Dietmar Becher

29 total papers · 545 total citations
18 papers, 286 citations indexed

About

Dietmar Becher is a scholar working on Molecular Biology, Infectious Diseases and Biotechnology. According to data from OpenAlex, Dietmar Becher has authored 18 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Biotechnology. Recurrent topics in Dietmar Becher's work include Fungal and yeast genetics research (4 papers), Plant tissue culture and regeneration (3 papers) and Microbial Inactivation Methods (3 papers). Dietmar Becher is often cited by papers focused on Fungal and yeast genetics research (4 papers), Plant tissue culture and regeneration (3 papers) and Microbial Inactivation Methods (3 papers). Dietmar Becher collaborates with scholars based in Germany, United Kingdom and New Zealand. Dietmar Becher's co-authors include Thomas Lisowsky, Martin H. Groschup, Ariel Vina-Rodrı́guez, Bernd H. A. Rehm, Verena Peters, Martin Eiden, Volker Kaden, Josephine Schlosser, Holger Wedler and Torsten Stein and has published in prestigious journals such as Molecular Biology of the Cell, PLoS Pathogens and Journal of Biotechnology.

In The Last Decade

Dietmar Becher

17 papers receiving 281 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dietmar Becher 154 73 68 26 24 18 286
Makiko Takagi 75 0.5× 73 1.0× 89 1.3× 62 2.4× 74 3.1× 21 317
Xiaoyue Bi 120 0.8× 67 0.9× 14 0.2× 30 1.2× 70 2.9× 23 316
Yi-Ting Chen 103 0.7× 14 0.2× 34 0.5× 16 0.6× 37 1.5× 25 294
Beniamino Schiavone 81 0.5× 60 0.8× 90 1.3× 7 0.3× 43 1.8× 18 291
Hai Li 68 0.4× 35 0.5× 43 0.6× 11 0.4× 85 3.5× 29 238
Gang Wang 124 0.8× 32 0.4× 186 2.7× 7 0.3× 50 2.1× 14 321
Rosana Ottakandathil Babu 101 0.7× 32 0.4× 29 0.4× 112 4.3× 18 0.8× 19 302
Yilin Zhao 117 0.8× 13 0.2× 40 0.6× 28 1.1× 49 2.0× 30 299
Xingzhi Li 220 1.4× 32 0.4× 16 0.2× 25 1.0× 31 1.3× 10 328
Chao Fu 64 0.4× 31 0.4× 139 2.0× 24 0.9× 37 1.5× 16 325

Countries citing papers authored by Dietmar Becher

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Becher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Becher

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

All Works

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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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