Ayla Smout

621 total citations
9 papers, 478 citations indexed

About

Ayla Smout is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ayla Smout has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hepatology, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Ayla Smout's work include Liver physiology and pathology (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Organ Transplantation Techniques and Outcomes (2 papers). Ayla Smout is often cited by papers focused on Liver physiology and pathology (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Organ Transplantation Techniques and Outcomes (2 papers). Ayla Smout collaborates with scholars based in Belgium, Spain and Norway. Ayla Smout's co-authors include Leo A. van Grunsven, Inge Mannaerts, Sofia Batista Leite, Christophe Chesné, Mustapha Najimi, Adil El Taghdouini, Étienne Sokal, Noor Fatima, Catherine M. Verfaillie and Ruben Boon and has published in prestigious journals such as Biomaterials, Nature Protocols and Cell stem cell.

In The Last Decade

Ayla Smout

9 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayla Smout Belgium	7	301	180	176	146	116	9	478
Seon Ju Mun South Korea	10	211 0.7×	168 0.9×	125 0.7×	195 1.3×	59 0.5×	19	458
Júlia Vallverdú Spain	8	226 0.8×	74 0.4×	130 0.7×	149 1.0×	145 1.3×	11	423
Preety Rawal India	9	86 0.3×	156 0.9×	84 0.5×	79 0.5×	64 0.6×	16	355
Dustin R. Berger United States	6	215 0.7×	235 1.3×	125 0.7×	170 1.2×	35 0.3×	11	455
Milad Rezvani United States	8	431 1.4×	103 0.6×	366 2.1×	317 2.2×	173 1.5×	17	803
Lucía Cordero-Espinoza United Kingdom	7	206 0.7×	54 0.3×	159 0.9×	307 2.1×	101 0.9×	8	591
Patricia Nohemí Olivares Ponce United States	4	212 0.7×	60 0.3×	164 0.9×	121 0.8×	40 0.3×	6	412
Rui Tostões Portugal	9	202 0.7×	356 2.0×	191 1.1×	251 1.7×	18 0.2×	14	584
Yuta Koui Japan	9	182 0.6×	100 0.6×	133 0.8×	174 1.2×	55 0.5×	13	332
Niya Aleksieva United Kingdom	5	204 0.7×	23 0.1×	167 0.9×	138 0.9×	94 0.8×	6	401

Countries citing papers authored by Ayla Smout

Since Specialization

Citations

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

Fields of papers citing papers by Ayla Smout

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayla Smout

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

1.

Smout, Ayla, R. Wolf, Christophe Chesné, et al.. (2025). 9-cis-Retinoic Acid Improves Disease Modelling in iPSC-Derived Liver Organoids. Cells. 14(13). 983–983. 1 indexed citations

2.

Smet, Vincent De, Nathalie Eysackers, Ayla Smout, et al.. (2024). Orphan receptor GPR176 in hepatic stellate cells exerts a profibrotic role in chronic liver disease. JHEP Reports. 6(5). 101036–101036. 3 indexed citations

3.

Smout, Ayla, Yuwei Yang, Hendrik Reynaert, et al.. (2024). Human iPSC-derived liver co-culture spheroids to model liver fibrosis. Biofabrication. 16(3). 35032–35032. 7 indexed citations

4.

Eysackers, Nathalie, Karolina Szafranska, Ayla Smout, et al.. (2022). Modelling fatty liver disease with mouse liver-derived multicellular spheroids. Biomaterials. 290. 121817–121817. 14 indexed citations

5.

Smedt, Jonathan De, Irene Talón, Burak Toprakhisar, et al.. (2021). PU.1 drives specification of pluripotent stem cell-derived endothelial cells to LSEC-like cells. Cell Death and Disease. 12(1). 84–84. 29 indexed citations

6.

Vallverdú, Júlia, Inge Mannaerts, Stefaan Verhulst, et al.. (2021). Directed differentiation of human induced pluripotent stem cells to hepatic stellate cells. Nature Protocols. 16(5). 2542–2563. 33 indexed citations

7.

Mannaerts, Inge, Nathalie Eysackers, Stefaan Verhulst, et al.. (2020). The fibrotic response of primary liver spheroids recapitulates in vivo hepatic stellate cell activation. Biomaterials. 261. 120335–120335. 27 indexed citations

8.

Coll, Mar, Luís Perea, Ruben Boon, et al.. (2018). Generation of Hepatic Stellate Cells from Human Pluripotent Stem Cells Enables In Vitro Modeling of Liver Fibrosis. Cell stem cell. 23(1). 101–113.e7. 172 indexed citations

9.

Leite, Sofia Batista, Adil El Taghdouini, Inge Mannaerts, et al.. (2015). Novel human hepatic organoid model enables testing of drug-induced liver fibrosis in vitro. Biomaterials. 78. 1–10. 192 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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