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.
Machine Perfusion or Cold Storage in Deceased-Donor Kidney Transplantation
2008815 citationsCyril Moers, Jacqueline M. Smits et al.profile →
Evolution of indications and results of liver transplantation in Europe. A report from the European Liver Transplant Registry (ELTR)
2012625 citationsRené Adam, Vincent Karam et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Andreas Paul'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 Andreas Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Paul more than expected).
This network shows the impact of papers produced by Andreas Paul. 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 Andreas Paul. The network helps show where Andreas Paul may publish in the future.
Co-authorship network of co-authors of Andreas Paul
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Paul.
A scholar is included among the top collaborators of Andreas Paul 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 Andreas Paul. Andreas Paul is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moers, Cyril, Ina Jochmans, Juergen Treckmann, et al.. (2011). BETTER GRAFT SURVIVAL WITH MACHINE PERFUSION THAN COLD STORAGE AFTER THREE YEARS: FOLLOW-UP ANALYSIS OF THE EUROPEAN MULTICENTRE RCT IN DECEASED-DONOR KIDNEY TRANSPLANTATION. Transplant International. 24. 93–94.4 indexed citations
Damman, Jeffrey, Marc A. Seelen, Cyril Moers, et al.. (2010). Systemic Complement Activation in Deceased Donors Is Associated with Acute Allograft Rejection after Renal Transplantation.. American Journal of Transplantation. 10. 480–480.3 indexed citations
Pirenne, Jacques, Jacqueline M. Smits, Diethard Monbaliu, et al.. (2009). HYPOTHERMIC IN SITU MACHINE PERFUSION WITH UW DURING DECEASED CARDIAC DEATH DONATION IMPROVES EARLY RENAL FUNCTION. Transplant International. 22. 56–56.3 indexed citations
17.
Paul, Andreas, Cyril Moers, Jacqueline M. Smits, et al.. (2009). Machine Perfusion vs. Cold Storage in Transplantation of Kidneys from Donors Older Than 65 Years: Results of a Randomized Multicenter Trial.. American Journal of Transplantation. 9. 235–235.1 indexed citations
18.
Moers, Cyril, Juergen Treckmann, Diethard Monbaliu, et al.. (2009). GST AND HFABP VALUES DURING MACHINE PERFUSION OF DECEASED DONOR KIDNEYS ARE INDEPENDENT PREDICTORS OF DELAYED GRAFT FUNCTION, BUT NOT OF PRIMARY NON-FUNCTION AND GRAFT SURVIVAL. Transplant International. 22. 42–42.3 indexed citations
19.
Moers, Cyril, Jacqueline M. Smits, Mark-Hugo J. Maathuis, et al.. (2008). Transplantation after hypothermic machine perfusion versus static cold storage of deceased donor kidneys : A prospective randomized controlled trial.. American Journal of Transplantation. 8. 225–225.5 indexed citations
20.
Moers, Cyril, Jacqueline M. Smits, Mark-Hugo J. Maathuis, et al.. (2007). The european multicentre trial on kidney preservation: Results of a prospective randomised clinical study comparing post-transplant outcome after hypothermic machine perfusion versus simple cold storage in kidney transplantation. Transplant International. 20. 34–34.3 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.