Kai Lüersen
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Parasitology top 2%
- Parasites and Host Interactions
Papers in
-
- Polyamine Metabolism and Applications 15
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
- Co-authors
- Rolf D. Walter (15 shared papers)Gerald Rimbach (36 shared papers)Sylke Müller (9 shared papers)Eva Liebau (18 shared papers)Carsten Wrenger (6 shared papers)Stefanie Staats (4 shared papers)Dieudonné Ndjonka (9 shared papers)Anika E. Wagner (2 shared papers)
- Journals
- Molecular Nutrition & Food Research (5 papers)Biochemical Journal (5 papers)Molecular and Biochemical Parasitology (4 papers)BioFactors (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Kai Lüersen
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Aging 195
- Parasitology 202
- Biochemistry 187
- Insect Science 156
- Molecular Biology 799
Countries citing papers authored by Kai Lüersen
This map shows the geographic impact of Kai Lüersen'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 Kai Lüersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Lüersen more than expected).
Fields of papers citing papers by Kai Lüersen
This network shows the impact of papers produced by Kai Lüersen. 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 Kai Lüersen. The network helps show where Kai Lüersen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Lüersen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 111 | |
| 2 | 2021 | 111 | |
| 3 | 2000 | 88 | |
| 4 | 2018 | 85 | |
| 5 | 2005 | 75 | |
| 6 | 2000 | 70 | |
| 7 | 2005 | 59 | |
| 8 | 2008 | 53 | |
| 9 | 2010 | 52 | |
| 10 | 2013 | 48 | |
| 11 | 2001 | 43 | |
| 12 | 1999 | 42 | |
| 13 | 2018 | 40 | |
| 14 | 2019 | 37 | |
| 15 | 2009 | 36 | |
| 16 | 2012 | 35 | |
| 17 | 2011 | 26 | |
| 18 | 1998 | 24 | |
| 19 | 2005 | 24 | |
| 20 | 2020 | 24 |
About Kai Lüersen
Kai Lüersen is a scholar working on Molecular Biology, Aging, Biochemistry, Nutrition and Dietetics and Plant Science, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Polyamine Metabolism and Applications (15 papers), Amino Acid Enzymes and Metabolism (8 papers), Parasites and Host Interactions (7 papers), Natural Antidiabetic Agents Studies (5 papers), Cannabis and Cannabinoid Research (5 papers), Parasitic Diseases Research and Treatment (5 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Aging (195 citations), Parasitology (202 citations), Biochemistry (187 citations), Insect Science (156 citations) and Molecular Biology (799 citations). Kai Lüersen has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Rolf D. Walter, Gerald Rimbach, Sylke Müller, Eva Liebau, Carsten Wrenger, Stefanie Staats, Dieudonné Ndjonka, Anika E. Wagner, Cora Burmeister and Alexander Heinick. Their work appears in journals such as Molecular Nutrition & Food Research, Biochemical Journal, Molecular and Biochemical Parasitology, BioFactors and Journal of Biological Chemistry.
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.