Ahmed Mahfouz

8.0k total citations · 1 hit paper
80 papers, 2.5k citations indexed

About

Ahmed Mahfouz is a scholar working on Molecular Biology, Biophysics and Genetics. According to data from OpenAlex, Ahmed Mahfouz has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 15 papers in Biophysics and 10 papers in Genetics. Recurrent topics in Ahmed Mahfouz's work include Single-cell and spatial transcriptomics (34 papers), Cell Image Analysis Techniques (15 papers) and Muscle Physiology and Disorders (7 papers). Ahmed Mahfouz is often cited by papers focused on Single-cell and spatial transcriptomics (34 papers), Cell Image Analysis Techniques (15 papers) and Muscle Physiology and Disorders (7 papers). Ahmed Mahfouz collaborates with scholars based in Netherlands, United States and Egypt. Ahmed Mahfouz's co-authors include Marcel Reinders, Tamim Abdelaal, Boudewijn P. F. Lelieveldt, Lieke Michielsen, Hailiang Mei, Ahmed S. Fahmy, Davy Cats, Soufiane Mourragui, Frits Koning and Onno C. Meijer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ahmed Mahfouz

78 papers receiving 2.4k 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.

A comparison of automatic cell identification methods for single-cell RNA sequencing data

2019 346 citations Tamim Abdelaal, Lieke Michielsen et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahmed Mahfouz Netherlands	25	1.6k	347	314	253	223	80	2.5k
Stephen R. Williams United States	20	1.9k 1.2×	280 0.8×	314 1.0×	221 0.9×	474 2.1×	38	3.3k
Spyros Darmanis United States	26	2.7k 1.7×	614 1.8×	942 3.0×	279 1.1×	195 0.9×	45	4.7k
Ye Li China	24	768 0.5×	115 0.3×	148 0.5×	366 1.4×	140 0.6×	72	2.1k
Lawrence M. Shuer United States	20	1.4k 0.9×	252 0.7×	287 0.9×	95 0.4×	255 1.1×	45	3.5k
Lars E. Borm Sweden	10	2.1k 1.3×	243 0.7×	364 1.2×	317 1.3×	174 0.8×	12	3.1k
Anna Johnsson Sweden	21	1.6k 1.0×	172 0.5×	309 1.0×	126 0.5×	184 0.8×	40	3.0k
Susan K. Goderie United States	26	2.8k 1.7×	635 1.8×	186 0.6×	196 0.8×	269 1.2×	35	5.0k
Amit Kaushal United States	10	1.6k 1.0×	315 0.9×	272 0.9×	38 0.2×	270 1.2×	16	3.4k
Gonçalo Castelo‐Branco Sweden	35	4.4k 2.8×	912 2.6×	903 2.9×	314 1.2×	549 2.5×	52	6.8k
Jeremy A. Miller United States	23	1.6k 1.0×	214 0.6×	415 1.3×	102 0.4×	381 1.7×	46	2.9k

Countries citing papers authored by Ahmed Mahfouz

Since Specialization

Citations

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

Fields of papers citing papers by Ahmed Mahfouz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Mahfouz

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Mahfouz. A scholar is included among the top collaborators of Ahmed Mahfouz 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 Ahmed Mahfouz. Ahmed Mahfouz 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

Corrêa‐da‐Silva, Felipe, Margje Sinnema, Constance T. R. M. Stumpel, et al.. (2025). Selective changes in vasopressin neurons and astrocytes in the suprachiasmatic nucleus of Prader–Willi syndrome subjects. Journal of Neuroendocrinology. 37(5). e70015–e70015.

