Ulrika Wählby

733 total citations
8 papers, 598 citations indexed

About

Ulrika Wählby is a scholar working on Statistics and Probability, Surgery and Pharmacology. According to data from OpenAlex, Ulrika Wählby has authored 8 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 1 paper in Surgery and 1 paper in Pharmacology. Recurrent topics in Ulrika Wählby's work include Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (2 papers). Ulrika Wählby is often cited by papers focused on Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (2 papers). Ulrika Wählby collaborates with scholars based in Sweden and United Kingdom. Ulrika Wählby's 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 and has published in prestigious journals such as British Journal of Clinical Pharmacology, Journal of Pharmacokinetics and Pharmacodynamics and PubMed.

In The Last Decade

Ulrika Wählby

8 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulrika Wählby Sweden	7	132	100	93	90	71	8	598
Elodie L. Plan Sweden	15	164 1.2×	82 0.8×	89 1.0×	107 1.2×	61 0.9×	36	752
Siv Jönsson Sweden	18	71 0.5×	112 1.1×	172 1.8×	106 1.2×	64 0.9×	50	901
Charles M. Gerrits United States	14	168 1.3×	76 0.8×	64 0.7×	124 1.4×	54 0.8×	19	1.0k
Valérie Cosson Switzerland	12	121 0.9×	157 1.6×	84 0.9×	60 0.7×	108 1.5×	25	725
Chandrahas Sahajwalla United States	14	75 0.6×	88 0.9×	169 1.8×	118 1.3×	38 0.5×	44	771
Jae Eun Ahn United States	10	66 0.5×	78 0.8×	142 1.5×	90 1.0×	38 0.5×	15	532
Jakob Ribbing Sweden	10	149 1.1×	163 1.6×	141 1.5×	174 1.9×	117 1.6×	21	1.0k
Christian Laveille France	14	150 1.1×	117 1.2×	176 1.9×	202 2.2×	124 1.7×	33	1.0k
Nancy Yuen United States	7	83 0.6×	73 0.7×	50 0.5×	104 1.2×	61 0.9×	9	534
Kenneth G. Kowalski United States	11	159 1.2×	48 0.5×	73 0.8×	50 0.6×	25 0.4×	24	526

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

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8 of 8 papers shown

Wählby, Ulrika, Alison H. Thomson, Peter A. Milligan, & Mats O. Karlsson. (2004). Models for time‐varying covariates in population pharmacokinetic‐pharmacodynamic analysis. British Journal of Clinical Pharmacology. 58(4). 367–377. 56 indexed citations

Wählby, Ulrika, et al.. (2004). Evaluation of Type I Error Rates When Modeling Ordered Categorical Data in NONMEM. Journal of Pharmacokinetics and Pharmacodynamics. 31(1). 61–74. 11 indexed citations

Kerbusch, Thomas, Ulrika Wählby, Peter A. Milligan, & Mats O. Karlsson. (2003). Population pharmacokinetic modelling of darifenacin and its hydroxylated metabolite using pooled data, incorporating saturable first‐pass metabolism, CYP2D6 genotype and formulation‐dependent bioavailability. British Journal of Clinical Pharmacology. 56(6). 639–652. 42 indexed citations

Wählby, Ulrika, M. René Bouw, E. Niclas Jonsson, & Mats O. Karlsson. (2002). Assessment of Type I Error Rates for the Statistical Sub-model in NONMEM. Journal of Pharmacokinetics and Pharmacodynamics. 29(3). 251–269. 56 indexed citations

Wählby, Ulrika, E. Niclas Jonsson, & Mats O. Karlsson. (2002). Comparison of stepwise covariate model building strategies in population pharmacokinetic-pharmacodynamic analysis. PubMed. 4(4). 68–79. 178 indexed citations

Wählby, Ulrika, E. Niclas Jonsson, & Mats O. Karlsson. (2002). Reply to the Commentary. Journal of Pharmacokinetics and Pharmacodynamics. 29(4). 411–412. 1 indexed citations

Wählby, Ulrika, E. Niclas Jonsson, & Mats O. Karlsson. (2001). Assessment of Actual Significance Levels for Covariate Effects in NONMEM. Journal of Pharmacokinetics and Pharmacodynamics. 28(3). 231–252. 247 indexed citations

Wählby, Ulrika, et al.. (2000). Haematological toxicity following different dosing schedules of 5-fluorouracil and epirubicin in rats.. PubMed. 20(3A). 1519–25. 7 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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