Britta Schulz

1.6k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Britta Schulz is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Britta Schulz has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 10 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Britta Schulz's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Disease Resistance and Genetics (8 papers) and Genetics and Plant Breeding (8 papers). Britta Schulz is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Disease Resistance and Genetics (8 papers) and Genetics and Plant Breeding (8 papers). Britta Schulz collaborates with scholars based in Germany, Spain and United States. Britta Schulz's co-authors include Bernd Weißhaar, Albrecht E. Melchinger, Heinz Himmelbauer, Juliane C. Dohm, Daniela Holtgräwe, Hans Lehrach, Thomas Rosleff Sörensen, D. Klein, Thomas Kraft and Alexander Goesmann and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Britta Schulz

28 papers receiving 1.1k citations

Hit Papers

The genome of the recently domesticated crop plant sugar ... 2013 2026 2017 2021 2013 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
Britta Schulz Germany 19 979 378 333 74 63 29 1.1k
Elena Potokina Russia 18 909 0.9× 396 1.0× 347 1.0× 101 1.4× 69 1.1× 62 1.1k
Sunil Archak India 15 534 0.5× 291 0.8× 230 0.7× 50 0.7× 60 1.0× 51 794
L. S. Lee Australia 6 651 0.7× 222 0.6× 264 0.8× 133 1.8× 98 1.6× 8 875
Jung‐Kyung Moon South Korea 24 1.5k 1.6× 284 0.8× 181 0.5× 51 0.7× 78 1.2× 78 1.7k
Jeroen Rouppe van der Voort Netherlands 20 1.2k 1.2× 221 0.6× 407 1.2× 121 1.6× 53 0.8× 26 1.3k
Jean‐Marie Jacquemin Belgium 16 887 0.9× 373 1.0× 256 0.8× 52 0.7× 47 0.7× 51 1.1k
Cecilia McGregor United States 19 1.1k 1.1× 357 0.9× 631 1.9× 150 2.0× 83 1.3× 54 1.3k
G. A. Churchill United States 4 1.2k 1.2× 291 0.8× 616 1.8× 104 1.4× 138 2.2× 6 1.4k
Claudio De Giovanni Italy 14 765 0.8× 180 0.5× 202 0.6× 55 0.7× 43 0.7× 27 858
S. J. Wall United States 6 939 1.0× 183 0.5× 646 1.9× 57 0.8× 85 1.3× 8 1.1k

Countries citing papers authored by Britta Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Britta Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Britta Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Britta Schulz. A scholar is included among the top collaborators of Britta Schulz 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 Britta Schulz. Britta Schulz 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.
Stralis‐Pavese, Nancy, et al.. (2022). Genomic distances reveal relationships of wild and cultivated beets. Nature Communications. 13(1). 2021–2021. 32 indexed citations
2.
Albacete, Alfonso, Britta Schulz, Wolfgang Koch, et al.. (2020). Early‐stage sugar beet taproot development is characterized by three distinct physiological phases. Plant Direct. 4(7). e00221–e00221. 23 indexed citations
3.
Fort, Antoine, et al.. (2018). Hybridity has a greater effect than paternal genome dosage on heterosis in sugar beet (Beta vulgaris). BMC Plant Biology. 18(1). 120–120. 8 indexed citations
5.
Weißhaar, Bernd, Heinz Himmelbauer, Thomas Schmidt, et al.. (2016). Sugar Beet BeetMap-3, and Steps to Improve the Genome Assembly and Genome Sequence Annotation (W875). PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations
7.
Holtgräwe, Daniela, Thomas Rosleff Sörensen, Prisca Viehöver, et al.. (2014). Reliable In Silico Identification of Sequence Polymorphisms and Their Application for Extending the Genetic Map of Sugar Beet (Beta vulgaris). PLoS ONE. 9(10). e110113–e110113. 15 indexed citations
8.
Dohm, Juliane C., André E. Minoche, Daniela Holtgräwe, et al.. (2013). The genome of the recently domesticated crop plant sugar beet (Beta vulgaris). Nature. 505(7484). 546–549. 478 indexed citations breakdown →
9.
Dohm, Juliane C., Daniela Holtgräwe, Thomas Rosleff Sörensen, et al.. (2011). Palaeohexaploid ancestry for Caryophyllales inferred from extensive gene‐based physical and genetic mapping of the sugar beet genome (Beta vulgaris). The Plant Journal. 70(3). 528–540. 36 indexed citations
10.
Weltmeier, Fridtjof, Steffen Hennig, Martina Schad, et al.. (2011). Transcript Profiles in Sugar Beet Genotypes Uncover Timing and Strength of Defense Reactions toCercospora beticolaInfection. Molecular Plant-Microbe Interactions. 24(7). 758–772. 20 indexed citations
11.
Würschum, Tobias, Hans Peter Maurer, Britta Schulz, Jens Möhring, & Jochen C. Reif. (2011). Genome-wide association mapping reveals epistasis and genetic interaction networks in sugar beet. Theoretical and Applied Genetics. 123(1). 109–118. 44 indexed citations
12.
Stich, Benjamin, Hans‐Peter Piepho, Britta Schulz, & Albrecht E. Melchinger. (2008). Multi-trait association mapping in sugar beet (Beta vulgaris L.). Theoretical and Applied Genetics. 117(6). 947–954. 42 indexed citations
13.
Bellin, Diana, et al.. (2007). Transcript profiles at different growth stages and tap-root zones identify correlated developmental and metabolic pathways of sugar beet. Journal of Experimental Botany. 58(3). 699–715. 23 indexed citations
14.
Durstewitz, Gregor, Andreas Polley, Eberhard Weber, et al.. (2007). Analysis of DNA polymorphisms in sugar beet (Beta vulgaris L.) and development of an SNP-based map of expressed genes. Theoretical and Applied Genetics. 115(5). 601–615. 50 indexed citations
15.
Herwig, Ralf, Britta Schulz, Bernd Weißhaar, et al.. (2002). Construction of a ‘unigene’ cDNA clone set by oligonucleotide fingerprinting allows access to 25 000 potential sugar beet genes. The Plant Journal. 32(5). 845–857. 38 indexed citations
16.
Melchinger, Albrecht E., et al.. (2001). QTL mapping for resistance to European corn borer (Ostrinia nubilalis Hb.) in early maturing European dent maize (Zea mays L.) germplasm and comparison of genomic regions for resistance across two populations of f 3 families. Maydica. 46(3). 195–205. 18 indexed citations
18.
Boerner, Thomas, Bernd Linke, Britta Schulz, et al.. (1995). Inheritance of nuclear and cytoplasmic factors affecting male sterility in Daucus carota. 12 indexed citations
19.
Kuntze, L., et al.. (1995). Evaluation of maize inbred Iines for resistance to sugarcane mosaic virus (SCMV) and maize dwarf mosaic virus (MDMV). Agronomie. 15(7-8). 463–467. 19 indexed citations
20.
Schulz, Britta, Lore Westphal, & G. Wricke. (1993). Linkage groups of isozymes, RFLP and RAPD markers in carrot (Daucus carota L. sativus). Euphytica. 74(1-2). 67–76. 18 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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