Enrico Glaab

5.9k total citations · 1 hit paper
85 papers, 3.0k citations indexed

About

Enrico Glaab is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Enrico Glaab has authored 85 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 23 papers in Neurology and 14 papers in Neurology. Recurrent topics in Enrico Glaab's work include Parkinson's Disease Mechanisms and Treatments (23 papers), Bioinformatics and Genomic Networks (20 papers) and Gene expression and cancer classification (12 papers). Enrico Glaab is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (23 papers), Bioinformatics and Genomic Networks (20 papers) and Gene expression and cancer classification (12 papers). Enrico Glaab collaborates with scholars based in Luxembourg, Germany and United Kingdom. Enrico Glaab's co-authors include Natalio Krasnogor, Reinhard Schneider, Anaı̈s Baudot, Alfonso Valencia, Jonathan M. Garibaldi, Paul Wilmes, Christian Jäger, Matthew D. Estes, Kacy Greenhalgh and Pranjul Shah and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Enrico Glaab

79 papers receiving 2.9k 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.

A microfluidics-based in vitro model of the gastrointestinal human–microbe interface

2016 499 citations Enrico Glaab et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Enrico Glaab Luxembourg	29	1.7k	427	413	344	321	85	3.0k
Yang Hu China	33	1.7k 1.0×	395 0.9×	91 0.2×	431 1.3×	286 0.9×	152	3.5k
Shanzhi Wang United States	23	1.3k 0.8×	169 0.4×	98 0.2×	427 1.2×	136 0.4×	56	2.7k
Tsviya Olender Israel	32	2.1k 1.2×	91 0.2×	319 0.8×	173 0.5×	218 0.7×	65	4.1k
Vladislav Petyuk United States	39	2.8k 1.6×	204 0.5×	261 0.6×	124 0.4×	962 3.0×	118	4.8k
Pär Jonsson Sweden	24	2.0k 1.2×	235 0.6×	406 1.0×	433 1.3×	355 1.1×	44	2.9k
Henning Schmidt Germany	33	2.2k 1.3×	168 0.4×	682 1.7×	361 1.0×	117 0.4×	127	3.9k
Bin Zheng United States	36	4.0k 2.4×	324 0.8×	125 0.3×	179 0.5×	935 2.9×	95	6.7k
Shuang Zhou China	33	1.8k 1.0×	162 0.4×	157 0.4×	700 2.0×	185 0.6×	135	3.7k
Xiaotong Wang China	27	843 0.5×	182 0.4×	225 0.5×	99 0.3×	224 0.7×	173	2.5k
Lina Chen China	39	3.2k 1.9×	208 0.5×	108 0.3×	352 1.0×	646 2.0×	268	6.2k

Countries citing papers authored by Enrico Glaab

Since Specialization

Citations

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

Fields of papers citing papers by Enrico Glaab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Glaab

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

Macchi, M., Anaı̈s Baudot, Frada Burstein, et al.. (2025). Recommendations for Successful Development and Implementation of Digital Health Technology Tools. Journal of Medical Internet Research. 27. e56747–e56747. 1 indexed citations

Kurniawan, Henry, Sarah Nickels, Alise Žagare, et al.. (2025). The Parkinson’s disease-associated LRRK2-G2019S variant restricts serine metabolism, leading to microglial inflammation and dopaminergic neuron degeneration. Journal of Neuroinflammation. 22(1). 244–244.

Glaab, Enrico, et al.. (2025). Causal network analysis of omics data using prior knowledge databases. Briefings in Bioinformatics. 26(6).

Schaffner‐Reckinger, Elisabeth, Ganesh babu Manoharan, Vladimir Vukić, et al.. (2024). An Improved PDE6D Inhibitor Combines with Sildenafil To Inhibit KRAS Mutant Cancer Cell Growth. Journal of Medicinal Chemistry. 67(11). 8569–8584. 8 indexed citations

Ali, Muhammad, Pierre Garcia, Tony Heurtaux, et al.. (2024). Single cell transcriptome analysis of the THY-Tau22 mouse model of Alzheimer’s disease reveals sex-dependent dysregulations. Cell Death Discovery. 10(1). 119–119. 7 indexed citations

Soudy, Mohamed, et al.. (2024). Bioinformatics approaches for studying molecular sex differences in complex diseases. Briefings in Bioinformatics. 25(6).

