DAC LEKIM
- Molecular Biology
- Biochemistry top 5%
- Physiology
- Cell Biology
- Clinical Biochemistry top 10%
- Co-authors
- Wilhelm StoffelG StichtGerd SchmitzGerd AssmannErnst GrafW. StoffelE Jagiełło-WójtowiczZ Kleinrok
- Topics
- Sphingolipid Metabolism and Signaling (7 papers)Carbohydrate Chemistry and Synthesis (4 papers)Metabolism and Genetic Disorders (3 papers)
- Journals
- Journal of Chromatography AChemistry and Physics of LipidsScandinavian Journal of Clinical and Laboratory Investigation
- Partner nations
- Germany
In The Last Decade
DAC LEKIM
20 papers receiving 524 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 426
- Biochemistry 168
- Physiology 135
- Cell Biology 98
- Clinical Biochemistry 69
Countries citing papers authored by DAC LEKIM
This map shows the geographic impact of DAC LEKIM'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 DAC LEKIM with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DAC LEKIM more than expected).
Fields of papers citing papers by DAC LEKIM
This network shows the impact of papers produced by DAC LEKIM. 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 DAC LEKIM. The network helps show where DAC LEKIM may publish in the future.
Co-authorship network of co-authors of DAC LEKIM
This figure shows the co-authorship network connecting the top 25 collaborators of DAC LEKIM. A scholar is included among the top collaborators of DAC LEKIM based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with DAC LEKIM. DAC LEKIM is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Central action of sanumgerman in mice. | 1 |
| 2 | Uptake and metabolism of polyene phosphatidylcholine in rat brain. | 6 |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | [Animal experimental studies on the pharmacokinetics of "essential" phospholipids (EPL)]. | 9 |
| 7 | Synthesis of labelled phosphatidyl-N,N-dimethylethanolamine and phosphatidylcholine. | 2 |
| 8 | [The incorporation of essential phospholipids into the organs of intact and galactosamine intoxicated rats]. | 7 |
| 9 | 20 | |
| 10 | 9 | |
| 11 | 28 | |
| 12 | 110 | |
| 13 | 41 | |
| 14 | 56 | |
| 15 | 46 | |
| 16 | 55 | |
| 17 | 25 | |
| 18 | 58 | |
| 19 | 46 | |
| 20 | 30 |
About DAC LEKIM
DAC LEKIM is a scholar working on Clinical Biochemistry, Pharmacology and Biotechnology, having authored 20 papers that have together received 575 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Biochemistry (168 citations), Clinical Biochemistry (69 citations) and Molecular Biology (426 citations). DAC LEKIM has collaborated with scholars based in Germany. Frequent co-authors include Wilhelm Stoffel, G Sticht, Gerd Schmitz, Gerd Assmann, Ernst Graf, W. Stoffel, E Jagiełło-Wójtowicz and Z Kleinrok. Their work appears in journals such as Journal of Chromatography A, Chemistry and Physics of Lipids and Scandinavian Journal of Clinical and Laboratory Investigation.
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.