bioinformatics and Genomic Networks (18 papers). Julio Vera is often cited by papers focused on MicroRNA in disease regulation (27 papers), Gene Regulatory Network Analysis (23 papers) and Bioinformatics and Genomic Networks (18 papers). Julio Vera collaborates with scholars based in Germany, Spain and South Africa. Julio Vera's co-authors include Olaf Wolkenhauer, Xin Lai, Ulf Schmitz, Martin Eberhardt, Shailendra K. Gupta, Néstor V. Torres, Manfred Kunz, Brigitte M. Pützer, Le Zhang and Svetoslav Nikolov and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Julio Vera

133 papers receiving 3.1k citations

Hit Papers

align trajectories

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.

Artificial intelligence in cancer target identification and drug discovery

2022 236 citations Xin Lai, Julio Vera et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julio Vera Germany	31	2.2k	954	399	368	200	138	3.2k
Sujun Hua United States	13	2.8k 1.3×	1.2k 1.3×	564 1.4×	194 0.5×	180 0.9×	14	3.7k
Mukesh Bansal United States	25	2.9k 1.3×	969 1.0×	452 1.1×	224 0.6×	199 1.0×	59	3.7k
Lili Liu China	34	2.6k 1.2×	693 0.7×	643 1.6×	185 0.5×	139 0.7×	140	3.6k
Keunsoo Kang South Korea	31	2.2k 1.0×	640 0.7×	618 1.5×	612 1.7×	245 1.2×	149	3.7k
Pedro Carmona‐Sáez Spain	24	1.7k 0.8×	562 0.6×	272 0.7×	331 0.9×	102 0.5×	62	2.7k
Kristina Hanspers United States	19	2.3k 1.1×	450 0.5×	210 0.5×	246 0.7×	255 1.3×	25	3.1k
Sol Efroni Israel	27	1.7k 0.8×	419 0.4×	371 0.9×	628 1.7×	105 0.5×	76	2.8k
А. Г. Соболева Russia	13	2.3k 1.0×	542 0.6×	252 0.6×	359 1.0×	148 0.7×	48	3.1k
Bin Chen China	30	1.6k 0.7×	578 0.6×	489 1.2×	185 0.5×	167 0.8×	137	2.8k
Guanming Wu United States	23	3.1k 1.4×	682 0.7×	417 1.0×	252 0.7×	404 2.0×	46	3.9k

Countries citing papers authored by Julio Vera

Since Specialization

Citations

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

Fields of papers citing papers by Julio Vera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julio Vera

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

David, Paul, Susanne Merkel, Andreas Gießl, et al.. (2025). Exosomal CD40, CD25, and Serum CA19-9 as Combinatory Novel Liquid Biopsy Biomarker for the Diagnosis and Prognosis of Patients with Pancreatic Ductal Adenocarcinoma. International Journal of Molecular Sciences. 26(4). 1500–1500. 2 indexed citations

Liguori, Renato, Alessandra Marnie Martins Gomes de Castro, Stefan Schliep, et al.. (2025). Checkpoint Blockade Efficacy in Uveal Melanoma Is Linked to Tumor Immunity, CD28, and CCL8. International Journal of Molecular Sciences. 26(20). 9964–9964.

Spitschak, Alf, Krishna P. Singh, Rosaely Casalegno‐Garduño, et al.. (2024). E2F1-induced autocrine IL-6 inflammatory loop mediates cancer-immune crosstalk that predicts T cell phenotype switching and therapeutic responsiveness. Frontiers in Immunology. 15. 1470368–1470368. 3 indexed citations

Lai, Xin, et al.. (2023). Integration of transcriptomics data into agent-based models of solid tumor metastasis. Computational and Structural Biotechnology Journal. 21. 1930–1941. 6 indexed citations

Petzold, Anne, Theresa Steeb, Anja Wessely, et al.. (2023). Is tebentafusp superior to combined immune checkpoint blockade and other systemic treatments in metastatic uveal melanoma? A comparative efficacy analysis with population adjustment. Cancer Treatment Reviews. 115. 102543–102543. 18 indexed citations

