Fátima Al‐Shahrour

25.8k total citations · 2 hit papers
100 papers, 6.4k citations indexed

About

Fátima Al‐Shahrour is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Fátima Al‐Shahrour has authored 100 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 25 papers in Cancer Research and 19 papers in Hematology. Recurrent topics in Fátima Al‐Shahrour's work include Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (21 papers) and Cancer Genomics and Diagnostics (17 papers). Fátima Al‐Shahrour is often cited by papers focused on Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (21 papers) and Cancer Genomics and Diagnostics (17 papers). Fátima Al‐Shahrour collaborates with scholars based in Spain, United States and United Kingdom. Fátima Al‐Shahrour's co-authors include Joaquı́n Dopazo, Ramón Díaz‐Uriarte, Pablo Mínguez, Benjamin L. Ebert, David Montaner, Lucía Conde, Juan M. Vaquerizas, Joaquín Tárraga, Eva Alloza and Ignacio Medina and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fátima Al‐Shahrour

99 papers receiving 6.3k citations

Hit Papers

align trajectories sort by overperformance

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.

FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes

2004 876 citations Fátima Al‐Shahrour, Joaquı́n Dopazo et al. Bioinformatics profile →
Bone progenitor dysfunction induces myelodysplasia and secondary leukaemia

2010 798 citations Benjamin L. Ebert, Fátima Al‐Shahrour et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fátima Al‐Shahrour Spain	41	3.9k	1.5k	1.2k	866	837	100	6.4k
Sjaak Philipsen Netherlands	45	6.1k 1.6×	948 0.6×	1.4k 1.1×	716 0.8×	813 1.0×	122	8.2k
Robert Latek United States	17	5.4k 1.4×	496 0.3×	889 0.7×	936 1.1×	509 0.6×	31	7.6k
Jean Mosser France	39	2.8k 0.7×	717 0.5×	1.2k 0.9×	860 1.0×	658 0.8×	115	5.1k
Emery H. Bresnick United States	50	5.8k 1.5×	1.5k 1.0×	902 0.7×	360 0.4×	646 0.8×	161	7.6k
James Palis United States	51	5.2k 1.3×	3.2k 2.1×	1.9k 1.5×	644 0.7×	767 0.9×	156	10.7k
Bo Porse Denmark	46	5.8k 1.5×	1.3k 0.8×	552 0.4×	754 0.9×	1.1k 1.3×	112	7.8k
Yaacov Ben‐David Canada	37	3.4k 0.9×	577 0.4×	430 0.3×	1.2k 1.4×	853 1.0×	130	5.3k
Jude Fitzgibbon United Kingdom	37	1.7k 0.5×	1.3k 0.9×	932 0.7×	965 1.1×	562 0.7×	112	4.2k
Daniel E. Bauer United States	44	7.3k 1.9×	1.2k 0.8×	2.0k 1.6×	890 1.0×	2.0k 2.4×	108	9.4k
Raffaele Calogero Italy	47	5.5k 1.4×	560 0.4×	952 0.8×	1.2k 1.4×	2.2k 2.7×	183	8.3k

Countries citing papers authored by Fátima Al‐Shahrour

Since Specialization

Citations

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

Fields of papers citing papers by Fátima Al‐Shahrour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fátima Al‐Shahrour. 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 Fátima Al‐Shahrour. The network helps show where Fátima Al‐Shahrour may publish in the future.

Co-authorship network of co-authors of Fátima Al‐Shahrour

This figure shows the co-authorship network connecting the top 25 collaborators of Fátima Al‐Shahrour. A scholar is included among the top collaborators of Fátima Al‐Shahrour 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 Fátima Al‐Shahrour. Fátima Al‐Shahrour 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

Nikolski, Macha, Eivind Hovig, Fátima Al‐Shahrour, et al.. (2024). Roadmap for a European cancer data management and precision medicine infrastructure. Nature Cancer. 5(3). 367–372. 3 indexed citations

Pancaldi, Véra, Maria Rigau, Osvaldo Graña‐Castro, et al.. (2022). 3D chromatin connectivity underlies replication origin efficiency in mouse embryonic stem cells. Nucleic Acids Research. 50(21). 12149–12165. 9 indexed citations

Jutzi, Jonas S., Anna E. Marneth, Ángel Guerra-Moreno, et al.. (2022). Whole-genome CRISPR screening identifies N-glycosylation as a genetic and therapeutic vulnerability in CALR-mutant MPNs. Blood. 140(11). 1291–1304. 11 indexed citations

García‐Martín, Santiago, et al.. (2022). Bioinformatics roadmap for therapy selection in cancer genomics. Molecular Oncology. 16(21). 3881–3908. 19 indexed citations

