Kai Lüersen

2.3k citations
75 papers · 1.8k · h-index 25

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Parasites and Host Interactions

Papers in

    • Polyamine Metabolism and Applications 16
    • Genetics, Aging, and Longevity in Model Organisms 14

Kai Lüersen

75 papers receiving 1.7k citations

Peers

Kai Lüersen
Comparison fields: 5 of 109
  • Aging 191
  • Parasitology 206
  • Biochemistry 187
  • Molecular Biology 802
  • Insect Science 147
Replace Vítor Costa with:
Vítor Costa Portugal
Riva de Paula Oliveira Brazil
Krai Meemon Thailand
Manuela Côrte‐Real Portugal
Nadine Camougrand France
Sueli de Oliveira Silva Brazil
Sócrates C.H. Cavalcanti Brazil
Hagai Abeliovich Israel
Kai Lüersen relative to Vítor Costa Portugal Vítor Costa's profile →
Citations per field
00.5×8.6×
Vítor Costa · 1×
Citations per year

Countries citing papers authored by Kai Lüersen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kai Lüersen Line = papers co-authored together Kai Lüersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 2007112
3 200089
4 201889
5 200577
6 200075
7 200559
8 200858
9 201055
10 201350
11 200147
12 201843
13 199942
14 201940
15 200939
16 201236
17 201127
18 200026
19 202025
20 200825

About Kai Lüersen

Kai Lüersen is a scholar working on Molecular Biology, Aging, Biochemistry, Plant Science and Nutrition and Dietetics, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (16 papers), Genetics, Aging, and Longevity in Model Organisms (14 papers), Amino Acid Enzymes and Metabolism (8 papers), Parasites and Host Interactions (7 papers), Cannabis and Cannabinoid Research (5 papers), Natural Antidiabetic Agents Studies (5 papers), Parasitic Diseases Research and Treatment (5 papers) and Insect Utilization and Effects (4 papers). The work is most often cited by research in Aging (191 citations), Parasitology (206 citations), Biochemistry (187 citations), Molecular Biology (802 citations) and Insect Science (147 citations). Kai Lüersen has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gerald Rimbach, Rolf D. Walter, Sylke Müller, Eva Liebau, Carsten Wrenger, Stefanie Staats, Dieudonné Ndjonka, Anika E. Wagner, Cora Burmeister and Ingrid Müller. Their work appears in journals such as Biochemical Journal, Molecular Nutrition & Food Research, Molecular and Biochemical Parasitology, Acta Tropica and Nutrients.

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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