Marcus Linde

2.1k total citations
55 papers, 1.2k citations indexed

About

Marcus Linde is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Marcus Linde has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 23 papers in Molecular Biology and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Marcus Linde's work include Powdery Mildew Fungal Diseases (14 papers), Plant Pathogens and Resistance (13 papers) and Plant Pathogens and Fungal Diseases (12 papers). Marcus Linde is often cited by papers focused on Powdery Mildew Fungal Diseases (14 papers), Plant Pathogens and Resistance (13 papers) and Plant Pathogens and Fungal Diseases (12 papers). Marcus Linde collaborates with scholars based in Germany, France and Kenya. Marcus Linde's co-authors include Thomas Debener, Helgard Kaufmann, M.J.M. Smulders, Dietmar Schulz, Traud Winkelmann, Fabrice Foucher, Amàlia Grau, Jan De Riek, L. Mattiesch and Kerstin Wydra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Marcus Linde

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcus Linde Germany	20	910	551	235	230	209	55	1.2k
Kelly Vining United States	18	866 1.0×	610 1.1×	89 0.4×	142 0.6×	127 0.6×	43	1.1k
Martijn van Kaauwen Netherlands	16	703 0.8×	326 0.6×	160 0.7×	182 0.8×	84 0.4×	25	890
Barbara Vornam Germany	13	552 0.6×	546 1.0×	105 0.4×	105 0.5×	217 1.0×	35	1.1k
Tetyana Zhebentyayeva United States	22	1.6k 1.7×	929 1.7×	135 0.6×	335 1.5×	162 0.8×	48	1.8k
Christiane M. Ritz Germany	17	626 0.7×	428 0.8×	541 2.3×	75 0.3×	234 1.1×	54	962
Stan C. Hokanson United States	20	1.2k 1.3×	453 0.8×	205 0.9×	422 1.8×	218 1.0×	85	1.4k
Volker Wissemann Germany	16	619 0.7×	389 0.7×	485 2.1×	78 0.3×	239 1.1×	46	930
Wim J. M. Koopman Netherlands	14	593 0.7×	347 0.6×	310 1.3×	140 0.6×	312 1.5×	21	895
G. Werlemark Sweden	18	729 0.8×	387 0.7×	313 1.3×	73 0.3×	305 1.5×	44	938
Philip L. Forsline United States	20	814 0.9×	384 0.7×	189 0.8×	300 1.3×	90 0.4×	42	965

Countries citing papers authored by Marcus Linde

Since Specialization

Citations

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

Fields of papers citing papers by Marcus Linde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Linde

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

All Works

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20 of 20 papers shown

Schulz, Dietmar, et al.. (2025). Beyond bloom: validated marker–trait discovery for polyploid roses via GWAS. Frontiers in Plant Science. 16. 1591861–1591861.

Thomsen, Trine Rolighed, et al.. (2024). Development of a robust SNP marker set for genotyping diverse gene bank collections of polyploid roses. BMC Plant Biology. 24(1). 1076–1076. 1 indexed citations

Debener, Thomas, et al.. (2024). Association of Single Nucleotide Polymorphisms (SNPS) to Black Spot Resistance in Roses. Agro Bali Agricultural Journal. 7(1). 1–16. 1 indexed citations

Linde, Marcus, et al.. (2024). Automated image registration of RGB, hyperspectral and chlorophyll fluorescence imaging data. Plant Methods. 20(1). 175–175. 6 indexed citations

Linde, Marcus, et al.. (2023). Potato Wart Isolates from Europe and North America Form Distinct Clusters of Genetic Variation. Life. 13(9). 1883–1883. 1 indexed citations

Schulz, Dietmar, Marcus Linde, & Thomas Debener. (2023). Robust markers associated with floral traits in roses are suitable for marker-assisted selection across gene pools. Molecular Breeding. 43(12). 90–90. 1 indexed citations

Lakhwani, Deepika, et al.. (2020). Analysis of the Rdr1 gene family in different Rosaceae genomes reveals an origin of an R-gene cluster after the split of Rubeae within the Rosoideae subfamily. PLoS ONE. 15(1). e0227428–e0227428. 5 indexed citations

Rusanov, Krasimir, et al.. (2019). Genetic control of flower petal number in Rosa x Damascena Mill f. trigintipetala. Biotechnology & Biotechnological Equipment. 33(1). 597–604. 4 indexed citations

Smulders, M.J.M., Paul Arens, Peter M. Bourke, et al.. (2019). In the name of the rose: a roadmap for rose research in the genome era. Horticulture Research. 6(1). 65–65. 60 indexed citations

10.

Linde, Marcus, et al.. (2018). Morphological characterization, genetic diversity and population structure of African nightshades (section Solanum L.). Genetic Resources and Crop Evolution. 66(1). 105–120. 7 indexed citations

11.

Lübeck, Jens, Josef Strahwald, Eckhard Tacke, et al.. (2018). Maximization of Markers Linked in Coupling for Tetraploid Potatoes via Monoparental Haploids. Frontiers in Plant Science. 9. 620–620. 4 indexed citations

12.

Linde, Marcus, et al.. (2017). African nightshades: genetic, biochemical and metabolite diversity of an underutilised indigenous leafy vegetable and its potential for plant breeding. The Journal of Horticultural Science and Biotechnology. 93(2). 113–121. 9 indexed citations

13.

Linde, Marcus, et al.. (2016). Strigolactone pathway genes and plant architecture: association analysis and QTL detection for horticultural traits in chrysanthemum. Molecular Genetics and Genomics. 291(2). 957–969. 18 indexed citations

14.

Schulz, Dietmar, et al.. (2016). Genome-Wide Association Analysis of the Anthocyanin and Carotenoid Contents of Rose Petals. Frontiers in Plant Science. 7. 1798–1798. 54 indexed citations

15.

Kaufmann, Helgard, et al.. (2011). Mining Disease-Resistance Genes in Roses: Functional and Molecular Characterization of the Rdr1 Locus. SHILAP Revista de lepidopterología. 2. 35–35. 27 indexed citations

16.

Linde, Marcus, Laurence Hibrand‐Saint Oyant, David Byrne, et al.. (2010). Towards a unified genetic map for diploid roses. Theoretical and Applied Genetics. 122(3). 489–500. 90 indexed citations

17.

Schulz, Dietmar, et al.. (2009). Evaluation of genus Rosa germplasm for resistance to black spot, downy mildew and powdery mildew.. European Journal of Horticultural Science. 74(1). 1–9. 14 indexed citations

18.

Schulz, Dietmar, et al.. (2009). Evaluation of genus Rosa germplasm for resistance to black spot, downy mildew and powdery mildew. European Journal of Horticultural Science. 1–9. 2 indexed citations

19.

Koopman, Wim J. M., Volker Wissemann, Katrien De Cock, et al.. (2008). AFLP markers as a tool to reconstruct complex relationships: A case study in Rosa (Rosaceae). American Journal of Botany. 95(3). 353–366. 145 indexed citations

20.

Linde, Marcus, et al.. (2006). Powdery mildew resistance in roses: QTL mapping in different environments using selective genotyping. Theoretical and Applied Genetics. 113(6). 1081–1092. 65 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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