Jens Möhring

4.2k total citations · 1 hit paper
65 papers, 3.1k citations indexed

About

Jens Möhring is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Jens Möhring has authored 65 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 34 papers in Genetics and 16 papers in Agronomy and Crop Science. Recurrent topics in Jens Möhring's work include Genetics and Plant Breeding (32 papers), Genetic and phenotypic traits in livestock (26 papers) and Genetic Mapping and Diversity in Plants and Animals (20 papers). Jens Möhring is often cited by papers focused on Genetics and Plant Breeding (32 papers), Genetic and phenotypic traits in livestock (26 papers) and Genetic Mapping and Diversity in Plants and Animals (20 papers). Jens Möhring collaborates with scholars based in Germany, Mexico and Poland. Jens Möhring's co-authors include Hans‐Peter Piepho, Albrecht E. Melchinger, Andreas Büchse, Benjamin Stich, Martin Heckenberger, Sabine Gruber, Wilhelm Claupein, Hans Peter Maurer, Torben Schulz‐Streeck and Joseph O. Ogutu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genetics.

In The Last Decade

Jens Möhring

64 papers receiving 3.0k citations

Hit Papers

BLUP for phenotypic selection in plant breeding and varie... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Möhring Germany 27 2.6k 1.5k 582 185 129 65 3.1k
Marcos Deon Vilela de Resende Brazil 34 4.4k 1.7× 1.9k 1.3× 613 1.1× 433 2.3× 140 1.1× 329 5.9k
Rong‐Cai Yang Canada 29 2.0k 0.8× 1.1k 0.8× 512 0.9× 400 2.2× 46 0.4× 123 2.7k
Alessandro Dal’Cól Lúcio Brazil 22 2.3k 0.9× 346 0.2× 477 0.8× 149 0.8× 42 0.3× 210 2.7k
Haydn Kuchel Australia 29 3.1k 1.2× 1.4k 0.9× 815 1.4× 237 1.3× 36 0.3× 49 3.4k
Yoseph Beyene Kenya 33 3.9k 1.5× 2.7k 1.8× 587 1.0× 543 2.9× 40 0.3× 102 4.4k
Fabiano Ferreira da Silva Brazil 24 927 0.4× 957 0.7× 1.3k 2.2× 133 0.7× 755 5.9× 299 2.7k
Paolo Annicchiarico Italy 38 3.9k 1.5× 1.0k 0.7× 1.6k 2.8× 228 1.2× 64 0.5× 166 4.8k
Jessica Rutkoski United States 35 4.7k 1.8× 3.1k 2.1× 433 0.7× 402 2.2× 27 0.2× 52 5.3k
Andreas Büchse Germany 10 955 0.4× 387 0.3× 251 0.4× 75 0.4× 31 0.2× 14 1.3k
Leonardo Lopes Bhering Brazil 22 1.5k 0.6× 440 0.3× 172 0.3× 186 1.0× 33 0.3× 158 1.9k

Countries citing papers authored by Jens Möhring

Since Specialization
Citations

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

Fields of papers citing papers by Jens Möhring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Möhring

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Möhring. A scholar is included among the top collaborators of Jens Möhring 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 Möhring. Jens Möhring 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.
Witzig, Maren, et al.. (2018). Phytate degradation and phosphorus digestibility in broilers and turkeys fed different corn sources with or without added phytase. Poultry Science. 98(2). 912–922. 26 indexed citations
4.
Schmidt, Paul, et al.. (2018). More, Larger, Simpler: How Comparable Are On‐Farm and On‐Station Trials for Cultivar Evaluation?. Crop Science. 58(4). 1508–1518. 16 indexed citations
5.
Witzig, Maren, et al.. (2017). Variability of prececal phosphorus digestibility of triticale and wheat in broiler chickens. Poultry Science. 97(3). 910–919. 8 indexed citations
6.
Maurer, Hans Peter, et al.. (2016). Variability in amino acid digestibility of triticale grain from diverse genotypes as studied in cecectomized laying hens. Poultry Science. 95(12). 2861–2870. 21 indexed citations
7.
Witzig, Maren, et al.. (2016). Changes in Rumen Microbial Community Composition during Adaption to an In Vitro System and the Impact of Different Forages. PLoS ONE. 11(2). e0150115–e0150115. 39 indexed citations
8.
Möhring, Jens, Emlyn Williams, & Hans‐Peter Piepho. (2015). Inter-block information: to recover or not to recover it?. Theoretical and Applied Genetics. 128(8). 1541–1554. 20 indexed citations
9.
Möhring, Jens, et al.. (2014). The importance of phenotypic data analysis for genomic prediction - a case study comparing different spatial models in rye. BMC Genomics. 15(1). 646–646. 45 indexed citations
10.
Funk, Richard S., et al.. (2014). Prevalence of neutralising antibodies against adenoviruses in lizards and snakes. The Veterinary Journal. 202(1). 176–181. 11 indexed citations
11.
Peters, Michael, et al.. (2012). Effect of feed supplements on dry season milk yield and profitability of crossbred cows in Honduras. Tropical Animal Health and Production. 45(5). 1131–1138. 2 indexed citations
12.
Gruber, Sabine, Carola Pekrun, Jens Möhring, & Wilhelm Claupein. (2012). Long-term yield and weed response to conservation and stubble tillage in SW Germany. Soil and Tillage Research. 121. 49–56. 69 indexed citations
13.
Piepho, Hans‐Peter & Jens Möhring. (2011). On Estimation of Genotypic Correlations and Their Standard Errors by Multivariate REML using the MIXED Procedure of the SAS System. Crop Science. 51(6). 2449–2454. 21 indexed citations
14.
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
15.
Reif, Jochen C., Wenxin Liu, Manje Gowda, et al.. (2010). Genetic basis of agronomically important traits in sugar beet (Beta vulgaris L.) investigated with joint linkage association mapping. Theoretical and Applied Genetics. 121(8). 1489–1499. 25 indexed citations
16.
Fischer, Sandra E., Albrecht E. Melchinger, Viktor Korzun, et al.. (2009). Molecular marker assisted broadening of the Central European heterotic groups in rye with Eastern European germplasm. Theoretical and Applied Genetics. 120(2). 291–299. 29 indexed citations
17.
Wilde, Peer, et al.. (2009). Testcross performance of rye introgression lines developed by marker-assisted backcrossing using an Iranian accession as donor. Theoretical and Applied Genetics. 118(7). 1225–1238. 33 indexed citations
18.
Schrag, Tobias A., Jens Möhring, Albrecht E. Melchinger, et al.. (2009). Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds. Theoretical and Applied Genetics. 120(2). 451–461. 56 indexed citations
19.
Schrag, Tobias A., Jens Möhring, Hans Peter Maurer, et al.. (2008). Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses. Theoretical and Applied Genetics. 118(4). 741–751. 71 indexed citations
20.
Stich, Benjamin, Albrecht E. Melchinger, Martin Heckenberger, et al.. (2008). Association mapping in multiple segregating populations of sugar beet (Beta vulgaris L.). Theoretical and Applied Genetics. 117(7). 1167–1179. 25 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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