Torben Jahrmann

443 total citations
10 papers, 322 citations indexed

About

Torben Jahrmann is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Torben Jahrmann has authored 10 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Torben Jahrmann's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Cocoa and Sweet Potato Agronomy (3 papers) and Plant Pathogenic Bacteria Studies (2 papers). Torben Jahrmann is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), Cocoa and Sweet Potato Agronomy (3 papers) and Plant Pathogenic Bacteria Studies (2 papers). Torben Jahrmann collaborates with scholars based in Spain, France and Italy. Torben Jahrmann's co-authors include Pere Puigdomènech, Carlos M. Vicient, Jordi García-Más, Valentino Ruggieri, Marta Pujol, Konstantinos G. Alexiou, Lara Pereira, Roberto Tuberosa, Silvio Salvi and José Miguel Soriano and has published in prestigious journals such as Journal of Biological Chemistry, Gene and Frontiers in Plant Science.

In The Last Decade

Torben Jahrmann

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Torben Jahrmann Spain	7	287	144	98	45	9	10	322
Crispin Wye United States	7	302 1.1×	184 1.3×	62 0.6×	71 1.6×	5 0.6×	8	337
Yalin Du China	8	232 0.8×	84 0.6×	169 1.7×	40 0.9×	5 0.6×	15	286
Wim Deleu Spain	7	288 1.0×	154 1.1×	182 1.9×	49 1.1×	3 0.3×	7	347
Zhihua Cheng China	13	393 1.4×	92 0.6×	276 2.8×	44 1.0×	4 0.4×	17	438
Andréa Garavito France	8	176 0.6×	87 0.6×	96 1.0×	22 0.5×	5 0.6×	12	236
H. Tsuruoka Japan	3	202 0.7×	54 0.4×	107 1.1×	22 0.5×	4 0.4×	3	232
Shouru Sun China	12	305 1.1×	191 1.3×	169 1.7×	52 1.2×	2 0.2×	29	364
Henk Verbakel Netherlands	6	199 0.7×	89 0.6×	67 0.7×	7 0.2×	5 0.6×	6	226
T. Tatlioglu Germany	9	323 1.1×	82 0.6×	219 2.2×	64 1.4×	3 0.3×	20	365
Zbigniew Przybecki Poland	10	297 1.0×	195 1.4×	187 1.9×	116 2.6×	2 0.2×	32	387

Countries citing papers authored by Torben Jahrmann

Since Specialization

Citations

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

Fields of papers citing papers by Torben Jahrmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torben Jahrmann

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

All Works

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10 of 10 papers shown

Sopeña‐Torres, Sara, M. Borja, Alberto de Marcos, et al.. (2020). YODA Kinase Controls a Novel Immune Pathway of Tomato Conferring Enhanced Disease Resistance to the Bacterium Pseudomonas syringae. Frontiers in Plant Science. 11. 584471–584471. 10 indexed citations

Pujol, Marta, Konstantinos G. Alexiou, Manuel Miras, et al.. (2019). Mapping Cucumber Vein Yellowing Virus Resistance in Cucumber (Cucumis sativus L.) by Using BSA-seq Analysis. Frontiers in Plant Science. 10. 1583–1583. 22 indexed citations

Pereira, Lara, Valentino Ruggieri, Konstantinos G. Alexiou, et al.. (2018). QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map. BMC Plant Biology. 18(1). 324–324. 91 indexed citations

Emanuelli, Francesco, Linda Zamariola, Silvia Giuliani, et al.. (2017). Cloning of Vgt3, a major QTL for flowering time in maize. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 37–37. 1 indexed citations

Argyris, Jason, Aurora Díaz, Valentino Ruggieri, et al.. (2017). QTL Analyses in Multiple Populations Employed for the Fine Mapping and Identification of Candidate Genes at a Locus Affecting Sugar Accumulation in Melon (Cucumis melo L.). Frontiers in Plant Science. 8. 1679–1679. 34 indexed citations

Soriano, José Miguel, et al.. (2015). Yield QTLome distribution correlates with gene density in maize. Plant Science. 242. 300–309. 49 indexed citations

Soriano, José Miguel, et al.. (2014). QTL meta-analysis for phenology and yield in maize: a possible link?. 1 indexed citations

Jahrmann, Torben, et al.. (2005). Studies on the function of TM20, a transmembrane protein present in cereal embryos. Planta. 222(1). 80–90. 5 indexed citations

Jahrmann, Torben, et al.. (2004). Ankyrin repeat-containing proteins in Arabidopsis: characterization of a novel and abundant group of genes coding ankyrin-transmembrane proteins. Gene. 340(1). 111–121. 96 indexed citations

10.

Stiefel, Virginia, et al.. (1999). TM20, a Gene Coding for a New Class of Transmembrane Proteins Expressed in the Meristematic Tissues of Maize. Journal of Biological Chemistry. 274(39). 27734–27739. 13 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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