Kai Lüersen

2.3k citations
78 papers · 1.8k · h-index 24

Impact in

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

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 16
    • Amino Acid Enzymes and Metabolism 8

Kai Lüersen

77 papers receiving 1.8k citations

Peers

Kai Lüersen
Comparison fields: 5 of 112
  • Aging 207
  • Parasitology 203
  • Biochemistry 188
  • Molecular Biology 815
  • Insect Science 148
Replace Cheng‐Gang Zou with:
Cheng‐Gang Zou China
Vitor Santos Costa Portugal
Riva de Paula Oliveira Brazil
Krai Meemon Thailand
Manuela Côrte‐Real Portugal
Mario Henrique de Barros Brazil
Sócrates C.H. Cavalcanti Brazil
Sueli de Oliveira Silva Brazil
Maria Anna Bauer Austria
Kai Lüersen relative to Cheng‐Gang Zou China Cheng‐Gang Zou's profile →
Citations per field
00.5×2×4×6.5×
Cheng‐Gang Zou · 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021133
2 2007115
3 201895
4 200089
5 200579
6 200074
7 200558
8 200857
9 201054
10 201351
11 200147
12 201944
13 201842
14 200941
15 199940
16 201237
17 202028
18 202227
19 201127
20 200026

About Kai Lüersen

Kai Lüersen is a scholar working on Aging, Biochemistry, Parasitology, Molecular Biology and Nutrition and Dietetics, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (17 papers), Genetics, Aging, and Longevity in Model Organisms (16 papers), Amino Acid Enzymes and Metabolism (8 papers), Parasites and Host Interactions (7 papers), Cannabis and Cannabinoid Research (6 papers), Natural Antidiabetic Agents Studies (6 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 (207 citations), Parasitology (203 citations), Biochemistry (188 citations), Molecular Biology (815 citations) and Insect Science (148 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, Anika Eva Wagner, Dieudonné Ndjonka, Cora Burmeister and Alexander Heinick. Their work appears in journals such as Molecular Nutrition & Food Research, Biochemical Journal, Molecular and Biochemical Parasitology, BioFactors and Acta Tropica.

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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