A. Laatsch

910 citations
10 papers · 717 · h-index 9

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 2
    • RNA Interference and Gene Delivery 2
    • Peroxisome Proliferator-Activated Receptors 2
    • RNA Research and Splicing 2
    • Cholesterol and Lipid Metabolism 3

A. Laatsch

10 papers receiving 706 citations

Peers

A. Laatsch
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 217
  • Cardiology and Cardiovascular Medicine 177
  • Cancer Research 113
  • Cell Biology 107
  • Physiology 155
Replace Wanli Cheng with:
Wanli Cheng United States
Francesca Ferrelli Italy
Giuliano A. Mottino United States
Jane Widmer United States
Zhiyao Fu United States
Jean‐Valéry Turatsinze Belgium
Erik Zmuda United States
Sudhir Marathe United States
K.B. Dalal United States
Liora S. Katz United States
A. Laatsch relative to Wanli Cheng United States Wanli Cheng's profile →
Citations per field
00.5×3.4×
Wanli Cheng · 1×
Citations per year

Countries citing papers authored by A. Laatsch

Since Specialization
Citations

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

Fields of papers citing papers by A. Laatsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2005232
2 2004114
3 200886
4 200874
5 200371
6 200549
7 201248
8 200727
9 200414
10 20052

About A. Laatsch

A. Laatsch is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 10 papers that have together received 717 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Sphingolipid Metabolism and Signaling (2 papers), RNA Interference and Gene Delivery (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), RNA Research and Splicing (2 papers), Lipid metabolism and disorders (2 papers) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (217 citations), Cardiology and Cardiovascular Medicine (177 citations), Cancer Research (113 citations), Cell Biology (107 citations) and Physiology (155 citations). A. Laatsch has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Jöerg Heeren, Thomas Grewal, Ulrike Beisiegel†, Martin Merkel, L Pennacchio, Malte A. Kluger, Franz Rinninger, Nils Becker, Kerry‐Anne Rye and Philippa J. Talmud. Their work appears in journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis Supplements, Journal of Molecular and Cellular Cardiology and European Journal of Cell Biology.

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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