Raschka, Tamara, Stefano Sapienza, Jochen Klucken, et al.. (2024). Progression subtypes in Parkinson’s disease identified by a data-driven multi cohort analysis. npj Parkinson s Disease. 10(1). 95–95. 16 indexed citations

Glaab, Enrico, et al.. (2024). Single-Cell Cortical Transcriptomics Reveals Common and Distinct Changes in Cell-Cell Communication in Alzheimer’s and Parkinson’s Disease. Molecular Neurobiology. 62(3). 2655–2673. 2 indexed citations

Žagare, Alise, Ahmed Abdelmonem Hemedan, Gemma Gomez‐Giro, et al.. (2024). Insulin Resistance Is a Modifying Factor for Parkinson's Disease. Movement Disorders. 40(1). 67–76. 5 indexed citations

10.

Soudy, Mohamed, et al.. (2024). Sex‐dependent molecular landscape of Alzheimer's disease revealed by large‐scale single‐cell transcriptomics. Alzheimer s & Dementia. 21(2). e14476–e14476. 6 indexed citations

11.

Rosety, Isabel, Alise Žagare, Cláudia Saraiva, et al.. (2023). Impaired neuron differentiation in GBA-associated Parkinson’s disease is linked to cell cycle defects in organoids. npj Parkinson s Disease. 9(1). 166–166. 15 indexed citations

12.

Jarazo, Javier, François Massart, Enrico Glaab, et al.. (2022). Generation of isogenic control DJ-1-delP GC13 for the genetic Parkinson‘s disease-patient derived iPSC line DJ-1-delP (LCSBi008-A-1). Stem Cell Research. 62. 102815–102815.

13.

Ali, Muhammad, Tony Heurtaux, Pierre Garcia, et al.. (2022). Single-Cell Transcriptional Profiling and Gene Regulatory Network Modeling in Tg2576 Mice Reveal Gender-Dependent Molecular Features Preceding Alzheimer-Like Pathologies. Molecular Neurobiology. 61(2). 541–566. 12 indexed citations

14.

Großmann, Dajana, David Scheibner, François Massart, et al.. (2019). Mutations in RHOT1 Disrupt Endoplasmic Reticulum–Mitochondria Contact Sites Interfering with Calcium Homeostasis and Mitochondrial Dynamics in Parkinson's Disease. Antioxidants and Redox Signaling. 31(16). 1213–1234. 66 indexed citations

15.

Righetti, Karima, Joseph Ly Vu, Sandra Pelletier, et al.. (2015). Inference of Longevity-Related Genes from a Robust Coexpression Network of Seed Maturation Identifies Regulators Linking Seed Storability to Biotic Defense-Related Pathways. The Plant Cell. 27(10). tpc.15.00632–tpc.15.00632. 127 indexed citations

16.

Glaab, Enrico, Jonathan M. Garibaldi, & Natalio Krasnogor. (2010). Learning pathway-based decision rules to classify microarray cancer samples. Open Repository and Bibliography (University of Luxembourg). 123–134. 5 indexed citations

17.

Glaab, Enrico, Anaı̈s Baudot, Natalio Krasnogor, & Alfonso Valencia. (2010). Extending pathways and processes using molecular interaction networks to analyse cancer genome data. BMC Bioinformatics. 11(1). 597–597. 34 indexed citations

18.

Habashy, Hany Onsy, Desmond G. Powe, Enrico Glaab, et al.. (2010). RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype. Breast Cancer Research and Treatment. 128(2). 315–326. 39 indexed citations

19.

Glaab, Enrico, Jonathan M. Garibaldi, & Natalio Krasnogor. (2010). vrmlgen: AnRPackage for 3D Data Visualization on the Web. Journal of Statistical Software. 36(8). 11 indexed citations

20.

Glaab, Enrico, Jonathan M. Garibaldi, & Natalio Krasnogor. (2009). ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. BMC Bioinformatics. 10(1). 358–358. 79 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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