Ulrika Wählby

733 citations
8 papers · 598 indexed · h-index 7
Topics
Statistical Methods in Clinical Trials (4 papers)Statistical Methods and Bayesian Inference (3 papers)Statistical Methods and Inference (2 papers)
Partner nations
SwedenUnited Kingdom

In The Last Decade

Ulrika Wählby

8 papers receiving 578 citations

Peers

Ulrika Wählby
Comparison fields: 5 of 97
  • Statistics and Probability 132
  • Oncology 100
  • Pediatrics, Perinatology and Child Health 93
  • Pharmacology 90
  • Epidemiology 71
Replace Christian Laveille with:
Christian Laveille France
MO Karlsson Sweden
Janet R. Wade United States
Elodie L. Plan Sweden
Jakob Ribbing Sweden
Benjamin Weber United States
Chandrahas Sahajwalla United States
Jae Eun Ahn United States
P Chan United Kingdom
Carol Cronenberger United States
Ulrika Wählby relative to Christian Laveille France Christian Laveille's profile →
Citations per field
00.5×1.5×
Christian Laveille · 1×
Citations per year

Countries citing papers authored by Ulrika Wählby

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Wählby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrika Wählby

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 56
2 11
3 42
4 56
5 178
6 1
7 247
8
Haematological toxicity following different dosing schedules of 5-fluorouracil and epirubicin in rats.
7

About Ulrika Wählby

Ulrika Wählby is a scholar working on Statistics and Probability, Pharmacology and Analytical Chemistry, having authored 8 papers that have together received 598 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (132 citations), Transplantation (40 citations) and Pharmacology (61 citations). Ulrika Wählby has collaborated with scholars based in Sweden and United Kingdom. Frequent co-authors include Mats O. Karlsson, E. Niclas Jonsson, Peter A. Milligan, Alison H. Thomson, M. René Bouw, Thomas Kerbusch, M. O. Karlsson, Agneta Freijs and Marie Sandström. Their work appears in journals such as British Journal of Clinical Pharmacology, Journal of Pharmacokinetics and Pharmacodynamics and PubMed.

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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