Lejla Gul

793 total citations
12 papers, 388 citations indexed

About

Lejla Gul is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Lejla Gul has authored 12 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in Lejla Gul's work include Autophagy in Disease and Therapy (4 papers), Gut microbiota and health (4 papers) and Bioinformatics and Genomic Networks (3 papers). Lejla Gul is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Gut microbiota and health (4 papers) and Bioinformatics and Genomic Networks (3 papers). Lejla Gul collaborates with scholars based in United Kingdom, Hungary and Germany. Lejla Gul's co-authors include Tamás Korcsmáros, Dezső Módos, Márton Ölbei, Julio Sáez-Rodríguez, Michal Klein, John P. Thomas, Alberto Valdeolivas, Fabian J. Theis, Nicolàs Palacio‐Escat and Attila Gábor and has published in prestigious journals such as Gastroenterology, Frontiers in Immunology and PLoS Computational Biology.

In The Last Decade

Lejla Gul

11 papers receiving 385 citations

Peers

Lejla Gul
Tanja Jakoš Slovenia
Eli Fritz McDonald United States
Xiuzhen Yan United States
Sony Maharjan South Korea
Vinayaka Kotraiah United States
Bhaskar Dutta United States
Tanja Jakoš Slovenia
Lejla Gul
Citations per year, relative to Lejla Gul Lejla Gul (= 1×) peers Tanja Jakoš

Countries citing papers authored by Lejla Gul

Since Specialization
Citations

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

Fields of papers citing papers by Lejla Gul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lejla Gul

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

All Works

12 of 12 papers shown
1.
Gul, Lejla, Márton Ölbei, Balázs Bohár, et al.. (2025). Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink. STAR Protocols. 6(1). 103570–103570.
2.
Zhang, Yiran, John P. Thomas, Tamás Korcsmáros, & Lejla Gul. (2024). Integrating multi-omics to unravel host-microbiome interactions in inflammatory bowel disease. Cell Reports Medicine. 5(9). 101738–101738. 22 indexed citations
3.
Bohár, Balázs, Dénes Türei, László Földvári-Nagy, et al.. (2023). AutophagyNet: high-resolution data source for the analysis of autophagy and its regulation. Autophagy. 20(1). 188–201. 4 indexed citations
4.
Demeter, Amanda, Anne‐Claire Jacomin, Lejla Gul, et al.. (2022). Computational prediction and experimental validation of Salmonella Typhimurium SopE-mediated fine-tuning of autophagy in intestinal epithelial cells. Frontiers in Cellular and Infection Microbiology. 12. 834895–834895. 3 indexed citations
5.
Gul, Lejla, Dezső Módos, Sónia Fonseca, et al.. (2022). Extracellular vesicles produced by the human commensal gut bacterium Bacteroides thetaiotaomicron affect host immune pathways in a cell‐type specific manner that are altered in inflammatory bowel disease. Journal of Extracellular Vesicles. 11(1). e12189–e12189. 70 indexed citations
6.
Türei, Dénes, Alberto Valdeolivas, Lejla Gul, et al.. (2021). Integrated intra‐ and intercellular signaling knowledge for multicellular omics analysis. Molecular Systems Biology. 17(3). e9923–e9923. 164 indexed citations
7.
Treveil, Agatha, Balázs Bohár, Padhmanand Sudhakar, et al.. (2021). ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways. PLoS Computational Biology. 17(2). e1008685–e1008685. 7 indexed citations
8.
Ölbei, Márton, John P. Thomas, Isabelle Hautefort, et al.. (2021). CytokineLink: A Cytokine Communication Map to Analyse Immune Responses—Case Studies in Inflammatory Bowel Disease and COVID-19. Cells. 10(9). 2242–2242. 11 indexed citations
9.
Ölbei, Márton, Isabelle Hautefort, Dezső Módos, et al.. (2021). SARS-CoV-2 Causes a Different Cytokine Response Compared to Other Cytokine Storm-Causing Respiratory Viruses in Severely Ill Patients. Frontiers in Immunology. 12. 629193–629193. 77 indexed citations
10.
Jones, Emily, Lejla Gul, Padhmanand Sudhakar, et al.. (2019). Integrative analysis of Paneth cell proteomic and transcriptomic data from intestinal organoids reveals functional processes dependent on autophagy. Disease Models & Mechanisms. 12(3). 18 indexed citations
11.
Treveil, Agatha, Lejla Gul, Padhmanand Sudhakar, et al.. (2019). Sa1108 – Analysing Intestinal Organoids in a Multi-Omics, Systems Biology Framework to Investigate Functional Processes Affected by Autophagy in Crohn's Disease. Gastroenterology. 156(6). S–272. 1 indexed citations
12.
Jacomin, Anne‐Claire, Lejla Gul, Padhmanand Sudhakar, Tamás Korcsmáros, & Ioannis P. Nezis. (2018). What We Learned From Big Data for Autophagy Research. Frontiers in Cell and Developmental Biology. 6. 92–92. 11 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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