Liese Mebis

1.6k total citations
20 papers, 688 citations indexed

About

Liese Mebis is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Epidemiology. According to data from OpenAlex, Liese Mebis has authored 20 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Endocrine and Autonomic Systems and 4 papers in Epidemiology. Recurrent topics in Liese Mebis's work include Thyroid Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Neuroscience of respiration and sleep (4 papers). Liese Mebis is often cited by papers focused on Thyroid Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Neuroscience of respiration and sleep (4 papers). Liese Mebis collaborates with scholars based in Belgium, Netherlands and Germany. Liese Mebis's co-authors include Greet Van den Berghe, Theo J. Visser, Yves Debaveye, Lies Langouche, Veerle Darras, Björn Ellger, Olga Krylyshkina, Hugo Vankelecom, Jianghai Chen and Carl Denef and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Critical Care.

In The Last Decade

Liese Mebis

20 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liese Mebis Belgium 15 451 138 135 98 94 20 688
Willy Coopmans Belgium 14 389 0.9× 125 0.9× 133 1.0× 78 0.8× 66 0.7× 15 933
Yasuo Tokita Japan 15 183 0.4× 61 0.4× 139 1.0× 44 0.4× 81 0.9× 29 600
Tomohiro Kamoda Japan 14 144 0.3× 61 0.4× 125 0.9× 34 0.3× 99 1.1× 44 524
Daniela Germani Italy 17 285 0.6× 90 0.7× 141 1.0× 106 1.1× 124 1.3× 33 910
Letizia Maria Fatti Italy 14 420 0.9× 41 0.3× 61 0.5× 45 0.5× 81 0.9× 27 655
G Puavilai Thailand 14 266 0.6× 41 0.3× 157 1.2× 42 0.4× 77 0.8× 35 690
Hatice Sebila Dökmetaş Türkiye 19 512 1.1× 53 0.4× 147 1.1× 22 0.2× 67 0.7× 50 887
P. Martul Spain 15 257 0.6× 33 0.2× 138 1.0× 38 0.4× 58 0.6× 31 575
C. H. Walsh Ireland 14 201 0.4× 59 0.4× 86 0.6× 83 0.8× 115 1.2× 40 702
Tracy L. Breen United States 10 134 0.3× 49 0.4× 93 0.7× 70 0.7× 61 0.6× 12 397

Countries citing papers authored by Liese Mebis

Since Specialization
Citations

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

Fields of papers citing papers by Liese Mebis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liese Mebis

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

All Works

20 of 20 papers shown
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2.
Güiza, Fabián, Pieter Wouters, Liese Mebis, et al.. (2023). Development and validation of the creatinine clearance predictor machine learning models in critically ill adults. Critical Care. 27(1). 272–272. 7 indexed citations
3.
4.
5.
Jacobs, An, Karolijn Dulfer, R.D. Eveleens, et al.. (2020). Long-term developmental effect of withholding parenteral nutrition in paediatric intensive care units: a 4-year follow-up of the PEPaNIC randomised controlled trial. The Lancet Child & Adolescent Health. 4(7). 503–514. 41 indexed citations
6.
Vanhorebeek, Ilse, Alexander Wilmer, Inge Derese, et al.. (2020). Towards a fasting-mimicking diet for critically ill patients: the pilot randomized crossover ICU-FM-1 study. Critical Care. 24(1). 249–249. 29 indexed citations
7.
Mebis, Liese & Greet Van den Berghe. (2011). Thyroid axis function and dysfunction in critical illness. Best Practice & Research Clinical Endocrinology & Metabolism. 25(5). 745–757. 57 indexed citations
8.
Mebis, Liese, An Eerdekens, Fabián Güiza, et al.. (2011). Contribution of Nutritional Deficit to the Pathogenesis of the Nonthyroidal Illness Syndrome in Critical Illness: A Rabbit Model Study. Endocrinology. 153(2). 973–984. 17 indexed citations
9.
Mebis, Liese, Yves Debaveye, Björn Ellger, et al.. (2009). Expression of thyroid hormone transporters during critical illness. European Journal of Endocrinology. 161(2). 243–250. 73 indexed citations
10.
Mebis, Liese, Yves Debaveye, Björn Ellger, et al.. (2009). Changes in the central component of the hypothalamus-pituitary-thyroid axis in a rabbit model of prolonged critical illness. Critical Care. 13(5). R147–R147. 63 indexed citations
11.
Mebis, Liese & Greet Van den Berghe. (2009). The hypothalamus-pituitary-thyroid axis in critical illness.. PubMed. 67(10). 332–40. 65 indexed citations
12.
Debaveye, Yves, Björn Ellger, Liese Mebis, Veerle Darras, & Greet Van den Berghe. (2008). Regulation of Tissue Iodothyronine Deiodinase Activity in a Model of Prolonged Critical Illness. Thyroid. 18(5). 551–560. 38 indexed citations
13.
Debaveye, Yves, Björn Ellger, Liese Mebis, et al.. (2008). Effects of Substitution and High-Dose Thyroid Hormone Therapy on Deiodination, Sulfoconjugation, and Tissue Thyroid Hormone Levels in Prolonged Critically Ill Rabbits. Endocrinology. 149(8). 4218–4228. 22 indexed citations
14.
Mebis, Liese, Jan Gunst, Lies Langouche, Ilse Vanhorebeek, & Greet Van den Berghe. (2007). Indication and practical use of intensive insulin therapy in the critically ill. Current Opinion in Critical Care. 13(4). 392–398. 15 indexed citations
15.
Mebis, Liese, Lies Langouche, Theo J. Visser, & Greet Van den Berghe. (2007). The Type II Iodothyronine Deiodinase Is Up-Regulated in Skeletal Muscle during Prolonged Critical Illness. The Journal of Clinical Endocrinology & Metabolism. 92(8). 3330–3333. 70 indexed citations
16.
Tylżanowski, Przemko, Liese Mebis, & Frank P. Luyten. (2006). The Noggin null mouse phenotype is strain dependent and haploinsufficiency leads to skeletal defects. Developmental Dynamics. 235(6). 1599–1607. 36 indexed citations
17.
Mebis, Liese, Yves Debaveye, Theo J. Visser, & Greet Van den Berghe. (2006). Changes Within the Thyroid Axis During the Course of Critical Illness. Endocrinology and Metabolism Clinics of North America. 35(4). 807–821. 26 indexed citations
18.
Debaveye, Yves, Björn Ellger, Liese Mebis, Veerle Darras, & Greet Van den Berghe. (2006). Regulation of type 1 deiodinase activity in prolonged critical illness. Critical Care. 10(Suppl 1). P266–P266. 2 indexed citations
19.
Debaveye, Yves, Björn Ellger, Liese Mebis, et al.. (2005). Tissue Deiodinase Activity during Prolonged Critical Illness: Effects of Exogenous Thyrotropin-Releasing Hormone and Its Combination with Growth Hormone-Releasing Peptide-2. Endocrinology. 146(12). 5604–5611. 40 indexed citations
20.
Krylyshkina, Olga, Jianghai Chen, Liese Mebis, Carl Denef, & Hugo Vankelecom. (2005). Nestin-Immunoreactive Cells in Rat Pituitary Are neither Hormonal nor Typical Folliculo-Stellate Cells. Endocrinology. 146(5). 2376–2387. 77 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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