Klaus Lehnert

3.2k citations
86 papers · 2.0k indexed · 1 hit paper · h-index 23
Topics
Immunodeficiency and Autoimmune Disorders (16 papers)Cell Adhesion Molecules Research (12 papers)Genetic and phenotypic traits in livestock (10 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Klaus Lehnert

83 papers receiving 2.0k citations

Hit Papers

Cross-Comparison of Exome Analysis, Next-Generation Seque...20162026201920222016100200300

Peers

Klaus Lehnert
Comparison fields: 5 of 133
  • Molecular Biology 668
  • Genetics 529
  • Immunology 527
  • Cancer Research 286
  • Agronomy and Crop Science 238
Replace Xiaomin Zhang with:
Xiaomin Zhang China
Pei‐Wen Hsiao Taiwan
Larry W. Tjoelker United States
Andrés Piñeiro Spain
John Watson United Kingdom
Christina T. Teng United States
Arie B. Vaandrager Netherlands
David G. Besselsen United States
Shu‐Mei Liang Taiwan
Chang Huang United States
Klaus Lehnert relative to Xiaomin Zhang China Xiaomin Zhang's profile →
Citations per field
00.5×2.5×
Xiaomin Zhang · 1×
Citations per year

Countries citing papers authored by Klaus Lehnert

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Lehnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Lehnert

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Lehnert. A scholar is included among the top collaborators of Klaus Lehnert 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 Klaus Lehnert. Klaus Lehnert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 68
4 4
5 23
6 10
7 5
8 10
9 9
10 4
11 14
12 4
13 55
14 2
15 16
16 1
17 50
18
Effect of lactation stage and breed on the concentration of unsaturated fatty acids in milkfat of New Zealand dairy cattle
1
19 118
20 19

About Klaus Lehnert

Klaus Lehnert is a scholar working on Immunology and Allergy, Immunology and Genetics, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (16 papers), Cell Adhesion Molecules Research (12 papers) and Genetic and phenotypic traits in livestock (10 papers). The work is most often cited by research in Immunology (527 citations), Agronomy and Crop Science (238 citations) and Cancer Research (286 citations). Klaus Lehnert has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Russell G. Snell, Euphemia Leung, Martin A. Kennedy, Eng Wee Chua, Simone L. Cree, Nuala A. Helsby, Phillip Shepherd, Rohan Ameratunga, See‐Tarn Woon and Geoffrey W. Krissansen. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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