Lars Beckmann

2.5k citations
36 papers · 898 indexed · h-index 16

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock

Papers in

    • Statistical Methods in Clinical Trials 4
    • Genetic Associations and Epidemiology 13
    • Genetic Mapping and Diversity in Plants and Animals 10

Lars Beckmann

34 papers receiving 878 citations

Peers

Lars Beckmann
Comparison fields: 5 of 117
  • Genetics 309
  • Cancer Research 132
  • Immunology 136
  • Oncology 156
  • Pathology and Forensic Medicine 99
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Citations per field
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Citations per year

Countries citing papers authored by Lars Beckmann

Since Specialization
Citations

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

Fields of papers citing papers by Lars Beckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lars Beckmann, 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 Lars Beckmann Line = papers co-authored together Lars Beckmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008121
2 2006116
3 200897
4 200286
5 200952
6 201051
7 200540
8 201135
9 200633
10 200732
11 200730
12 202224
13 200723
14 200122
15 201618
16 202416
17 201911
18 200910
19 20059
20 20029

About Lars Beckmann

Lars Beckmann is a scholar working on Statistics and Probability, Genetics, Finance, Management Science and Operations Research and Orthodontics, having authored 36 papers that have together received 898 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Bioinformatics and Genomic Networks (5 papers), Financial Markets and Investment Strategies (4 papers), Statistical Methods in Clinical Trials (4 papers), Glutathione Transferases and Polymorphisms (3 papers), SARS-CoV-2 detection and testing (3 papers) and Banking stability, regulation, efficiency (3 papers). The work is most often cited by research in Genetics (309 citations), Cancer Research (132 citations), Immunology (136 citations), Oncology (156 citations) and Pathology and Forensic Medicine (99 citations). Lars Beckmann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Jenny Chang‐Claude, Dajun Qian, Evelin Deeg, Rebecca Hein, Alexandra Nieters, Nikolaus Becker, Astrid Dempfle, H. Schäfer, André Scherag and Christine Fischer. Their work appears in journals such as Genetic Epidemiology, Finance research letters, Human Heredity, BMC Genetics and Cancer Epidemiology Biomarkers & Prevention.

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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