Jochen C. Reif

14.7k total citations
210 papers, 9.1k citations indexed

About

Jochen C. Reif is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Jochen C. Reif has authored 210 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Plant Science, 160 papers in Genetics and 21 papers in Agronomy and Crop Science. Recurrent topics in Jochen C. Reif's work include Genetics and Plant Breeding (153 papers), Genetic Mapping and Diversity in Plants and Animals (138 papers) and Wheat and Barley Genetics and Pathology (131 papers). Jochen C. Reif is often cited by papers focused on Genetics and Plant Breeding (153 papers), Genetic Mapping and Diversity in Plants and Animals (138 papers) and Wheat and Barley Genetics and Pathology (131 papers). Jochen C. Reif collaborates with scholars based in Germany, China and United States. Jochen C. Reif's co-authors include Albrecht E. Melchinger, Yusheng Zhao, Hans Peter Maurer, Tobias Würschum, C. Friedrich H. Longin, Yong Jiang, Manje Gowda, Matthias Frisch, Viktor Korzun and Erhard Ebmeyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Jochen C. Reif

207 papers receiving 8.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen C. Reif Germany 54 8.3k 5.6k 1.1k 970 287 210 9.1k
Susanne Dreisigacker Mexico 46 8.3k 1.0× 5.5k 1.0× 1.1k 1.0× 637 0.7× 194 0.7× 170 9.0k
Juan Burgueño Mexico 39 6.4k 0.8× 4.8k 0.9× 748 0.7× 515 0.5× 306 1.1× 142 7.3k
Tobias Würschum Germany 44 5.4k 0.7× 3.1k 0.6× 833 0.7× 802 0.8× 256 0.9× 166 6.0k
Roberto Tuberosa Italy 51 9.1k 1.1× 3.8k 0.7× 1.6k 1.4× 1.5k 1.5× 216 0.8× 173 9.7k
Xianchun Xia China 50 7.2k 0.9× 2.9k 0.5× 1.5k 1.3× 859 0.9× 523 1.8× 198 7.9k
Marilyn L. Warburton United States 52 7.8k 0.9× 4.9k 0.9× 876 0.8× 1.5k 1.5× 137 0.5× 165 9.0k
Yunbi Xu China 48 7.3k 0.9× 4.5k 0.8× 572 0.5× 1.4k 1.5× 153 0.5× 110 8.3k
Jean‐Luc Jannink United States 61 13.4k 1.6× 10.5k 1.9× 1.2k 1.1× 1.2k 1.3× 394 1.4× 210 15.9k
Alain Charcosset France 49 6.4k 0.8× 5.1k 0.9× 804 0.7× 809 0.8× 111 0.4× 132 7.3k
James B. Holland United States 47 9.8k 1.2× 7.1k 1.3× 1.3k 1.2× 1.7k 1.8× 233 0.8× 159 11.9k

Countries citing papers authored by Jochen C. Reif

Since Specialization
Citations

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

Fields of papers citing papers by Jochen C. Reif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jochen C. Reif. 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 Jochen C. Reif. The network helps show where Jochen C. Reif may publish in the future.

Co-authorship network of co-authors of Jochen C. Reif

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen C. Reif. A scholar is included among the top collaborators of Jochen C. Reif 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 Jochen C. Reif. Jochen C. Reif 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.
Zhao, Yusheng, et al.. (2025). Wheat variety mixtures enhance yield stability and result in pronounced overyielding for certain line combinations. European Journal of Agronomy. 172. 127886–127886.
2.
Pommier, Cyril, Llorenç Cabrera‐Bosquet, Xavier Draye, et al.. (2025). Reassessing data management in increasingly complex phenotypic datasets. Trends in Plant Science.
3.
Schulthess, Albert W., Renate Schmidt, Guoliang Li, et al.. (2025). Disentangling the genetic architecture of key traits for wheat hybrid seed production. Journal of Experimental Botany. 76(18). 5320–5336. 1 indexed citations
4.
Jiang, Yong, et al.. (2024). Trait-customized sampling of core collections from a winter wheat genebank collection supports association studies. Frontiers in Plant Science. 15. 1451749–1451749. 2 indexed citations
5.
Zhao, Yusheng, et al.. (2024). Leveraging the potential of big genomic and phenotypic data for genome-wide association mapping in wheat. The Crop Journal. 12(3). 803–813. 1 indexed citations
6.
7.
Mascher, Martin, Nils Stein, Murukarthick Jayakodi, et al.. (2024). Capitalizing on genebank core collections for rare and novel disease resistance loci to enhance barley resilience. Journal of Experimental Botany. 75(18). 5940–5954. 3 indexed citations
8.
Kale, Sandip M., Albert W. Schulthess, Sudharsan Padmarasu, et al.. (2022). A catalogue of resistance gene homologs and a chromosome‐scale reference sequence support resistance gene mapping in winter wheat. Plant Biotechnology Journal. 20(9). 1730–1742. 31 indexed citations
9.
10.
Schulthess, Albert W., et al.. (2022). Gabi wheat a panel of European elite lines as central stock for wheat genetic research. Scientific Data. 9(1). 538–538. 13 indexed citations
11.
Li, Yanfei, Yinghui Li, Jochen C. Reif, et al.. (2021). SoySNP618K array: A high‐resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding. Journal of Integrative Plant Biology. 64(3). 632–648. 11 indexed citations
12.
Saxena, Rachit K., Yong Jiang, Aamir W. Khan, et al.. (2021). Characterization of heterosis and genomic prediction‐based establishment of heterotic patterns for developing better hybrids in pigeonpea. The Plant Genome. 14(3). e20125–e20125. 11 indexed citations
13.
Ebmeyer, Erhard, et al.. (2021). Efficiency of a Seedling Phenotyping Strategy to Support European Wheat Breeding Focusing on Leaf Rust Resistance. Biology. 10(7). 628–628. 4 indexed citations
14.
Reif, Jochen C., et al.. (2021). Optimizing the setup of multienvironmental hybrid wheat yield trials for boosting the selection capability. The Plant Genome. 14(3). 5 indexed citations
15.
Liu, Fang, Yong Jiang, Yusheng Zhao, Albert W. Schulthess, & Jochen C. Reif. (2020). Haplotype-based genome-wide association increases the predictability of leaf rust (Puccinia triticina) resistance in wheat. Journal of Experimental Botany. 71(22). 6958–6968. 17 indexed citations
16.
Stiewe, Gunther, et al.. (2019). Proof of concept to unmask the breeding value of genetic resources of barley (Hordeum vulgare) with a hybrid strategy. Plant Breeding. 139(3). 536–549. 5 indexed citations
17.
Kollers, Sonja, Viktor Korzun, Daniela Nowara, et al.. (2019). Association mapping of wheat Fusarium head blight resistance-related regions using a candidate-gene approach and their verification in a biparental population. Theoretical and Applied Genetics. 133(1). 341–351. 2 indexed citations
18.
Philipp, Norman, Stéphan Weise, Markus Oppermann, et al.. (2019). Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection. Scientific Data. 6(1). 137–137. 14 indexed citations
19.
Thorwarth, Patrick, Guozheng Liu, Erhard Ebmeyer, et al.. (2018). Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population. Theoretical and Applied Genetics. 132(2). 489–500. 31 indexed citations
20.
Jiang, Yong, Renate Schmidt, Yusheng Zhao, & Jochen C. Reif. (2017). A quantitative genetic framework highlights the role of epistatic effects for grain-yield heterosis in bread wheat. Nature Genetics. 49(12). 1741–1746. 136 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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