Dieter Lang

36 papers receiving 1.9k citations

Dieter Lang's Hit Papers

Predicting drug metabolism: experiment and/or computation? 2015 · 374 citations
3740+3+7Years since publication100200300

Peers

Dieter Lang
Comparison fields: 5 of 113
  • Pharmacology 628
  • Internal Medicine 183
  • Cardiology and Cardiovascular Medicine 356
  • Computational Theory and Mathematics 256
  • Biochemistry 103
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Theunis C. Goosen United States
Donglu Zhang United States
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Citations per year

Countries citing papers authored by Dieter Lang

Since Specialization
Citations

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

Fields of papers citing papers by Dieter Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting drug metabolism: experiment and/or computation?
Hit paper breakdown →
2015374
2 2009316
3 2009148
4 2000106
5 200992
6 201681
7 201861
8 199659
9 199659
10 200057
11 199755
12 201353
13
Characterization of dextromethorphan O- and N-demethylation catalyzed by highly purified recombinant human CYP2D6.
200148
14 201946
15 199546
16 199644
17 199841
18 202139
19 200835
20 201734

About Dieter Lang

Dieter Lang is a scholar working on Molecular Biology, Pharmacology, Oncology, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Drug Transport and Resistance Mechanisms (10 papers), Pulmonary Hypertension Research and Treatments (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Trypanosoma species research and implications (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Vitamin K Research Studies (2 papers). The work is most often cited by research in Pharmacology (628 citations), Internal Medicine (183 citations), Cardiology and Cardiovascular Medicine (356 citations), Computational Theory and Mathematics (256 citations) and Biochemistry (103 citations). Dieter Lang has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Allan E. Rettie, R. Böcker, Thomas Schwarz, Dagmar Kubitza, Wolfgang Mueck, Gisbert Schneider, Robert C. Glen, Jens Kunze, Bernard Testa and Ian D. Wilson. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, ChemMedChem, Cancer Chemotherapy and Pharmacology and Archives of Toxicology.

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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