Lars Beckmann

2.5k total citations
36 papers, 898 citations indexed

About

Lars Beckmann is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Lars Beckmann has authored 36 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 12 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Lars Beckmann's work include Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Bioinformatics and Genomic Networks (5 papers). Lars Beckmann is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Bioinformatics and Genomic Networks (5 papers). Lars Beckmann collaborates with scholars based in Germany, United States and Austria. Lars Beckmann's co-authors include Jenny Chang‐Claude, Dajun Qian, Evelin Deeg, Rebecca Hein, Alexandra Nieters, Nikolaus Becker, André Scherag, H. Schäfer, Astrid Dempfle and Christine Fischer and has published in prestigious journals such as The American Journal of Human Genetics, International Journal of Cancer and Carcinogenesis.

In The Last Decade

Lars Beckmann

34 papers receiving 878 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lars Beckmann Germany 16 343 309 156 136 132 36 898
Qun Niu United States 19 599 1.7× 365 1.2× 244 1.6× 74 0.5× 256 1.9× 43 1.1k
Lorena Martinez‐Gamboa Germany 14 373 1.1× 124 0.4× 97 0.6× 277 2.0× 153 1.2× 29 1.0k
Gary L. Goldberg United States 17 416 1.2× 103 0.3× 303 1.9× 81 0.6× 108 0.8× 33 867
Charles Paulding United States 9 583 1.7× 210 0.7× 200 1.3× 76 0.6× 85 0.6× 15 1.1k
Kasper Langebjerg Andersen Denmark 10 418 1.2× 214 0.7× 283 1.8× 53 0.4× 295 2.2× 17 938
Zhenhua Li China 15 330 1.0× 114 0.4× 417 2.7× 199 1.5× 139 1.1× 34 1.1k
Maria Gaetana Di Mauro Italy 16 572 1.7× 314 1.0× 196 1.3× 115 0.8× 142 1.1× 27 918
Mark Penney United Kingdom 15 507 1.5× 209 0.7× 75 0.5× 207 1.5× 82 0.6× 18 1.1k
Adam Maciejczyk Poland 17 371 1.1× 114 0.4× 380 2.4× 126 0.9× 176 1.3× 85 915
Mikhail Churnosov Russia 22 285 0.8× 350 1.1× 84 0.5× 204 1.5× 159 1.2× 151 1.5k

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-authorship network of co-authors of Lars Beckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Beckmann. A scholar is included among the top collaborators of Lars Beckmann 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 Lars Beckmann. Lars Beckmann 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
1.
Beckmann, Lars, et al.. (2024). Unusual Financial Communication - Evidence from ChatGPT, Earnings Calls, and the Stock Market. SSRN Electronic Journal. 5 indexed citations
2.
Beckmann, Lars, et al.. (2024). CBDC and the shadow of bank disintermediation: US stock market insights on threats and remedies. Finance research letters. 67. 105868–105868. 4 indexed citations
3.
Beckmann, Lars, et al.. (2023). Understanding the determinants of bond excess returns using explainable AI. Journal of Business Economics. 93(9). 1553–1590. 4 indexed citations
4.
Felsch, Moritz, Lars Beckmann, Ralf Bender, et al.. (2022). Performance of several types of beta-binomial models in comparison to standard approaches for meta-analyses with very few studies. BMC Medical Research Methodology. 22(1). 319–319. 8 indexed citations
5.
Fujita, N., et al.. (2021). Diagnostic accuracy of rapid point-of-care tests for diagnosis of current SARS-CoV-2 infections in children: A systematic review. Research Explorer (The University of Manchester). 2 indexed citations
6.
Bender, Ralf & Lars Beckmann. (2019). Limitations of the incidence density ratio as approximation of the hazard ratio. Trials. 20(1). 485–485. 11 indexed citations
7.
Butterbach, Katja, Lars Beckmann, Sílvia de Sanjosé, et al.. (2011). Association of JAK‐STAT pathway related genes with lymphoma risk: results of a European case–control study (EpiLymph). British Journal of Haematology. 153(3). 318–333. 35 indexed citations
8.
Timofeeva, Maria, Silke Kropp, Wiebke Sauter, et al.. (2010). Genetic polymorphisms ofMPO,GSTT1,GSTM1,GSTP1,EPHX1andNQO1as risk factors of early‐onset lung cancer. International Journal of Cancer. 127(7). 1547–1561. 51 indexed citations
9.
Bermejo, Justo Lorenzo, Christine Fischer, Rebecca Hein, et al.. (2009). Representation of genetic association via attributable familial relative risks in order to identify polymorphisms functionally relevant to rheumatoid arthritis. BMC Proceedings. 3(S7). S10–S10. 2 indexed citations
10.
Timofeeva, Maria, Silke Kropp, Wiebke Sauter, et al.. (2009). CYP450 polymorphisms as risk factors for early-onset lung cancer: gender-specific differences. Carcinogenesis. 30(7). 1161–1169. 52 indexed citations
11.
Beckmann, Lars, et al.. (2009). Impact of genotyping errors on the type I error rate and the power of haplotype-based association methods. BMC Genetics. 10(1). 3–3. 10 indexed citations
12.
Hein, Rebecca, Lars Beckmann, & Jenny Chang‐Claude. (2009). Comparison of Different Haplotype-Based Haplotype-Based Association Methods for Gene-Environment (G×E) Interactions in Case-Control Studies when Haplotype-Phase Is Ambiguous. Human Heredity. 68(4). 252–267. 4 indexed citations
13.
Dempfle, Astrid, André Scherag, Rebecca Hein, et al.. (2008). Gene–environment interactions for complex traits: definitions, methodological requirements and challenges. European Journal of Human Genetics. 16(10). 1164–1172. 121 indexed citations
14.
Sauter, Wiebke, Albert Rosenberger, Lars Beckmann, et al.. (2008). Matrix Metalloproteinase 1 (MMP1) Is Associated with Early-Onset Lung Cancer. Cancer Epidemiology Biomarkers & Prevention. 17(5). 1127–1135. 97 indexed citations
15.
Beckmann, Lars, et al.. (2007). Comparison of measures for haplotype similarity. BMC Proceedings. 1(S1). S128–S128. 3 indexed citations
16.
Beckmann, Lars, Andreas Ziegler, Priya Duggal, & Joan E. Bailey‐Wilson. (2005). Haplotypes and haplotype-tagging single-nucleotide polymorphism: Presentation Group 8 of Genetic Analysis Workshop 14. Genetic Epidemiology. 29(S1). S59–S71. 9 indexed citations
17.
Beckmann, Lars, Duncan C. Thomas, Christine Fischer, & Jenny Chang‐Claude. (2005). Haplotype Sharing Analysis Using Mantel Statistics. Human Heredity. 59(2). 67–78. 40 indexed citations
18.
Beckmann, Lars, et al.. (2005). Haplotype-sharing analysis using Mantel statistics for combined genetic effects. BMC Genetics. 6(S1). S70–S70. 8 indexed citations
19.
Fischer, Christine, et al.. (2005). SDMinP: a program to control the family wise error rate using step-down minP adjusted P-values. Computer applications in the biosciences. 21(14). 3183–3184. 6 indexed citations
20.
Qian, Dajun & Lars Beckmann. (2002). Minimum-Recombinant Haplotyping in Pedigrees. The American Journal of Human Genetics. 70(6). 1434–1445. 86 indexed citations

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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