Ulf Bredberg

2.5k citations
33 papers · 1.9k · h-index 21

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 15
    • Pharmacogenetics and Drug Metabolism 10
    • Drug-Induced Hepatotoxicity and Protection 4

Ulf Bredberg

33 papers receiving 1.8k citations

Peers

Ulf Bredberg
Comparison fields: 5 of 107
  • Internal Medicine 217
  • Pharmacology 308
  • Oncology 562
  • Computational Theory and Mathematics 247
  • Cardiology and Cardiovascular Medicine 289
Replace Thorir D. Bjornsson with:
Thorir D. Bjornsson United States
Atsushi Kurihara Japan
S. Cholerton United Kingdom
Pei Hu China
Kohei Nishikawa Japan
Mark J. Rose United States
Harumi Takahashi Japan
Alexander Straub Germany
Donald Pinto United States
Thomayant Prueksaritanont United States
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Citations per field
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Thorir D. Bjornsson · 1×
Citations per year

Countries citing papers authored by Ulf Bredberg

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Bredberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulf Bredberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulf Bredberg Line = papers co-authored together Ulf Bredberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001236
2 2009168
3 2003150
4 2007148
5 2010130
6 2003126
7 2003117
8 2004100
9 200987
10 200985
11 200975
12 200953
13 200049
14 201347
15 198644
16 200743
17 199542
18 200835
19 200435
20 201222

About Ulf Bredberg

Ulf Bredberg is a scholar working on Oncology, Pharmacology, Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health and Statistics and Probability, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (15 papers), Pharmacogenetics and Drug Metabolism (10 papers), Computational Drug Discovery Methods (6 papers), Statistical Methods in Clinical Trials (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Analytical Methods in Pharmaceuticals (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Internal Medicine (217 citations), Pharmacology (308 citations), Oncology (562 citations), Computational Theory and Mathematics (247 citations) and Cardiology and Cardiovascular Medicine (289 citations). Ulf Bredberg has collaborated with scholars based in Sweden, Brazil and United States. Frequent co-authors include Margareta Hammarlund‐Udenaes, Markus Fridén, Ulf G. Eriksson, Madeleine Antonsson, Tommy B. Andersson, David Gustafsson, Collen Masimirembwa, Hong Wan, Brian Middleton and Thomas Antonsson. Their work appears in journals such as Drug Metabolism and Disposition, Pharmaceutical Research, European Journal of Clinical Pharmacology, Molecular Pharmaceutics and Drug Discovery Today.

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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