Dieter Lang

2.8k citations
35 papers · 1.9k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Dieter Lang

35 papers receiving 1.8k citations

Hit Papers

Predicting drug metabolism: experiment and/or computation? 2015 · 359 citations
3592015202620182022100200300

Peers

Dieter Lang
Comparison fields: 5 of 113
  • Pharmacology 603
  • Internal Medicine 247
  • Cardiology and Cardiovascular Medicine 410
  • Computational Theory and Mathematics 245
  • Biochemistry 110
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Donglu Zhang United States
Theunis C. Goosen United States
Philippe Urban France
Noritaka Ariyoshi Japan
Atsushi Kurihara Japan
S. Cholerton United Kingdom
Ulf Bredberg Sweden
Michael J. Fasco United States
Kevin B. Alton United States
Kamlesh P. Vyas United States
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Citations per field
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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
#Work
1 20231
2 202314
3 202312
4 20225
5 202111
6 202137
7 20199
8 201946
9 201858
10 201713
11 201734
12 201352
13 200992
14 200525
15 2000106
16 200057
17 199841
18 199627
19 199659
20 199659

About Dieter Lang

Dieter Lang is a scholar working on Pharmacology, Biochemistry, Oncology, Transplantation and Genetics, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Drug Transport and Resistance Mechanisms (10 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Vitamin K Research Studies (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Biochemical and Molecular Research (3 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Pharmacology (603 citations), Internal Medicine (247 citations), Cardiology and Cardiovascular Medicine (410 citations), Computational Theory and Mathematics (245 citations) and Biochemistry (110 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, Wolfgang Mueck, Dagmar Kubitza, Bernard Testa, Jens Kunze, Andreas H. Göller, Ian D. Wilson and Johannes Kirchmair. 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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