Tamara Schenekar

1.1k total citations
21 papers, 343 citations indexed

About

Tamara Schenekar is a scholar working on Ecology, Molecular Biology and Genetics. According to data from OpenAlex, Tamara Schenekar has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 11 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Tamara Schenekar's work include Environmental DNA in Biodiversity Studies (11 papers), Identification and Quantification in Food (9 papers) and Genetic diversity and population structure (6 papers). Tamara Schenekar is often cited by papers focused on Environmental DNA in Biodiversity Studies (11 papers), Identification and Quantification in Food (9 papers) and Genetic diversity and population structure (6 papers). Tamara Schenekar collaborates with scholars based in Austria, Germany and United States. Tamara Schenekar's co-authors include Steven Weiss, Martin Schletterer, Laurène Alicia Lecaudey, E. Lerceteau-Köhler, Ehsan Pashay Ahi, Elsa Froufe, Eric B. Taylor, Byron Weckworth, Henri Persat and Monica Mwale and has published in prestigious journals such as Molecular Ecology, Molecular Phylogenetics and Evolution and Hydrobiologia.

In The Last Decade

Tamara Schenekar

18 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Schenekar Austria 7 242 177 101 95 36 21 343
Pierre‐Édouard Guérin France 8 213 0.9× 199 1.1× 90 0.9× 72 0.8× 30 0.8× 10 345
Emmanuel Corse France 12 331 1.4× 217 1.2× 58 0.6× 128 1.3× 49 1.4× 22 424
Annika M. Lamb Australia 5 125 0.5× 75 0.4× 140 1.4× 100 1.1× 37 1.0× 8 270
Caterina M. Antognazza Italy 9 157 0.6× 99 0.6× 51 0.5× 127 1.3× 60 1.7× 20 239
Lori Lawson Handley United Kingdom 5 325 1.3× 242 1.4× 104 1.0× 91 1.0× 14 0.4× 8 432
Matthew P. Galaska United States 10 285 1.2× 166 0.9× 55 0.5× 83 0.9× 33 0.9× 17 347
Daniel J. MacGuigan United States 9 76 0.3× 100 0.6× 108 1.1× 111 1.2× 36 1.0× 20 277
Shengyong Xu China 10 106 0.4× 129 0.7× 111 1.1× 64 0.7× 38 1.1× 32 297
Nicholas M. Sard United States 11 248 1.0× 133 0.8× 104 1.0× 220 2.3× 54 1.5× 28 351
Nikoleta Karaiskou Greece 10 108 0.4× 103 0.6× 132 1.3× 64 0.7× 70 1.9× 30 275

Countries citing papers authored by Tamara Schenekar

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Schenekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Schenekar

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Schenekar. A scholar is included among the top collaborators of Tamara Schenekar 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 Tamara Schenekar. Tamara Schenekar 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.
Papakostas, Spiros, Tamara Schenekar, & Ehsan Pashay Ahi. (2025). Translational biodiversity beyond genomics: toward systemic action. California Digital Library. 1 indexed citations
2.
Ahi, Ehsan Pashay & Tamara Schenekar. (2025). The Promise of Environmental RNA Research Beyond mRNA. Molecular Ecology. 34(12). e17787–e17787. 4 indexed citations
3.
4.
Schenekar, Tamara, et al.. (2024). Optimizing waterborne eDNA capture from waterholes in savanna systems under remote field conditions. Molecular Ecology Resources. 24(4). e13942–e13942. 6 indexed citations
5.
Schenekar, Tamara, et al.. (2024). eDNA State and Medium Affect DNA Degradation Patterns in Seminatural Systems of Southern African Waterholes. Environmental DNA. 6(5). 1 indexed citations
6.
Schenekar, Tamara, Andreas Weiß, & Steven Weiss. (2023). Applying molecular genetic data at different scales to support conservation assessment of European Habitats Directive listed species: A case study of Eurasian otter in Austria. Evolutionary Applications. 16(10). 1735–1752. 1 indexed citations
7.
Schenekar, Tamara, et al.. (2022). The last hideout: Abundance patterns of the not‐quite‐yet extinct mayfly Prosopistoma pennigerum in the Albanian Vjosa River network. Insect Conservation and Diversity. 16(2). 285–297. 3 indexed citations
8.
Weiss, Steven, Henri Persat, Gaël P.J. Denys, et al.. (2022). Evaluating a species phylogeny using ddRAD SNPs: Cyto-nuclear discordance and introgression in the salmonid genus Thymallus (Salmonidae). Molecular Phylogenetics and Evolution. 178. 107654–107654. 10 indexed citations
9.
10.
Schenekar, Tamara, Adam Thomas Clark, Werner E. Holzinger, & Steven Weiss. (2022). Presence of spraint at bridges as an effective monitoring tool to assess current Eurasian fish otter distribution in Austria. European Journal of Wildlife Research. 68(5).
11.
Altermatt, Florian, Wolfram Graf, Tamara Schenekar, et al.. (2021). Tracing the almost extinct mayfly Prosopistoma pennigerum (Müller, 1785) – an eDNA approach. Zenodo (CERN European Organization for Nuclear Research). 4. 1 indexed citations
12.
13.
Schenekar, Tamara, Martin Schletterer, & Steven Weiss. (2020). eDNA als neues Werkzeug für das Gewässermonitoring – Potenzial und Rahmenbedingungen anhand ausgewählter Anwendungsbeispiele aus Österreich. Österreichische Wasser- und Abfallwirtschaft. 72(3-4). 155–164. 4 indexed citations
14.
Schenekar, Tamara, Martin Schletterer, & Steven Weiss. (2020). Development of a TaqMan qPCR protocol for detecting Acipenser ruthenus in the Volga headwaters from eDNA samples. Conservation Genetics Resources. 12(3). 395–397. 8 indexed citations
15.
Schenekar, Tamara, Martin Schletterer, Laurène Alicia Lecaudey, & Steven Weiss. (2020). Reference databases, primer choice, and assay sensitivity for environmental metabarcoding: Lessons learnt from a re‐evaluation of an eDNA fish assessment in the Volga headwaters. River Research and Applications. 36(7). 1004–1013. 102 indexed citations
16.
17.
Weiss, Steven & Tamara Schenekar. (2016). Genetic evaluation of the self-sustaining status of a population of the endangered Danube salmon, Hucho hucho. Hydrobiologia. 775(1). 153–165. 6 indexed citations
18.
Schenekar, Tamara, E. Lerceteau-Köhler, & Steven Weiss. (2014). Fine-scale phylogeographic contact zone in Austrian brown trout Salmo trutta reveals multiple waves of post-glacial colonization and a pre-dominance of natural versus anthropogenic admixture. Conservation Genetics. 15(3). 561–572. 37 indexed citations
19.
Schenekar, Tamara & Steven Weiss. (2011). High rate of calculation errors in mismatch distribution analysis results in numerous false inferences of biological importance. Heredity. 107(6). 511–512. 67 indexed citations
20.
Schenekar, Tamara, et al.. (2010). Isolation and Characterization of the CYP2D6 Gene in Felidae with Comparison to Other Mammals. Journal of Molecular Evolution. 72(2). 222–231. 1 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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