Sven Van Poucke

2.3k total citations
49 papers, 1.3k citations indexed

About

Sven Van Poucke is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, Sven Van Poucke has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 12 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Hepatology. Recurrent topics in Sven Van Poucke's work include Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (9 papers) and Sepsis Diagnosis and Treatment (8 papers). Sven Van Poucke is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (9 papers) and Sepsis Diagnosis and Treatment (8 papers). Sven Van Poucke collaborates with scholars based in Belgium, China and United States. Sven Van Poucke's co-authors include Ming‐Hua Zheng, Wen‐Yue Liu, Giovanni Targher, Qinqin Yan, Rafael S. Rios, Gong Feng, Marcus D. Lancé, Christopher D. Byrne, Kenneth I. Zheng and Kris Stevens and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and Journal of Medical Internet Research.

In The Last Decade

Sven Van Poucke

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Van Poucke Belgium 18 546 279 233 218 184 49 1.3k
Maria Effenberger Austria 20 541 1.0× 507 1.8× 154 0.7× 187 0.9× 110 0.6× 46 1.7k
Andrea Dalbeni Italy 18 458 0.8× 361 1.3× 132 0.6× 145 0.7× 180 1.0× 82 1.3k
Catalina Suarez‐Cuervo United States 24 555 1.0× 104 0.4× 515 2.2× 244 1.1× 354 1.9× 39 2.7k
Amir Reza Radmard Iran 19 424 0.8× 295 1.1× 231 1.0× 253 1.2× 53 0.3× 76 1.5k
Anand V. Kulkarni India 21 793 1.5× 355 1.3× 721 3.1× 368 1.7× 111 0.6× 147 1.5k
Vijay Gayam United States 16 301 0.6× 385 1.4× 124 0.5× 336 1.5× 83 0.5× 127 1.3k
Kenneth I. Zheng China 21 996 1.8× 756 2.7× 337 1.4× 286 1.3× 328 1.8× 56 1.9k
Madhumita Premkumar India 25 952 1.7× 353 1.3× 963 4.1× 407 1.9× 72 0.4× 154 1.7k
Pia Clara Pafundi Italy 22 542 1.0× 103 0.4× 191 0.8× 239 1.1× 544 3.0× 75 1.7k
Markos Kalligeros United States 16 352 0.6× 431 1.5× 83 0.4× 77 0.4× 84 0.5× 49 1.0k

Countries citing papers authored by Sven Van Poucke

Since Specialization
Citations

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

Fields of papers citing papers by Sven Van Poucke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven Van Poucke. 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 Sven Van Poucke. The network helps show where Sven Van Poucke may publish in the future.

Co-authorship network of co-authors of Sven Van Poucke

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Van Poucke. A scholar is included among the top collaborators of Sven Van Poucke 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 Sven Van Poucke. Sven Van Poucke 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
1.
2.
Sun, Dan‐Qin, Chenfei Zheng, Feng‐Bin Lu, et al.. (2018). Serum lactate level accurately predicts mortality in critically ill patients with cirrhosis with acute kidney injury. European Journal of Gastroenterology & Hepatology. 30(11). 1361–1367. 22 indexed citations
3.
Zhang, Zhongheng, Sven Van Poucke, Hemant Goyal, et al.. (2018). The top 2,000 cited articles in critical care medicine: a bibliometric analysis. Journal of Thoracic Disease. 10(4). 2437–2447. 20 indexed citations
4.
Huang, Guiqian, Ji-Na Zheng, Tiantian Zou, et al.. (2017). Stratified Platelet-to-lymphocyte Ratio: A Novel Target for Prognostic Prediction of Hepatocellular Carcinoma after Curative Liver Resection. Journal of Clinical and Translational Hepatology. XX(XX). 1–8. 4 indexed citations
5.
Zhou, Yujie, Ji-Na Zheng, Wen‐Yue Liu, et al.. (2017). The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver. Clinica Chimica Acta. 468. 17–24. 10 indexed citations
6.
Zhang, Zhongheng, Yucai Hong, Nathan J. Smischney, et al.. (2017). Early management of sepsis with emphasis on early goal directed therapy: AME evidence series 002. Journal of Thoracic Disease. 9(2). 392–405. 14 indexed citations
7.
Zhou, Yujie, Hai Zou, Ji-Na Zheng, et al.. (2017). Serum alkaline phosphatase, a risk factor for non-alcoholic fatty liver, but only for women in their 30s and 40s: evidence from a large cohort study. Expert Review of Gastroenterology & Hepatology. 11(3). 1–8. 13 indexed citations
8.
Zhang, Zhongheng & Sven Van Poucke. (2017). Citations for Randomized Controlled Trials in Sepsis Literature: The Halo Effect Caused by Journal Impact Factor. PLoS ONE. 12(1). e0169398–e0169398. 12 indexed citations
9.
Poucke, Sven Van, Michiel Thomeer, John W. Heath, & Milan Vukičević. (2016). Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics. Journal of Medical Internet Research. 18(7). e185–e185. 34 indexed citations
10.
Poucke, Sven Van, Zhongheng Zhang, Mark Roest, et al.. (2016). Normalization methods in time series of platelet function assays. Medicine. 95(28). e4188–e4188. 4 indexed citations
11.
Liu, Wen‐Yue, Shigang Lin, Gui‐Qi Zhu, et al.. (2016). Establishment and Validation of GV-SAPS II Scoring System for Non-Diabetic Critically Ill Patients. PLoS ONE. 11(11). e0166085–e0166085. 12 indexed citations
12.
Jovanović, Miloš, Sandro Radovanović, Milan Vukičević, Sven Van Poucke, & Boris Delibašić. (2016). Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artificial Intelligence in Medicine. 72. 12–21. 48 indexed citations
13.
Vitale, Alessandro, Markus Peck‐Radosavljevic, Edoardo G. Giannini, et al.. (2016). Personalized treatment of patients with very early hepatocellular carcinoma. Journal of Hepatology. 66(2). 412–423. 115 indexed citations
14.
Kicken, Cécile, et al.. (2015). Response of platelet concentrates to pressure and temperature changes without impairment of the in vitro function. Thrombosis Research. 135(4). 679–683. 10 indexed citations
15.
Poucke, Sven Van, et al.. (2014). Hypothermia: effects on platelet function and hemostasis. Thrombosis Journal. 12(1). 31–31. 95 indexed citations
16.
Poucke, Sven Van, et al.. (2010). Comparative analysis of two methods for wound bed area measurement. International Wound Journal. 7(5). 366–377. 15 indexed citations
17.
Poucke, Sven Van, Yves Vander Haeghen, Kris Vissers, Theo Meert, & Philippe G. Jorens. (2010). Automatic colorimetric calibration of human wounds. BMC Medical Imaging. 10(1). 7–7. 24 indexed citations
18.
Poucke, Sven Van, et al.. (2008). Perirectal pyogranulomatous inflammation causing rectal obstruction and colic in a Norwegian Fjord gelding. Vlaams Diergeneeskundig Tijdschrift. 77(1). 1 indexed citations
19.
Poucke, Sven Van, et al.. (2006). Physiological effects of hyperbaric oxygen on ischemia reperfusion phenomenon. 121–134. 2 indexed citations
20.
Poucke, Sven Van, et al.. (2004). Pyoderma gangrenosum: a challenging complication of bilateral mastopexy. International Wound Journal. 1(3). 207–213. 32 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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