Barbara Kusterer

823 total citations
19 papers, 623 citations indexed

About

Barbara Kusterer is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Barbara Kusterer has authored 19 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 10 papers in Genetics and 5 papers in Agronomy and Crop Science. Recurrent topics in Barbara Kusterer's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (7 papers) and Sunflower and Safflower Cultivation (6 papers). Barbara Kusterer is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (7 papers) and Sunflower and Safflower Cultivation (6 papers). Barbara Kusterer collaborates with scholars based in Germany, Poland and United States. Barbara Kusterer's co-authors include Albrecht E. Melchinger, Thomas Altmann, Hans‐Peter Piepho, Rhonda C. Meyer, J. Muminović, H. Friedrich Utz, Renate Horn, Ottó Törjék, Wolfgang Friedt and W. Friedt and has published in prestigious journals such as Genetics, Theoretical and Applied Genetics and Euphytica.

In The Last Decade

Barbara Kusterer

18 papers receiving 598 citations

Peers

Barbara Kusterer

GENET

ACS

J. Muminović Germany

Vilson Mirdita Germany

Helge Skinnes Norway

Gerald N. De La Fuente United States

Axel Schechert Germany

Ralf Schachschneider Germany

Meriem Aoun United States

Bernd Truberg Germany

Paul Eckermann Australia

Tina Henriksson Sweden

J. Muminović Germany

Barbara Kusterer

341 ×0.6

292 ×0.8

GENET

70 ×0.5

22 ×0.5

ACS

32 ×0.8

Citations per year, relative to Barbara Kusterer Barbara Kusterer (= 1×) peers J. Muminović

Countries citing papers authored by Barbara Kusterer

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Kusterer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Kusterer

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

All Works

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19 of 19 papers shown

Hackauf, Bernd, et al.. (2017). QTL mapping and comparative genome analysis of agronomic traits including grain yield in winter rye. Theoretical and Applied Genetics. 130(9). 1801–1817. 21 indexed citations

Jansen, Gisela, et al.. (2014). High throughput analysis of grain quality parameters for hybrid rye breeding. 17. 1 indexed citations

Kusterer, Barbara, et al.. (2013). Analysis of Covariation of Grain Yield and Dry Matter Yield for Breeding Dual Use Hybrid Rye. BioEnergy Research. 7(1). 424–429. 12 indexed citations

Schrag, Tobias A., Jens Möhring, Albrecht E. Melchinger, et al.. (2009). Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds. Theoretical and Applied Genetics. 120(2). 451–461. 56 indexed citations

Meyer, Rhonda C., Barbara Kusterer, Jan Lisec, et al.. (2009). QTL analysis of early stage heterosis for biomass in Arabidopsis. Theoretical and Applied Genetics. 120(2). 227–237. 72 indexed citations

Reif, Jochen C., Barbara Kusterer, Hans‐Peter Piepho, et al.. (2008). Unraveling Epistasis With Triple Testcross Progenies of Near-Isogenic Lines. Genetics. 181(1). 247–257. 30 indexed citations

Kusterer, Barbara, J. Muminović, H. Friedrich Utz, et al.. (2007). Analysis of a Triple Testcross Design With Recombinant Inbred Lines Reveals a Significant Role of Epistasis in Heterosis for Biomass-Related Traits in Arabidopsis. Genetics. 175(4). 2009–2017. 57 indexed citations

Melchinger, Albrecht E., Hans‐Peter Piepho, H. Friedrich Utz, et al.. (2007). Genetic Basis of Heterosis for Growth-Related Traits in Arabidopsis Investigated by Testcross Progenies of Near-Isogenic Lines Reveals a Significant Role of Epistasis. Genetics. 177(3). 1827–1837. 79 indexed citations

Kusterer, Barbara, Hans‐Peter Piepho, H. Friedrich Utz, et al.. (2007). Heterosis for Biomass-Related Traits in Arabidopsis Investigated by Quantitative Trait Loci Analysis of the Triple Testcross Design With Recombinant Inbred Lines. Genetics. 177(3). 1839–1850. 57 indexed citations

10.

Törjék, Ottó, Hanna Witucka‐Wall, Rhonda C. Meyer, et al.. (2006). Segregation distortion in Arabidopsis C24/Col-0 and Col-0/C24 recombinant inbred line populations is due to reduced fertility caused by epistatic interaction of two loci. Theoretical and Applied Genetics. 113(8). 1551–1561. 67 indexed citations

11.

Melchinger, Albrecht E., et al.. (2006). Comparison of linkage maps from F2 and three times intermated generations in two populations of European flint maize (Zea mays L.). Theoretical and Applied Genetics. 113(5). 857–866. 11 indexed citations

12.

Montes, Juan M., Christian Paúl, Barbara Kusterer, & Albrecht E. Melchinger. (2006). Near Infrared Spectroscopy to Measure Maize Grain Composition on Plot Combine Harvesters: Evaluation of Calibration Techniques, Mathematical Transformations and Scatter Corrections. Journal of Near Infrared Spectroscopy. 14(6). 387–394. 7 indexed citations

13.

Montes, Juan M., H. Friedrich Utz, Wolfgang Schipprack, et al.. (2006). Near‐infrared spectroscopy on combine harvesters to measure maize grain dry matter content and quality parameters. Plant Breeding. 125(6). 591–595. 38 indexed citations

14.

Kusterer, Barbara, Renate Horn, & W. Friedt. (2005). Molecular mapping of the fertility restoration locus Rf1 in sunflower and development of diagnostic markers for the restorer gene. Euphytica. 143(1-2). 35–42. 19 indexed citations

15.

Kusterer, Barbara, et al.. (2004). Construction of a genetic map and localization of major traits in sunflower, Helianthus annuus L. Helia. 27(40). 15–24. 6 indexed citations

16.

Kusterer, Barbara, et al.. (2004). Map-based cloning strategy for isolating the restorer gene rf1 of the pet1 cytoplasm in sunflower, Helianthus annuus L. Helia. 27(40). 1–14. 10 indexed citations

17.

Horn, Renate, et al.. (2003). Molecular mapping of the Rf1 gene restoring pollen fertility in PET1-based F1 hybrids in sunflower (Helianthus annuus L.). Theoretical and Applied Genetics. 106(4). 599–606. 67 indexed citations

18.

Kusterer, Barbara, et al.. (2002). Mapping of the restorer gene Rf1 in sunflower (Helianthus annuus L). Helia. 25(36). 41–46. 6 indexed citations

19.

Horn, Renate, et al.. (2002). Molecular diversity of CMS sources and fertility restoration in the genus: Helianthus. Helia. 25(36). 29–40. 7 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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