Alf Beckmann

786 total citations
10 papers, 556 citations indexed

About

Alf Beckmann is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Alf Beckmann has authored 10 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Oncology. Recurrent topics in Alf Beckmann's work include Molecular Biology Techniques and Applications (4 papers), HER2/EGFR in Cancer Research (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Alf Beckmann is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), HER2/EGFR in Cancer Research (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Alf Beckmann collaborates with scholars based in Germany, India and France. Alf Beckmann's co-authors include Iris Ohmert, Martin Kruse, Olaf Pongs, Eric Schulze‐Bahr, Birgit Stallmeyer, Ellen Schulze-Bahr, Valerie A. Corfield, Paul A. Brink, Burkhard Brandt and Frank Gebhardt and has published in prestigious journals such as Journal of Clinical Investigation, Clinical Chemistry and Cancer Letters.

In The Last Decade

Alf Beckmann

9 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alf Beckmann Germany 7 289 231 184 116 98 10 556
Naoya Onohara Japan 6 323 1.1× 274 1.2× 223 1.2× 30 0.3× 27 0.3× 6 588
Christie‐Ann McCarl United States 7 239 0.8× 399 1.7× 17 0.1× 51 0.4× 55 0.6× 9 693
Joseph Chapo United States 6 262 0.9× 143 0.6× 123 0.7× 49 0.4× 12 0.1× 7 398
Jin‐Yan Shang China 10 254 0.9× 92 0.4× 34 0.2× 34 0.3× 23 0.2× 12 440
Margaret Nguyen United States 10 132 0.5× 157 0.7× 16 0.1× 97 0.8× 32 0.3× 15 442
Hélène Lallet-Daher France 7 307 1.1× 49 0.2× 30 0.2× 41 0.4× 24 0.2× 7 451
Angela M. Bair United States 7 169 0.6× 69 0.3× 20 0.1× 31 0.3× 44 0.4× 7 444
Shekoufeh Almasi Canada 12 217 0.8× 124 0.5× 8 0.0× 53 0.5× 40 0.4× 19 436
Mizuka Iwatsubo United States 7 248 0.9× 102 0.4× 31 0.2× 40 0.3× 13 0.1× 8 357
Melanie Barbara Boettger Germany 8 245 0.8× 101 0.4× 11 0.1× 68 0.6× 51 0.5× 10 616

Countries citing papers authored by Alf Beckmann

Since Specialization
Citations

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

Fields of papers citing papers by Alf Beckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alf Beckmann

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

All Works

10 of 10 papers shown
1.
Roos, Andreas, Laxmikanth Kollipara, René P. Zahedi, et al.. (2016). The Caveolin-3 G56S sequence variant of unknown significance: Muscle biopsy findings and functional cell biological analysis. PROTEOMICS - CLINICAL APPLICATIONS. 11(1-2). 1600007–1600007. 8 indexed citations
3.
Liu, Hui, Loubna El Zein, Martin Kruse, et al.. (2010). Gain-of-Function Mutations in TRPM4 Cause Autosomal Dominant Isolated Cardiac Conduction Disease. Circulation Cardiovascular Genetics. 3(4). 374–385. 154 indexed citations
4.
Kruse, Martin, Eric Schulze‐Bahr, Valerie A. Corfield, et al.. (2009). Impaired endocytosis of the ion channel TRPM4 is associated with human progressive familial heart block type I. Journal of Clinical Investigation. 119(9). 2737–2744. 234 indexed citations
5.
Brandt, Burkhard, et al.. (2003). Double- and Competitive-Differential PCR for Gene Dosage Quantitation. Humana Press eBooks. 39. 347–356. 1 indexed citations
6.
Buerger, Horst, Frank Gebhardt, Hartmut Schmidt, et al.. (2000). Length and loss of heterozygosity of an intron 1 polymorphic sequence of egfr is related to cytogenetic alterations and epithelial growth factor receptor expression.. PubMed. 60(4). 854–7. 130 indexed citations
7.
Beckmann, Alf, et al.. (1999). Direct-Double-Differential PCR for Gene Dosage Quantification of c-myc. Clinical Chemistry. 45(1). 141–143. 4 indexed citations
8.
Beckmann, Alf, Frank Gebhardt, & Burkhard Brandt. (1998). Direct quantification of polymerase chain reaction fragments using field-amplified sample injection in capillary zone electrophoresis for gene dosage estimation. Journal of Chromatography B. 710. 75–8012. 4 indexed citations
9.
Beckmann, Alf, Frank Gebhardt, & Burkhard Brandt. (1998). Direct quantification of polymerase chain reaction fragments using field-amplified sample injection in capillary zone electrophoresis for gene dosage estimation. Journal of Chromatography B Biomedical Sciences and Applications. 710(1-2). 75–80. 6 indexed citations
10.
Brandt, Burkhard, Alf Beckmann, Frank Gebhardt, et al.. (1997). Translational research studies of erbB oncogenes: selection strategies for breast cancer treatment. Cancer Letters. 118(2). 143–151. 6 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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