Schmitt, Christina, Esmée P. Hoefsmit, Thomas Fangmeier, et al.. (2023). Immune checkpoint inhibitor-induced neurotoxicity is not associated with seroprevalence of neurotropic infections. Cancer Immunology Immunotherapy. 72(11). 3475–3489. 5 indexed citations

Lee, Jung‐Hyun, Martin Eberhardt, Katja Blume, Julio Vera, & Andreas S. Baur. (2020). Evidence for liver and peripheral immune cells secreting tumor-suppressive extracellular vesicles in melanoma patients. EBioMedicine. 62. 103119–103119. 8 indexed citations

Lee, Jung‐Hyun, Martin Eberhardt, Xin Lai, et al.. (2019). Innate extracellular vesicles from melanoma patients suppress β-catenin in tumor cells by miRNA-34a. Life Science Alliance. 2(2). e201800205–e201800205. 21 indexed citations

Jadasz, Janusz, Jessica Schira‐Heinen, Janos Groh, et al.. (2019). Heterogeneous fate choice of genetically modulated adult neural stem cells in gray and white matter of the central nervous system. Glia. 68(2). 393–406. 3 indexed citations

10.

Paul, Sushmita, et al.. (2017). Identification of miRNA-mRNA Modules in Colorectal Cancer Using Rough Hypercuboid Based Supervised Clustering. Scientific Reports. 7(1). 42809–42809. 10 indexed citations

11.

Paul, Sushmita & Julio Vera. (2015). Rough hypercuboid based supervised clustering of miRNAs. Molecular BioSystems. 11(7). 2068–2081. 4 indexed citations

12.

Vera, Julio, Ulf Schmitz, Xin Lai, et al.. (2013). Kinetic Modeling–Based Detection of Genetic Signatures That Provide Chemoresistance via the E2F1-p73/DNp73-miR-205 Network. Cancer Research. 73(12). 3511–3524. 43 indexed citations

13.

Nikolov, Svetoslav, Olaf Wolkenhauer, & Julio Vera. (2013). Tumors as chaotic attractors. Molecular BioSystems. 10(2). 172–179. 15 indexed citations

14.

Schmitz, Ulf, Olaf Wolkenhauer, & Julio Vera. (2013). MicroRNA Cancer Regulation: Advanced Concepts, Bioinformatics and Systems Biology Tools. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 11 indexed citations

15.

Schmitz, Ulf, et al.. (2012). Analysis of cell adhesion during early stages of colon cancer based on an extended multi-valued logic approach. Molecular BioSystems. 8(4). 1230–1242. 13 indexed citations

16.

Vera, Julio, Oliver Rath, Eva Balsa‐Canto, et al.. (2010). Investigating dynamics of inhibitory and feedback loops in ERK signalling using power-law models. Molecular BioSystems. 6(11). 2174–2191. 18 indexed citations

17.

Pandey, Rakesh, Shipra Gupta, Sudeep Tandon, et al.. (2010). Baccoside A suppresses epileptic-like seizure/convulsion in Caenorhabditis elegans. Seizure. 19(7). 439–442. 26 indexed citations

18.

Vera, Julio, et al.. (2009). Dynamical effects of epigenetic silencing of 14-3-3σ expression. Molecular BioSystems. 6(1). 264–273. 13 indexed citations

19.

Vera, Julio, Thomas Millat, Walter Kölch, & Olaf Wolkenhauer. (2008). Dynamics of receptor and protein transducer homodimerisation. BMC Systems Biology. 2(1). 92–92. 8 indexed citations

20.

Vera, Julio, Eva Balsa‐Canto, P.E. Wellstead, Julio R. Banga, & Olaf Wolkenhauer. (2007). Power-law models of signal transduction pathways. Cellular Signalling. 19(7). 1531–1541. 60 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.

Explore authors with similar magnitude of impact