Bernhard Sperker

1.5k citations
30 papers · 1.3k indexed · h-index 18

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Pharmacological Effects of Natural Compounds
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Pharmacological Effects of Natural Compounds 7
    • Pharmacogenetics and Drug Metabolism 5
    • Cancer, Hypoxia, and Metabolism 3

Bernhard Sperker

30 papers receiving 1.2k citations

Peers

Bernhard Sperker
Comparison fields: 5 of 106
  • Pharmacology 155
  • Oncology 438
  • Pediatrics, Perinatology and Child Health 173
  • Molecular Biology 551
  • Microbiology 48
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Ziping Yang United States
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Hirotami Matsuo Japan
Likun Gong China
Mark Milton United States
Steven J. Melnick United States
Scott J. Weir United States
Mikio Tomita Japan
Elisabeth Dussaulx France
Mingyan Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Bernhard Sperker

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Sperker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bernhard Sperker, 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 Bernhard Sperker Line = papers co-authored together Bernhard Sperker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20045
2 200436
3 200312
4 200341
5 20034
6 200220
7 20027
8 20026
9 20005
10 200072
11 199930
12 19994
13 199920
14 199958
15 199814
16 19981
17 1997146
18 199619
19 199317
20 199146

About Bernhard Sperker

Bernhard Sperker is a scholar working on Pharmacology, Cancer Research, Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pharmacological Effects and Toxicity Studies (4 papers), Glutathione Transferases and Polymorphisms (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Pharmacology (155 citations), Oncology (438 citations), Pediatrics, Perinatology and Child Health (173 citations), Molecular Biology (551 citations) and Microbiology (48 citations). Bernhard Sperker has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Heyo K. Kroemer, Janne T. Backman, Klaus Bosslet, Ingolf Cascorbi, Thomas E. Mürdter, Manfred Gerken, Péter Fritz, Werner Siegmund, R Warzok and Peter Dazert. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Clinical Pharmacology & Therapeutics and Molecular Microbiology.

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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