Ulf Bredberg

2.6k citations
34 papers · 2.1k · h-index 21

Impact in

Papers in

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

Ulf Bredberg

33 papers receiving 2.0k citations

Peers

Ulf Bredberg
Comparison fields: 5 of 112
  • Internal Medicine 229
  • Pharmacology 348
  • Oncology 651
  • Neurology 136
  • Computational Theory and Mathematics 276
Replace Atsushi Kurihara with:
Atsushi Kurihara Japan
Suzanne Cholerton United Kingdom
Kohei Nishikawa Japan
Donald J. P. Pinto United States
Wolfram Steinke Germany
Larry M. Tremaine United States
Peter Dogterom Netherlands
Andrea Manni United States
Ivana Vojnovic United Kingdom
Harvey M. Solomon United States
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Citations per field
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Atsushi Kurihara · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001256
2 2009192
3 2003169
4 2007164
5 2010147
6 2003137
7 2003122
8 2004108
9 2009107
10 200996
11 200980
12 200962
13 201352
14 200049
15 198648
16 200745
17 199544
18 200439
19 200835
20 201223

About Ulf Bredberg

Ulf Bredberg is a scholar working on Pharmacology, Oncology, Statistics and Probability, Computational Theory and Mathematics and Analytical Chemistry, having authored 34 papers that have together received 2.1k 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), Pharmacological Effects and Toxicity Studies (4 papers), Analytical Methods in Pharmaceuticals (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Chemical synthesis and alkaloids (2 papers). The work is most often cited by research in Internal Medicine (229 citations), Pharmacology (348 citations), Oncology (651 citations), Neurology (136 citations) and Computational Theory and Mathematics (276 citations). Ulf Bredberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Margareta Hammarlund‐Udenaes, Markus Fridén, Ulf G. Eriksson, Madeleine Antonsson, Tommy B. Andersson, David Gustafsson, Collen Mutowembwa Masimirembwa, Hong Wan, Brian J. Middleton and Jan-Erik Nyström. Their work appears in journals such as Drug Metabolism and Disposition, Pharmaceutical Research, European Journal of Clinical Pharmacology, Drug Discovery Today and Biopharmaceutics & Drug Disposition.

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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