Gabriele Flekna

543 total citations
7 papers, 409 citations indexed

About

Gabriele Flekna is a scholar working on Molecular Biology, Food Science and Infectious Diseases. According to data from OpenAlex, Gabriele Flekna has authored 7 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Food Science and 3 papers in Infectious Diseases. Recurrent topics in Gabriele Flekna's work include Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and RNA and protein synthesis mechanisms (2 papers). Gabriele Flekna is often cited by papers focused on Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and RNA and protein synthesis mechanisms (2 papers). Gabriele Flekna collaborates with scholars based in Austria, Germany and Slovenia. Gabriele Flekna's co-authors include Martin Wagner, Ingeborg Hein, Frans J.M. Smulders, Polonca Štefanič, Sonja Smole Možina, Franz Allerberger, Alexandre Leclercq, Colin Hill, Beatrix Stessl and Maria Cristina Domingues Fink and has published in prestigious journals such as Applied and Environmental Microbiology, Developmental Dynamics and Journal of Food Protection.

In The Last Decade

Gabriele Flekna

7 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Flekna Austria 7 212 171 127 89 79 7 409
Chien‐Ku Lin Taiwan 10 219 1.0× 171 1.0× 76 0.6× 62 0.7× 58 0.7× 16 352
Takashi Soejima Japan 12 113 0.5× 146 0.9× 47 0.4× 91 1.0× 135 1.7× 20 405
C Höfelein Switzerland 8 196 0.9× 126 0.7× 136 1.1× 40 0.4× 76 1.0× 8 328
H.J. Beckers Netherlands 13 357 1.7× 145 0.8× 230 1.8× 78 0.9× 48 0.6× 40 559
Heather P. McLaughlin United States 11 117 0.6× 129 0.8× 114 0.9× 39 0.4× 30 0.4× 23 351
Rieck Petra Austria 5 195 0.9× 342 2.0× 159 1.3× 27 0.3× 80 1.0× 6 564
Irati Martínez-Malaxetxebarria Spain 11 268 1.3× 117 0.7× 50 0.4× 43 0.5× 97 1.2× 25 363
Felipe Molina Spain 11 130 0.6× 284 1.7× 29 0.2× 54 0.6× 74 0.9× 22 508
Tim Muruvanda United States 10 223 1.1× 155 0.9× 71 0.6× 36 0.4× 117 1.5× 20 412
José Emilio Rebollo Spain 11 195 0.9× 282 1.6× 39 0.3× 51 0.6× 62 0.8× 15 487

Countries citing papers authored by Gabriele Flekna

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Flekna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Flekna

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

All Works

7 of 7 papers shown
1.
Hein, Ingeborg, Gabriele Flekna, Beatrix Stessl, et al.. (2011). Stress Survival Islet 1 (SSI-1) Survey in Listeria monocytogenes Reveals an Insert Common to Listeria innocua in Sequence Type 121 L. monocytogenes Strains. Applied and Environmental Microbiology. 77(6). 2169–2173. 58 indexed citations
2.
Wadl, Maria, Gabriele Flekna, Leslie Thompson, et al.. (2009). Easy-to-Use Rapid Test for Direct Detection of Campylobacter spp. in Chicken Feces. Journal of Food Protection. 72(12). 2483–2488. 17 indexed citations
3.
Flekna, Gabriele, et al.. (2008). Studying the effect of single mismatches in primer and probe binding regions on amplification curves and quantification in real-time PCR. Journal of Microbiological Methods. 76(3). 316–319. 47 indexed citations
4.
Flekna, Gabriele, Polonca Štefanič, Martin Wagner, et al.. (2007). Insufficient differentiation of live and dead Campylobacter jejuni and Listeria monocytogenes cells by ethidium monoazide (EMA) compromises EMA/real-time PCR. Research in Microbiology. 158(5). 405–412. 105 indexed citations
5.
Flekna, Gabriele, et al.. (2007). Real-time PCR method with statistical analysis to compare the potential of DNA isolation methods to remove PCR inhibitors from samples for diagnostic PCR. Molecular and Cellular Probes. 21(4). 282–287. 36 indexed citations
6.
Hein, Ingeborg, et al.. (2006). Real-time PCR for the detection of Salmonella spp. in food: An alternative approach to a conventional PCR system suggested by the FOOD-PCR project. Journal of Microbiological Methods. 66(3). 538–547. 120 indexed citations
7.
Fink, Maria Cristina Domingues, Gabriele Flekna, Alfred Ludwig, Thomas Heimbucher, & Thomas Czerny. (2006). Improved translation efficiency of injected mRNA during early embryonic development. Developmental Dynamics. 235(12). 3370–3378. 26 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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