Sebastian Ueckert

617 citations
34 papers · 461 indexed · 1 hit paper · h-index 11
Topics
Statistical Methods in Clinical Trials (10 papers)Health Systems, Economic Evaluations, Quality of Life (7 papers)Advanced Causal Inference Techniques (5 papers)

In The Last Decade

Sebastian Ueckert

30 papers receiving 450 citations

Hit Papers

Zibotentan in combination with dapagliflozin compared wit...20232026202420252023204060

Peers

Sebastian Ueckert
Comparison fields: 5 of 101
  • Statistics and Probability 134
  • Management Science and Operations Research 84
  • Molecular Biology 65
  • Neurology 62
  • Psychiatry and Mental health 57
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Citations per field
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Citations per year

Countries citing papers authored by Sebastian Ueckert

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Ueckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Ueckert

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Ueckert. A scholar is included among the top collaborators of Sebastian Ueckert 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 Sebastian Ueckert. Sebastian Ueckert 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
#WorkIndexed citations
1 0
2 2
3 2
4
Zibotentan in combination with dapagliflozin compared with dapagliflozin in patients with chronic kidney disease (ZENITH-CKD): a multicentre, randomised, active-controlled, phase 2b, clinical trialbreakdown →
71
5 3
6 6
7 2
8 2
9 24
10 35
11 12
12 11
13 11
14
Improved Confidence Intervals and P-Values by Sampling from the Normalized Likelihood
1
15
Modeling the Neuropsychiatric Inventory (NPI) - Strengths and Weaknesses of a Multidimensional Item Response Theory Approach
1
16
Handling Below Limit of Quantification Data in Optimal Trial Design
5
17 65
18 19
19 6
20 67

About Sebastian Ueckert

Sebastian Ueckert is a scholar working on Statistics and Probability, Management Science and Operations Research and Nephrology, having authored 34 papers that have together received 461 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (10 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Advanced Causal Inference Techniques (5 papers). The work is most often cited by research in Statistics and Probability (134 citations), Management Science and Operations Research (84 citations) and Neurology (62 citations). Sebastian Ueckert has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Mats O. Karlsson, Andrew C. Hooker, France Mentré, Nicolas Frey, Sylvie Retout, Joakim Nyberg, Elodie L. Plan, Stefanie Hennig, Kaori Ito and Brian Corrigan. Their work appears in journals such as The Lancet, Biometrics and European Heart Journal.

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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