Danilo Landrock

40 papers receiving 1.4k citations

Peers

Danilo Landrock
Comparison fields: 5 of 87
  • Biochemistry 163
  • Pharmacology 250
  • Molecular Biology 960
  • Endocrinology, Diabetes and Metabolism 202
  • Pathology and Forensic Medicine 176
Replace Walter Wahli with:
Walter Wahli Switzerland
Bernadette Neve France
Jean‐François Louet United States
Giulio Clari Italy
Yael Riahi Israel
Maria Strömstedt Sweden
Masumi Hara Japan
Ildikó Szántó Switzerland
Artiom Gruzdev United States
James R. Krycer Australia
Danilo Landrock relative to Walter Wahli Switzerland Walter Wahli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danilo Landrock

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Landrock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001395
2 2007191
3 201651
4 200650
5 201648
6 200947
7 201241
8 201339
9 201036
10 201434
11 201333
12 201432
13 201232
14 201232
15 201531
16 201531
17 200929
18 201327
19 201626
20 201623

About Danilo Landrock

Danilo Landrock is a scholar working on Molecular Biology, Epidemiology, Oncology, Pharmacology and Pathology and Forensic Medicine, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (26 papers), Liver Disease Diagnosis and Treatment (14 papers), Drug Transport and Resistance Mechanisms (11 papers), Cannabis and Cannabinoid Research (10 papers), Alcohol Consumption and Health Effects (10 papers), Diet, Metabolism, and Disease (9 papers), Cholesterol and Lipid Metabolism (8 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Biochemistry (163 citations), Pharmacology (250 citations), Molecular Biology (960 citations), Endocrinology, Diabetes and Metabolism (202 citations) and Pathology and Forensic Medicine (176 citations). Danilo Landrock has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ann B. Kier, Friedhelm Schroeder, Avery L. McIntosh, Gregory G. Martin, Kerstin K. Landrock, Barbara P. Atshaves, Huan Huang, Gudrun Lutsch, Andreas Schedl and Marie-Claire Gübler. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Archives of Biochemistry and Biophysics, Journal of Lipid Research and Journal of Neurochemistry.

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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