David Jáspez

833 total citations
9 papers, 156 citations indexed

About

David Jáspez is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, David Jáspez has authored 9 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in David Jáspez's work include Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers) and Forensic and Genetic Research (3 papers). David Jáspez is often cited by papers focused on Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers) and Forensic and Genetic Research (3 papers). David Jáspez collaborates with scholars based in Spain, Croatia and Sweden. David Jáspez's co-authors include Ricardo Lebrón, Michael Hackenberg, Juan Antonio Marchal, Ernesto Aparicio‐Puerta, Bastian Fromm, Igor Jurak, José M. Medina, Stavros Giannoukakos, Cristina Gómez‐Martín and José Luis Tejera Oliver and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Human Mutation.

In The Last Decade

David Jáspez

8 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Jáspez Spain	5	117	96	26	15	8	9	156
Trine Skov Petersen Denmark	5	138 1.2×	40 0.4×	28 1.1×	11 0.7×	5 0.6×	6	164
Fanny De Vloed Belgium	3	137 1.2×	30 0.3×	16 0.6×	10 0.7×	5 0.6×	4	169
Marta Lloret-Llinares Denmark	9	279 2.4×	73 0.8×	21 0.8×	37 2.5×	7 0.9×	11	308
Sophie Atkinson United Kingdom	6	221 1.9×	102 1.1×	11 0.4×	20 1.3×	9 1.1×	11	257
Anne Nitsche Germany	6	159 1.4×	141 1.5×	7 0.3×	15 1.0×	9 1.1×	9	194
Susan O. Kim United States	5	198 1.7×	139 1.4×	11 0.4×	10 0.7×	3 0.4×	9	228
Meghali Aich India	4	136 1.2×	46 0.5×	14 0.5×	11 0.7×	6 0.8×	5	147
Risa Karakida Kawaguchi Japan	6	92 0.8×	21 0.2×	22 0.8×	28 1.9×	6 0.8×	14	136
Vamsi Veeramachaneni United States	6	193 1.6×	30 0.3×	58 2.2×	19 1.3×	6 0.8×	11	243
Alberto Díaz‐Talavera Spain	7	173 1.5×	59 0.6×	39 1.5×	11 0.7×	12 1.5×	9	229

Countries citing papers authored by David Jáspez

Since Specialization

Citations

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

Fields of papers citing papers by David Jáspez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Jáspez

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

All Works

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9 of 9 papers shown

Sastre, Leandro, Almudena Corrales, Luis A. Rubio‐Rodríguez, et al.. (2025). A tiered strategy to identify relevant genetic variants in familial pulmonary fibrosis: a proof of concept for the clinical practice. European Journal of Human Genetics. 33(11). 1509–1519. 1 indexed citations

Muñoz‐Barrera, Adrián, Luis A. Rubio‐Rodríguez, David Jáspez, et al.. (2025). Benchmarking of bioinformatics tools for the hybrid de novo assembly of human and non-human whole-genome sequencing data. Computational and Structural Biotechnology Journal. 27. 3099–3109.

Rubio‐Rodríguez, Luis A., Adrián Muñoz‐Barrera, David Jáspez, et al.. (2022). Digging into the admixture strata of current-day Canary Islanders based on mitogenomes. iScience. 26(1). 105907–105907. 5 indexed citations

Muñoz‐Barrera, Adrián, David Jáspez, Luis A. Rubio‐Rodríguez, et al.. (2022). Evaluation of a whole‐exome sequencing pipeline and benchmarking of causal germline variant prioritizers. Human Mutation. 43(12). 2010–2020. 6 indexed citations

Muñoz‐Barrera, Adrián, Luis A. Rubio‐Rodríguez, David Jáspez, et al.. (2022). From Samples to Germline and Somatic Sequence Variation: A Focus on Next-Generation Sequencing in Melanoma Research. Life. 12(11). 1939–1939. 4 indexed citations

Rubio‐Rodríguez, Luis A., Adrián Muñoz‐Barrera, José M. Lorenzo-Salazar, et al.. (2022). Developing CIRdb as a catalog of natural genetic variation in the Canary Islanders. Scientific Reports. 12(1). 16132–16132. 2 indexed citations

Muñoz‐Barrera, Adrián, José M. Lorenzo-Salazar, Carlos Zaragoza‐Trello, et al.. (2021). A benchmarking of human mitochondrial DNA haplogroup classifiers from whole-genome and whole-exome sequence data. Scientific Reports. 11(1). 20510–20510. 7 indexed citations

Aparicio‐Puerta, Ernesto, Ricardo Lebrón, Antonio Rueda, et al.. (2019). sRNAbench and sRNAtoolbox 2019: intuitive fast small RNA profiling and differential expression. Nucleic Acids Research. 47(W1). W530–W535. 117 indexed citations

Aparicio‐Puerta, Ernesto, David Jáspez, Ricardo Lebrón, et al.. (2018). liqDB: a small-RNAseq knowledge discovery database for liquid biopsy studies. Nucleic Acids Research. 47(D1). D113–D120. 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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