U. Ahrens

2.1k total citations · 2 hit papers
9 papers, 1.7k citations indexed

About

U. Ahrens is a scholar working on Plant Science, Cell Biology and Microbiology. According to data from OpenAlex, U. Ahrens has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Cell Biology and 3 papers in Microbiology. Recurrent topics in U. Ahrens's work include Plant Pathogenic Bacteria Studies (7 papers), Phytoplasmas and Hemiptera pathogens (5 papers) and Microbial infections and disease research (3 papers). U. Ahrens is often cited by papers focused on Plant Pathogenic Bacteria Studies (7 papers), Phytoplasmas and Hemiptera pathogens (5 papers) and Microbial infections and disease research (3 papers). U. Ahrens collaborates with scholars based in Germany, United States and Italy. U. Ahrens's co-authors include E. Seemüller, Bruce C. Kirkpatrick, Michael Maixner, K.‐H. Lorenz, Bernd Schneider, N. A. Harrison, Bernd Schneider, Christine D. Smart, C. L. Blomquist and Lauren Guerra and has published in prestigious journals such as Applied and Environmental Microbiology, Phytopathology and Molecular Plant-Microbe Interactions.

In The Last Decade

U. Ahrens

9 papers receiving 1.5k citations

Hit Papers

Phytoplasma-specific PCR primers based on sequences of th... 1992 2026 2003 2014 1996 1992 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Ahrens Germany 9 1.7k 972 407 197 72 9 1.7k
Ing‐Ming Lee United States 23 2.5k 1.5× 1.3k 1.3× 806 2.0× 195 1.0× 153 2.1× 41 2.5k
Carmine Marcone Italy 26 2.6k 1.6× 1.5k 1.5× 836 2.1× 271 1.4× 129 1.8× 114 2.7k
E. L. Dally United States 21 1.0k 0.6× 561 0.6× 372 0.9× 86 0.4× 97 1.3× 50 1.1k
John V. da Graça United States 18 1.4k 0.9× 423 0.4× 675 1.7× 119 0.6× 141 2.0× 72 1.5k
D. C. Teixeira Brazil 18 1.2k 0.7× 602 0.6× 594 1.5× 70 0.4× 93 1.3× 31 1.3k
Sandrine Jagoueix France 8 1.1k 0.7× 404 0.4× 511 1.3× 45 0.2× 92 1.3× 8 1.1k
Lia W. Liefting New Zealand 21 1.6k 1.0× 409 0.4× 755 1.9× 78 0.4× 109 1.5× 48 1.7k
J. Hodgetts United Kingdom 16 654 0.4× 292 0.3× 243 0.6× 114 0.6× 85 1.2× 36 827
Sandrine Eveillard France 12 876 0.5× 350 0.4× 440 1.1× 44 0.2× 84 1.2× 26 911
R. Jomantienė United States 18 832 0.5× 415 0.4× 316 0.8× 68 0.3× 92 1.3× 60 926

Countries citing papers authored by U. Ahrens

Since Specialization
Citations

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

Fields of papers citing papers by U. Ahrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Ahrens

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

All Works

9 of 9 papers shown
1.
Pinior, Beate, et al.. (2012). The German milky way: trade structure of the milk industry and possible consequences of a food crisis. Journal on Chain and Network Science. 12(1). 25–40. 15 indexed citations
2.
Smart, Christine D., Bernd Schneider, C. L. Blomquist, et al.. (1996). Phytoplasma-specific PCR primers based on sequences of the 16S-23S rRNA spacer region. Applied and Environmental Microbiology. 62(8). 2988–2993. 497 indexed citations breakdown →
3.
Maixner, Michael, U. Ahrens, & E. Seemüller. (1995). Detection of the German grapevine yellows (Vergilbungskrankheit) MLO in grapevine, alternative hosts and a vector by a specific PCR procedure. European Journal of Plant Pathology. 101(3). 241–250. 220 indexed citations
4.
Seemüller, E., Bernd Schneider, R. Maurer, et al.. (1994). Phylogenetic Classification of Phytopathogenic Mollicutes by Sequence Analysis of 16S Ribosomal DNA. International Journal of Systematic Bacteriology. 44(3). 440–446. 205 indexed citations
5.
Maixner, Michael, U. Ahrens, & E. Seemüller. (1994). Detection of Mycoplasmalike Organisms associated with a Yellows Disease of Grapevine in Germany. Journal of Phytopathology. 142(1). 1–10. 23 indexed citations
6.
Ahrens, U. & E. Seemüller. (1994). Detection of mycoplasmalike organisms in declining oaks by polymerase chain reaction. European Journal of Forest Pathology. 24(1). 55–63. 41 indexed citations
7.
Schneider, Bernd, U. Ahrens, Bruce C. Kirkpatrick, & E. Seemüller. (1993). Classification of plant-pathogenic mycoplasma-like organisms using restriction-site analysis of PCR-amplified 16S rDNA. Journal of General Microbiology. 139(3). 519–527. 200 indexed citations
8.
Ahrens, U.. (1993). Genetic Diversity Among Mycoplasmalike Organisms Associated with Stone Fruit Diseases. Molecular Plant-Microbe Interactions. 6(6). 686–686. 39 indexed citations
9.
Ahrens, U.. (1992). Detection of DNA of Plant Pathogenic Mycoplasmalike Organisms by a Polymerase Chain Reaction that Amplifies a Sequence of the 16S rRNA Gene. Phytopathology. 82(8). 828–828. 477 indexed citations breakdown →

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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