Jens Léon

6.6k total citations · 1 hit paper
134 papers, 4.5k citations indexed

About

Jens Léon is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Jens Léon has authored 134 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Plant Science, 54 papers in Genetics and 23 papers in Agronomy and Crop Science. Recurrent topics in Jens Léon's work include Wheat and Barley Genetics and Pathology (73 papers), Genetics and Plant Breeding (53 papers) and Genetic Mapping and Diversity in Plants and Animals (50 papers). Jens Léon is often cited by papers focused on Wheat and Barley Genetics and Pathology (73 papers), Genetics and Plant Breeding (53 papers) and Genetic Mapping and Diversity in Plants and Animals (50 papers). Jens Léon collaborates with scholars based in Germany, Bangladesh and Finland. Jens Léon's co-authors include Heiko C. Becker, Klaus Pillen, Ali Ahmad Naz, Agim Ballvora, Maria von Korff, Arndt Zacharias, Hucheng Wang, Boby Mathew, Henrik Schumann and Wiebke Sannemann and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Jens Léon

130 papers receiving 4.2k citations

Hit Papers

Stability Analysis in Plant Breeding 1988 2026 2000 2013 1988 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Stability Analysis in Plant Breeding
    1988 852 citations Jens Léon et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Léon Germany 34 4.1k 1.6k 764 457 265 134 4.5k
Awais Rasheed Pakistan 31 3.7k 0.9× 1.6k 1.0× 674 0.9× 429 0.9× 551 2.1× 123 4.3k
Aaron J. Lorenz United States 30 3.5k 0.9× 2.2k 1.4× 490 0.6× 321 0.7× 167 0.6× 85 4.1k
Michael Olsen Kenya 31 3.4k 0.8× 2.3k 1.4× 498 0.7× 456 1.0× 257 1.0× 65 4.0k
Mitchell R. Tuinstra United States 35 3.1k 0.8× 1.5k 1.0× 1.4k 1.9× 617 1.4× 280 1.1× 110 4.3k
Jessica Rutkoski United States 35 4.7k 1.1× 3.1k 2.0× 433 0.6× 402 0.9× 485 1.8× 52 5.3k
Haydn Kuchel Australia 29 3.1k 0.8× 1.4k 0.9× 815 1.1× 237 0.5× 206 0.8× 49 3.4k
Curtis Pozniak Canada 38 3.9k 0.9× 1.3k 0.8× 663 0.9× 602 1.3× 163 0.6× 174 4.3k
Tobias Würschum Germany 44 5.4k 1.3× 3.1k 2.0× 833 1.1× 802 1.8× 256 1.0× 166 6.0k
Xianchun Xia China 50 7.2k 1.8× 2.9k 1.9× 1.5k 1.9× 859 1.9× 523 2.0× 198 7.9k
Klaus Pillen Germany 38 4.5k 1.1× 2.1k 1.3× 653 0.9× 691 1.5× 138 0.5× 140 4.8k

Countries citing papers authored by Jens Léon

Since Specialization
Citations

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

Fields of papers citing papers by Jens Léon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Léon

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Léon. A scholar is included among the top collaborators of Jens Léon 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 Jens Léon. Jens Léon 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.
Ballvora, Agim, Juliane Bendig, Anne‐Katrin Mahlein, et al.. (2025). UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels. BMC Plant Biology. 25(1). 1405–1405. 1 indexed citations
2.
Siddiqui, Md. Nurealam, et al.. (2025). Natural genetic variation in nodal root growth angle and anatomy underlies drought tolerance in bread wheat. Environmental and Experimental Botany. 237. 106220–106220.
3.
4.
Siddiqui, Md. Nurealam, Mohammad Kamruzzaman, Miguel Sanchez‐Garcia, et al.. (2024). Genetic control of root architectural traits under drought stress in spring barley ( Hordeum vulgare L.). The Plant Genome. 17(2). e20463–e20463. 4 indexed citations
5.
Siddiqui, Md. Nurealam, et al.. (2023). Genome‐wide dissection and haplotype analysis identified candidate loci for nitrogen use efficiency under drought conditions in winter wheat. The Plant Genome. 17(1). e20394–e20394. 9 indexed citations
6.
Siddiqui, Md. Nurealam, Kailash C. Pandey, Michael Schneider, et al.. (2023). Convergently selected NPF2.12 coordinates root growth and nitrogen use efficiency in wheat and barley. New Phytologist. 238(5). 2175–2193. 12 indexed citations
7.
8.
Rose, Till, Benjamin Wittkop, Andreas Stahl, et al.. (2023). Stage-specific genotype-by-environment interactions determine yield components in wheat. Nature Plants. 9(10). 1688–1696. 13 indexed citations
9.
Ballvora, Agim, et al.. (2023). Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat. International Journal of Molecular Sciences. 24(18). 14011–14011.
10.
Léon, Jens, et al.. (2022). Natural diversity uncoversP5CS1regulation and its role in drought stress tolerance and yield sustainability in barley. Plant Cell & Environment. 45(12). 3523–3536. 16 indexed citations
11.
12.
Magistri, Federico, Radu Alexandru Roşu, Nived Chebrolu, et al.. (2021). Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PLoS ONE. 16(8). e0256340–e0256340. 80 indexed citations
13.
Siddiqui, Md. Nurealam, et al.. (2021). New drought‐adaptive loci underlying candidate genes on wheat chromosome 4B with improved photosynthesis and yield responses. Physiologia Plantarum. 173(4). 2166–2180. 14 indexed citations
14.
Kamruzzaman, Mohammad, et al.. (2021). Abscisic acid-responsive element binding transcription factors contribute to proline synthesis and stress adaptation in Arabidopsis. Journal of Plant Physiology. 261. 153414–153414. 32 indexed citations
15.
Sannemann, Wiebke, et al.. (2019). Effect of epistasis and environment on flowering time in barley reveals a novel flowering-delaying QTL allele. Journal of Experimental Botany. 71(3). 893–906. 14 indexed citations
16.
Mathew, Boby, Jens Léon, & Mikko J. Sillanpää. (2017). A novel linkage-disequilibrium corrected genomic relationship matrix for SNP-heritability estimation and genomic prediction. Heredity. 120(4). 356–368. 28 indexed citations
17.
Maurer, Andreas, Wiebke Sannemann, Jens Léon, & Klaus Pillen. (2016). Estimating parent-specific QTL effects through cumulating linked identity-by-state SNP effects in multiparental populations. Heredity. 118(5). 477–485. 17 indexed citations
18.
Naz, Ali Ahmad, et al.. (2014). Association mapping for shoot traits related to drought tolerance in barley.. International journal of agriculture innovation and research. 3(1). 68–79. 1 indexed citations
19.
Mathew, Boby, et al.. (2012). Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters. Heredity. 109(4). 235–245. 24 indexed citations
20.
Pillen, Klaus, Arndt Zacharias, & Jens Léon. (2004). Comparative AB-QTL analysis in barley using a single exotic donor of Hordeum vulgare ssp. spontaneum.. Theoretical and Applied Genetics. 108(8). 1591–1601. 59 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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