Ijsselsteijn, Marieke E., Tamim Abdelaal, Manon van der Ploeg, et al.. (2024). Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling. Nature Methods. 21(10). 1796–1800. 26 indexed citations

Mahfouz, Ahmed, et al.. (2024). Activated CD27+PD-1+ CD8 T Cells and CD4 T Regulatory Cells Dominate the Tumor Microenvironment in Refractory Celiac Disease Type II. SHILAP Revista de lepidopterología. 4(1). 100545–100545. 1 indexed citations

Michielsen, Lieke, Marcel Reinders, & Ahmed Mahfouz. (2024). Predicting cell population-specific gene expression from genomic sequence. SHILAP Revista de lepidopterología. 4. 1347276–1347276. 1 indexed citations

Grudniewska, Magda, et al.. (2023). A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery. iScience. 26(6). 106877–106877. 12 indexed citations

Abdelaal, Tamim, et al.. (2023). Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models. Nature Communications. 14(1). 4909–4909. 24 indexed citations

Mahfouz, Ahmed, et al.. (2023). Consequences and opportunities arising due to sparser single-cell RNA-seq datasets. Genome biology. 24(1). 86–86. 22 indexed citations

Abdelaal, Tamim, et al.. (2022). scMoC: single-cell multi-omics clustering. Bioinformatics Advances. 2(1). vbac011–vbac011. 6 indexed citations

Bonifati, Vincenzo, et al.. (2022). Correcting Differential Gene Expression Analysis for Cyto—Architectural Alterations in Substantia Nigra of Parkinson’s Disease Patients Reveals Known and Potential Novel Disease—Associated Genes and Pathways. Cells. 11(2). 198–198. 1 indexed citations

10.

Dzyubachyk, Oleh, Jeroen van der Grond, Anne Hafkemeijer, et al.. (2021). Cingulate networks associated with gray matter loss in Parkinson's disease show high expression of cholinergic genes in the healthy brain. European Journal of Neuroscience. 53(11). 3727–3739. 5 indexed citations

11.

Vergoossen, Dana L.E., et al.. (2021). Timing and localization of myasthenia gravis‐related gene expression. European Journal of Neuroscience. 54(4). 5574–5585. 3 indexed citations

12.

Buurstede, Jacobus C., et al.. (2021). Cell type specificity of glucocorticoid signaling in the adult mouse hippocampus. Journal of Neuroendocrinology. 34(2). e13072–e13072. 31 indexed citations

13.

Meijer, Mandy, Steven J.A. van der Werff, Oleh Dzyubachyk, et al.. (2021). Potential associations between immune signaling genes, deactivated microglia, and oligodendrocytes and cortical gray matter loss in patients with long-term remitted Cushing’s disease. Psychoneuroendocrinology. 132. 105334–105334. 6 indexed citations

14.

Wijst, Monique G.P. van der, Hilde E. Groot, Gosia Trynka, et al.. (2020). The single-cell eQTLGen consortium. eLife. 9. 116 indexed citations

15.

Abdelaal, Tamim, Soufiane Mourragui, Ahmed Mahfouz, & Marcel Reinders. (2020). SpaGE: Spatial Gene Enhancement using scRNA-seq. Nucleic Acids Research. 48(18). e107–e107. 122 indexed citations

16.

Abdelaal, Tamim, et al.. (2020). SCHNEL: scalable clustering of high dimensional single-cell data. Bioinformatics. 36(Supplement_2). i849–i856. 4 indexed citations

17.

Reinders, Marcel, et al.. (2020). Untangling biological factors influencing trajectory inference from single cell data. NAR Genomics and Bioinformatics. 2(3). lqaa053–lqaa053. 6 indexed citations

18.

Almeida, Rodrigo Coutinho de, Ahmed Mahfouz, Hailiang Mei, et al.. (2020). Identification and characterization of two consistent osteoarthritis subtypes by transcriptome and clinical data integration. Lara D. Veeken. 60(3). 1166–1175. 24 indexed citations

19.

Gupta, Ishaan, Paul Collier, Bettina Haase, et al.. (2018). Single-cell isoform RNA sequencing characterizes isoforms in thousands of cerebellar cells. Nature Biotechnology. 36(12). 1197–1202. 206 indexed citations

20.

Weert, Lisa T. C. M. van, Jacobus C. Buurstede, Ahmed Mahfouz, et al.. (2017). NeuroD Factors Discriminate Mineralocorticoid From Glucocorticoid Receptor DNA Binding in the Male Rat Brain. Endocrinology. 158(5). 1511–1522. 59 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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