López, Ana Amor, Marina S. Mazariegos, Alessandra Capuano, et al.. (2021). Inactivation of EMILIN-1 by Proteolysis and Secretion in Small Extracellular Vesicles Favors Melanoma Progression and Metastasis. International Journal of Molecular Sciences. 22(14). 7406–7406. 15 indexed citations

Fustero‐Torre, Coral, et al.. (2021). bollito: a flexible pipeline for comprehensive single-cell RNA-seq analyses. Bioinformatics. 38(4). 1155–1156. 5 indexed citations

Kovtonyuk, Larisa V., Francisco Caiado, Santiago García‐Martín, et al.. (2021). IL-1 mediates microbiome-induced inflammaging of hematopoietic stem cells in mice. Blood. 139(1). 44–58. 102 indexed citations

Sánchez-Valle, Jon, Héctor Tejero, José M. Fernández, et al.. (2020). Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships. Nature Communications. 11(1). 2854–2854. 23 indexed citations

Perales-Patón, Javier, Bruno Bockorny, Ana Dopazo, et al.. (2020). Discovery of New Targets to Control Metastasis in Pancreatic Cancer by Single-cell Transcriptomics Analysis of Circulating Tumor Cells. Molecular Cancer Therapeutics. 19(8). 1751–1760. 35 indexed citations

10.

Perales-Patón, Javier, Tomás Di Domenico, Coral Fustero‐Torre, et al.. (2019). vulcanSpot: a tool to prioritize therapeutic vulnerabilities in cancer. Bioinformatics. 35(22). 4846–4848. 4 indexed citations

11.

Rajeshkumar, N.V., Shinichi Yabuuchi, Shweta Pai, et al.. (2017). Treatment of Pancreatic Cancer Patient–Derived Xenograft Panel with Metabolic Inhibitors Reveals Efficacy of Phenformin. Clinical Cancer Research. 23(18). 5639–5647. 74 indexed citations

12.

Elf, Shannon, Nouran S. Abdelfattah, Edwin Chen, et al.. (2016). Mutant Calreticulin Requires Both Its Mutant C-terminus and the Thrombopoietin Receptor for Oncogenic Transformation. Cancer Discovery. 6(4). 368–381. 189 indexed citations

13.

Soucheray, Margaret, Marzia Capelletti, Yanan Kuang, et al.. (2015). Intratumoral Heterogeneity in EGFR -Mutant NSCLC Results in Divergent Resistance Mechanisms in Response to EGFR Tyrosine Kinase Inhibition. Cancer Research. 75(20). 4372–4383. 103 indexed citations

14.

Garralda, Elena, Keren Paz, Pedro P. López‐Casas, et al.. (2014). Integrated Next-Generation Sequencing and Avatar Mouse Models for Personalized Cancer Treatment. Clinical Cancer Research. 20(9). 2476–2484. 107 indexed citations

15.

Park, Sun‐Mi, Raquel P. Deering, Yuheng Lu, et al.. (2014). Musashi-2 controls cell fate, lineage bias, and TGF-β signaling in HSCs. The Journal of Experimental Medicine. 211(1). 71–87. 110 indexed citations

16.

Castaño, Zafira, Timothy Marsh, Hanna S. Kuznetsov, et al.. (2013). Stromal EGF and IGF-I Together Modulate Plasticity of Disseminated Triple-Negative Breast Tumors. Cancer Discovery. 3(8). 922–935. 35 indexed citations

17.

Ohler, Zoë Weaver, Simone Difilippantonio, Julián Carretero, et al.. (2012). Temporal Molecular and Biological Assessment of an Erlotinib-Resistant Lung Adenocarcinoma Model Reveals Markers of Tumor Progression and Treatment Response. Cancer Research. 72(22). 5921–5933. 31 indexed citations

18.

Javierre, Biola M., Javier Rodríguez‐Ubreva, Fátima Al‐Shahrour, et al.. (2011). Long-Range Epigenetic Silencing Associates with Deregulation of Ikaros Targets in Colorectal Cancer Cells. Molecular Cancer Research. 9(8). 1139–1151. 45 indexed citations

19.

Kharas, Michael G., Christopher J. Lengner, Fátima Al‐Shahrour, et al.. (2010). Musashi-2 regulates normal hematopoiesis and promotes aggressive myeloid leukemia. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

20.

Al‐Shahrour, Fátima, Pablo Mínguez, Juan M. Vaquerizas, Lucía Conde, & Joaquı́n Dopazo. (2005). BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments. Nucleic Acids Research. 33(Web Server). W460–W464. 201 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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